Location : SB-Cambridge - Science Park, United Kingdom
Contract Type : Full Time Permanent
About our Opportunity : Are you ready to join the global leader in engineering and industrial software? You’ll be part of a team that drives digital transformation to over 16,000 customers across the globe and strives for excellence every day. There are 4,700 of our people in more than 40 countries who challenge themselves and each other to create and improve the transformative technology our customers need. With our help, industries across the world can make a positive difference to the lives of people everywhere. We take pride in our core values and the diversity of our people, valuing the unique experience and expertise that people from different backgrounds bring to our business. At AVEVA, we’re all about Limitless possibilities. Are you? About AVEVA AVEVA is a global leader in engineering and industrial software driving digital transformation across the entire asset and operational life cycle of capital-intensive industries. Overview The company’s engineering, planning and operations, asset performance, and monitoring and control solutions deliver proven results to over 16,000 customers across the globe. Its customers are supported by the largest industrial software ecosystem, including 4,200 partners and 5,700 certified developers. AVEVA is headquartered in Cambridge, UK, with over 4,400 employees at 80 locations in over 40 countries. At AVEVA we help our users to make better decisions in Supply Chain operations. Our tools optimize the use of natural resources, allow efficient collaboration and maximize equipment utilization. We do that by embedding AI in the core of our decision making and provide reliable, safe and optimal solution recommendations. Our AI-based system is disrupting the market and revolutionizing the way users interact with decision support tools. We are looking for an experienced Machine Learning Engineer who has a practical orientation, likes building things and gets a kick out of seeing them working. This person will join a talented and motivated team, develop AI-based algorithms, focus on further deepening our technological approach and incorporating that work into our products. Principal Accountabilities:
Conducting the experiment and building rapid prototypes of new research ideas
Keeping track of the recent advances in AI/ML field and their potential applications to our domain
Working as part of an Agile team focusing on productization of ideas
Designing, implementing and deploying machine learning models
Working very closely with the Product Management team on creating solution ideas for the customer problems
When necessary interacting with internal stakeholders and probably customers and clearly communicating our approach
Knowledge, Skills & Experience Required
Advanced degree (Masters or PhD) in Computer Science/Mathematics/Physics
Hands-on experience with building and deploying ML models (including Deep Learning) with TensorFlow and/or PyTorch
Strong software design and implementation skills (C++ and/or Python)
Strong interest in and knowledge of Reinforcement Learning will be an advantage
Background in Optimization and Operations Research is desirable
Ability to create visualizations and communicate technical findings to the broader team
AVEVA is an Equal Opportunity Employer and we take pride in the diversity of our employees, valuing the special experience and expertise that people from different backgrounds bring to our business. The ability to develop ground-breaking technologies is one of our key assets and our people make it happen. Come and join AVEVA to create the transformative technology that enables our customers to engineer a better world. Concerning agencies: Aveva does not accept unsolicited resumes and will not be responsible for fees related to such.
How to Apply:
AVEVA welcomes all applicants regardless of gender, sexual orientation, marital/civil partnership status, race, religion and belief, disability or age.
28/01/2020
Full time
Location : SB-Cambridge - Science Park, United Kingdom
Contract Type : Full Time Permanent
About our Opportunity : Are you ready to join the global leader in engineering and industrial software? You’ll be part of a team that drives digital transformation to over 16,000 customers across the globe and strives for excellence every day. There are 4,700 of our people in more than 40 countries who challenge themselves and each other to create and improve the transformative technology our customers need. With our help, industries across the world can make a positive difference to the lives of people everywhere. We take pride in our core values and the diversity of our people, valuing the unique experience and expertise that people from different backgrounds bring to our business. At AVEVA, we’re all about Limitless possibilities. Are you? About AVEVA AVEVA is a global leader in engineering and industrial software driving digital transformation across the entire asset and operational life cycle of capital-intensive industries. Overview The company’s engineering, planning and operations, asset performance, and monitoring and control solutions deliver proven results to over 16,000 customers across the globe. Its customers are supported by the largest industrial software ecosystem, including 4,200 partners and 5,700 certified developers. AVEVA is headquartered in Cambridge, UK, with over 4,400 employees at 80 locations in over 40 countries. At AVEVA we help our users to make better decisions in Supply Chain operations. Our tools optimize the use of natural resources, allow efficient collaboration and maximize equipment utilization. We do that by embedding AI in the core of our decision making and provide reliable, safe and optimal solution recommendations. Our AI-based system is disrupting the market and revolutionizing the way users interact with decision support tools. We are looking for an experienced Machine Learning Engineer who has a practical orientation, likes building things and gets a kick out of seeing them working. This person will join a talented and motivated team, develop AI-based algorithms, focus on further deepening our technological approach and incorporating that work into our products. Principal Accountabilities:
Conducting the experiment and building rapid prototypes of new research ideas
Keeping track of the recent advances in AI/ML field and their potential applications to our domain
Working as part of an Agile team focusing on productization of ideas
Designing, implementing and deploying machine learning models
Working very closely with the Product Management team on creating solution ideas for the customer problems
When necessary interacting with internal stakeholders and probably customers and clearly communicating our approach
Knowledge, Skills & Experience Required
Advanced degree (Masters or PhD) in Computer Science/Mathematics/Physics
Hands-on experience with building and deploying ML models (including Deep Learning) with TensorFlow and/or PyTorch
Strong software design and implementation skills (C++ and/or Python)
Strong interest in and knowledge of Reinforcement Learning will be an advantage
Background in Optimization and Operations Research is desirable
Ability to create visualizations and communicate technical findings to the broader team
AVEVA is an Equal Opportunity Employer and we take pride in the diversity of our employees, valuing the special experience and expertise that people from different backgrounds bring to our business. The ability to develop ground-breaking technologies is one of our key assets and our people make it happen. Come and join AVEVA to create the transformative technology that enables our customers to engineer a better world. Concerning agencies: Aveva does not accept unsolicited resumes and will not be responsible for fees related to such.
How to Apply:
AVEVA welcomes all applicants regardless of gender, sexual orientation, marital/civil partnership status, race, religion and belief, disability or age.
Current enrolment in a degree-granting college or university working towards a PhD in Machine Learning, Data Mining, Statistics, Applied Mathematics, or a related field.
Hands on experience in probabilistic modelling and analysis, in particular one or more of: Bayesian machine learning, deep learning, crowdsourcing, user modelling.
At least one refereed academic publication in these areas.
Good coding skills. Experience in Python is a plus.
Good communication skills and the ability to work in a team.
The Alexa Shopping: Privacy and Machine Learning team in Cambridge is looking for Applied Science Interns for summer 2020. As an applied scientist in Alexa Shopping, you will be responsible for the research, design and development of new machine learning and privacy enhancing technologies for voice-based and multimodal shopping experiences. You will be working with top scientists and engineers, as well as with product teams and other research partners, both locally and abroad. Your work will combine data mining, systems and software development, exploration of new technologies, as well as working towards publications and presentations at top scientific conferences. The team has expertise in Gaussian processes, approximate inference, probabilistic modelling, deep learning, crowdsourcing, user modelling, and other related fields. We employ all these technologies to continually improve the experience of Amazon customers.
Ability to convey rigorous mathematical concepts and considerations to non-experts.
Ability to distil problem definitions, models, and constraints from informal business requirements; and to deal with ambiguity and competing objectives.
Strong software development skills.
Familiarity with one or more of: approximate methods in Bayesian inference, Gaussian Processes, transfer/continual/meta/active learning.
By submitting your resume and application information, you authorize Amazon to transmit and store your information in the Amazon group of companies' world-wide recruitment database, and to circulate that information as necessary for the purpose of evaluating your qualifications for this or other job vacancies
21/02/2020
Full time
Current enrolment in a degree-granting college or university working towards a PhD in Machine Learning, Data Mining, Statistics, Applied Mathematics, or a related field.
Hands on experience in probabilistic modelling and analysis, in particular one or more of: Bayesian machine learning, deep learning, crowdsourcing, user modelling.
At least one refereed academic publication in these areas.
Good coding skills. Experience in Python is a plus.
Good communication skills and the ability to work in a team.
The Alexa Shopping: Privacy and Machine Learning team in Cambridge is looking for Applied Science Interns for summer 2020. As an applied scientist in Alexa Shopping, you will be responsible for the research, design and development of new machine learning and privacy enhancing technologies for voice-based and multimodal shopping experiences. You will be working with top scientists and engineers, as well as with product teams and other research partners, both locally and abroad. Your work will combine data mining, systems and software development, exploration of new technologies, as well as working towards publications and presentations at top scientific conferences. The team has expertise in Gaussian processes, approximate inference, probabilistic modelling, deep learning, crowdsourcing, user modelling, and other related fields. We employ all these technologies to continually improve the experience of Amazon customers.
Ability to convey rigorous mathematical concepts and considerations to non-experts.
Ability to distil problem definitions, models, and constraints from informal business requirements; and to deal with ambiguity and competing objectives.
Strong software development skills.
Familiarity with one or more of: approximate methods in Bayesian inference, Gaussian Processes, transfer/continual/meta/active learning.
By submitting your resume and application information, you authorize Amazon to transmit and store your information in the Amazon group of companies' world-wide recruitment database, and to circulate that information as necessary for the purpose of evaluating your qualifications for this or other job vacancies
Founded in 2016, ThirdEye uses AI to automate the world’s 245m CCTV cameras. We then put this power in real-time into the hands of all retail workers and make them see where customers are looking at and what they interact with. This helps retailers reduce theft, optimise store operations & product promotions, and much more. Thereby, we keep our clients productive and competitive in an ever evolving market.
Based in the heart of vibrant Central London, we’re a young, multi-cultural team from different professional backgrounds with a shared passion for tech and retail. Needless to say, we’re a bit geeky - but in the most adorable way! We love our daily lunch break walks to local street food markets just as much as a fusball team battle and occasional post-work activities.
The Team
You are part of a small but exponentially growing, multi-cultural team of engineers and business people. Fast paced, with ever expanding new ways of delivering cutting edge solutions to retailers across the globe.
Having just closed a very successful seed round we are now looking to further bolster up our ML Engineering team with a Machine Learning Researcher to help us build one of the world's most powerful and impressive real-time computer AI vision products on the market.
The ideal candidate will help master our real-time video classification engine whilst keeping up to date with latest industry and deep learning methods for action recognition on live video.
Focus of the Role:
Your main mission will be to breath state-of-the-art computer vision knowledge into the team whilst providing industry-leading strategical advice to help implement new computer vision products.
Making key industry recommendations to the ML and leadership team such algorithm options and current developments in computer vision
Mentoring junior and mid-level ML team members
Staying abreast with current ultramodern industry trends and computer visions advancements
Implementing computer vision algorithms
Required Skills & Experience:
Ph.D. or MSc. in a relevant field with extensive studies relating to Machine Learning and/or Computer Vision
Extensive knowledge in applied computer vision
Experience working with camera and multi-view geometry
Strong understanding of deep learning and working with machine learning algorithms
Ability to present techniques such as algorithms to both technical and (occasionally) non-technical stakeholders
Understanding of model verification
Experience in Python and Tensorflow
It'd be nice if you have:
Experience with pyTorch, Caffe and machine learning libraries like sklearn
Knowledge on 2D and/or 3D pose estimation from single view
Camera calibration knowledge
Experience or knowledge in embedding computer vision algorithms in low-power platforms (Phones, ARM chips, etc)
What's in it for you:
This role can be worked in conjunction with completing your PhD. We are able to offer part-time work to fit around studies.
Learning budget
Dedicated time to learn and hone new skills
Loads of team socials including ski trips with other businesses!
Pension contributions
25 days holiday per year, plus bank holidays
Generous amount of equity
We can offer sponsorship for this role
If relocating for the role, you'll be assigned a buddy to help you with the practicalities of living in London such as housing, taxes, transport etc
21/02/2020
Full time
Founded in 2016, ThirdEye uses AI to automate the world’s 245m CCTV cameras. We then put this power in real-time into the hands of all retail workers and make them see where customers are looking at and what they interact with. This helps retailers reduce theft, optimise store operations & product promotions, and much more. Thereby, we keep our clients productive and competitive in an ever evolving market.
Based in the heart of vibrant Central London, we’re a young, multi-cultural team from different professional backgrounds with a shared passion for tech and retail. Needless to say, we’re a bit geeky - but in the most adorable way! We love our daily lunch break walks to local street food markets just as much as a fusball team battle and occasional post-work activities.
The Team
You are part of a small but exponentially growing, multi-cultural team of engineers and business people. Fast paced, with ever expanding new ways of delivering cutting edge solutions to retailers across the globe.
Having just closed a very successful seed round we are now looking to further bolster up our ML Engineering team with a Machine Learning Researcher to help us build one of the world's most powerful and impressive real-time computer AI vision products on the market.
The ideal candidate will help master our real-time video classification engine whilst keeping up to date with latest industry and deep learning methods for action recognition on live video.
Focus of the Role:
Your main mission will be to breath state-of-the-art computer vision knowledge into the team whilst providing industry-leading strategical advice to help implement new computer vision products.
Making key industry recommendations to the ML and leadership team such algorithm options and current developments in computer vision
Mentoring junior and mid-level ML team members
Staying abreast with current ultramodern industry trends and computer visions advancements
Implementing computer vision algorithms
Required Skills & Experience:
Ph.D. or MSc. in a relevant field with extensive studies relating to Machine Learning and/or Computer Vision
Extensive knowledge in applied computer vision
Experience working with camera and multi-view geometry
Strong understanding of deep learning and working with machine learning algorithms
Ability to present techniques such as algorithms to both technical and (occasionally) non-technical stakeholders
Understanding of model verification
Experience in Python and Tensorflow
It'd be nice if you have:
Experience with pyTorch, Caffe and machine learning libraries like sklearn
Knowledge on 2D and/or 3D pose estimation from single view
Camera calibration knowledge
Experience or knowledge in embedding computer vision algorithms in low-power platforms (Phones, ARM chips, etc)
What's in it for you:
This role can be worked in conjunction with completing your PhD. We are able to offer part-time work to fit around studies.
Learning budget
Dedicated time to learn and hone new skills
Loads of team socials including ski trips with other businesses!
Pension contributions
25 days holiday per year, plus bank holidays
Generous amount of equity
We can offer sponsorship for this role
If relocating for the role, you'll be assigned a buddy to help you with the practicalities of living in London such as housing, taxes, transport etc
Region
EMEA
Practice group
Real Estate
Office
London
Position type
Permanent
Summary
Eversheds Sutherland has one of the world’s largest full-service real estate teams. We deliver global coverage through our network of lawyers in key jurisdictions. We take pride in our deal and client coverage and work in partnership with global, regional and local businesses that develop, manage, trade, finance and invest in real estate.
Our Real Estate Practice Group (REPG) handles every aspect of commercial real estate, including retail, office, industrial, hospitality and leisure, multifamily, student housing, affordable housing, data centers, leasing transactions, healthcare, timber, natural resources and agribusiness projects. The team has in-depth experience in major regeneration and infrastructure-led projects, premier investment mandates, multi-layered funds and joint ventures structured for tax and regulatory efficiency, alternative real estate assets and portfolio asset management.
This role will form part of the recently formed REPG Legal Technology Team.
21/02/2020
Full time
Region
EMEA
Practice group
Real Estate
Office
London
Position type
Permanent
Summary
Eversheds Sutherland has one of the world’s largest full-service real estate teams. We deliver global coverage through our network of lawyers in key jurisdictions. We take pride in our deal and client coverage and work in partnership with global, regional and local businesses that develop, manage, trade, finance and invest in real estate.
Our Real Estate Practice Group (REPG) handles every aspect of commercial real estate, including retail, office, industrial, hospitality and leisure, multifamily, student housing, affordable housing, data centers, leasing transactions, healthcare, timber, natural resources and agribusiness projects. The team has in-depth experience in major regeneration and infrastructure-led projects, premier investment mandates, multi-layered funds and joint ventures structured for tax and regulatory efficiency, alternative real estate assets and portfolio asset management.
This role will form part of the recently formed REPG Legal Technology Team.
Marketing & Data Scientist – Big Data, R, Python, Machine Learning
This global insight business is looking to add to its London-based data science team. This Marketing & Data Scientist position demands both technical ability and commercial acumen. With a strong background in statistics, survey methodology and advanced analytics, you will also have had some exposure to data science methods such as artificial intelligence and machine learning. You will be au fait with a range of statistical techniques such as segmentation, clustering, correspondence analysis, factor analysis and regression and tools such as SPSS, R and SQL.
In this role you will be involved in working with unstructured data, big data, social media, digital and research data using packages like Hive, R and Python
Skills and Experience required will include:
Postgrad degree in Statistics, Data Science or analysis,
Advanced knowledge of R
Experience of SAS or SPSS
Experience of SQL queries
Big data exposure to languages such as Hive, PIG
Experience of integrating and modelling behavioural data, including segmentation and predictive analytics
This opportunity will suit an effective communicator who is adept at proposal writing and presenting to clients too. Fantastic role in a forward-facing team.
19/02/2020
Full time
Marketing & Data Scientist – Big Data, R, Python, Machine Learning
This global insight business is looking to add to its London-based data science team. This Marketing & Data Scientist position demands both technical ability and commercial acumen. With a strong background in statistics, survey methodology and advanced analytics, you will also have had some exposure to data science methods such as artificial intelligence and machine learning. You will be au fait with a range of statistical techniques such as segmentation, clustering, correspondence analysis, factor analysis and regression and tools such as SPSS, R and SQL.
In this role you will be involved in working with unstructured data, big data, social media, digital and research data using packages like Hive, R and Python
Skills and Experience required will include:
Postgrad degree in Statistics, Data Science or analysis,
Advanced knowledge of R
Experience of SAS or SPSS
Experience of SQL queries
Big data exposure to languages such as Hive, PIG
Experience of integrating and modelling behavioural data, including segmentation and predictive analytics
This opportunity will suit an effective communicator who is adept at proposal writing and presenting to clients too. Fantastic role in a forward-facing team.
Transition Partners Limited
AI / Machine Learning Principal Enterprise Architect – Open Salary + Excellent Benefits
Central London, Bristol or Ipswich
Transition Partners are currently recruiting for a Principle Enterprise Architect (Cognitive Technologies) to join a globally branded organisation who have a number of offices across the UK.
This truly is an exciting time to join our client on a massive, multi-billion pound digital transformation programme.
As the Principle Enterprise Architect you will be working heavily with AI/Machine Learning/ RPA based technologies delivering innovative solutions to help develop, design and implement more intelligent services to create world-class AI driven solutions.
The Principle Enterprise Architect will work on Architecture specifically with patterns of Cognitive Technologies, implementing new ideas and redeveloping products to make them more scalable.
Required skills:
Experienced Enterprise Architect demonstrating strong experience of Enterprise Architecture in different sectors.
Experienced in developing strategy across a number of environments design roadmaps and best practice.
You will be an excellent leader showing stakeholder management at senior level.
You will have experience implementing technologies such as Deep learning, Machine Learning, process automation, Visual, Language and Smart Machines.
Proven experience and understanding of Cognitive technologies.
You will have experience with practical implementations and CI/CD approaches
Please APPLY to this opportunity today for more information!
Cognitive technologies, Machine Learning, ML, Visual identification, Language services, Sensor based networks, Smart machines, Optimisation, Robotics, process automation, Artificial Intelligence, AI,
We will process your CV and personal information to assess your suitability for the role. If we wish to consider you further, we will register your personal information in our database and contact you. We may contact you from time to time about other relevant roles. Your personal information will be securely held
19/02/2020
Full time
Transition Partners Limited
AI / Machine Learning Principal Enterprise Architect – Open Salary + Excellent Benefits
Central London, Bristol or Ipswich
Transition Partners are currently recruiting for a Principle Enterprise Architect (Cognitive Technologies) to join a globally branded organisation who have a number of offices across the UK.
This truly is an exciting time to join our client on a massive, multi-billion pound digital transformation programme.
As the Principle Enterprise Architect you will be working heavily with AI/Machine Learning/ RPA based technologies delivering innovative solutions to help develop, design and implement more intelligent services to create world-class AI driven solutions.
The Principle Enterprise Architect will work on Architecture specifically with patterns of Cognitive Technologies, implementing new ideas and redeveloping products to make them more scalable.
Required skills:
Experienced Enterprise Architect demonstrating strong experience of Enterprise Architecture in different sectors.
Experienced in developing strategy across a number of environments design roadmaps and best practice.
You will be an excellent leader showing stakeholder management at senior level.
You will have experience implementing technologies such as Deep learning, Machine Learning, process automation, Visual, Language and Smart Machines.
Proven experience and understanding of Cognitive technologies.
You will have experience with practical implementations and CI/CD approaches
Please APPLY to this opportunity today for more information!
Cognitive technologies, Machine Learning, ML, Visual identification, Language services, Sensor based networks, Smart machines, Optimisation, Robotics, process automation, Artificial Intelligence, AI,
We will process your CV and personal information to assess your suitability for the role. If we wish to consider you further, we will register your personal information in our database and contact you. We may contact you from time to time about other relevant roles. Your personal information will be securely held
The School of Engineering, Computing and Mathematics offers a wide range of degree programmes related to Technology in the areas of Robotics, Electronics, Computer Science and Mathematics. Providing a stimulating teaching and research environment with strong connections to business and industry, we offer excellent employment prospects for our graduates. We have a well-established interdisciplinary research base which covers: Centre for Robotics and Neural Systems (CRNS); Security, Communications & Networks; Nanotechnology & Electronics Research and Development.
We have a vacancy for an enthusiastic, innovative and dynamic individual to join our vibrant School to support Robotics, Artificial Intelligence and Machine Learning, especially applied to solving real-world problems by building systems that can operate near people. Areas of interest include (but are not limited to) Robotic System Design, Mobile and Industrial Manipulation, Machine Learning for Control and Recognition, Human Motor Control, Kinematics and Dynamics of robotics systems.
Applications are invited from experienced academics and/or professional engineers, who can demonstrate a commitment and enthusiasm for innovation in higher education and to the development of the next generation of Engineers. You must have undergraduate and postgraduate degrees in relevant disciplines (such as Engineering/Maths/Physics/Computer Science), together with an international profile and reputation for research excellence.
As well as carrying out cutting edge research, you will supervise and contribute to training of Research Assistants (RAs) and PhD students, as well as undergraduate and graduate teaching within the School. The Electronics and Robotics subject groups are renowned for excellence in producing high quality practical engineers and you should be able to support hardware and software projects.
This is a full-time position working 37 hours per week on a permanent basis.
Informal enquiries regarding the post can be made to Dr Toby Whitley: toby.whitley@plymouth.ac.uk
Further information about the school and its courses is available at https://www.plymouth.ac.uk/schools/school-of-engineering-computing-and-mathematics with details of our research centre available at https://www.plymouth.ac.uk/research/robotics-neural-systems
The University of Plymouth is committed to equality of opportunity, promoting a diverse and inclusive culture, demonstrated through our commitment to the gender equality Athena SWAN Charter and as a Stonewall diversity champion. All applications will be judged solely on merit, however, we particularly welcome applications from groups currently under-represented in the workforce, for example black and minority ethnic groups.
University of Plymouth holds a TEF (Teaching Excellence and Student Outcomes Framework) Silver by the Office for Students
19/02/2020
Full time
The School of Engineering, Computing and Mathematics offers a wide range of degree programmes related to Technology in the areas of Robotics, Electronics, Computer Science and Mathematics. Providing a stimulating teaching and research environment with strong connections to business and industry, we offer excellent employment prospects for our graduates. We have a well-established interdisciplinary research base which covers: Centre for Robotics and Neural Systems (CRNS); Security, Communications & Networks; Nanotechnology & Electronics Research and Development.
We have a vacancy for an enthusiastic, innovative and dynamic individual to join our vibrant School to support Robotics, Artificial Intelligence and Machine Learning, especially applied to solving real-world problems by building systems that can operate near people. Areas of interest include (but are not limited to) Robotic System Design, Mobile and Industrial Manipulation, Machine Learning for Control and Recognition, Human Motor Control, Kinematics and Dynamics of robotics systems.
Applications are invited from experienced academics and/or professional engineers, who can demonstrate a commitment and enthusiasm for innovation in higher education and to the development of the next generation of Engineers. You must have undergraduate and postgraduate degrees in relevant disciplines (such as Engineering/Maths/Physics/Computer Science), together with an international profile and reputation for research excellence.
As well as carrying out cutting edge research, you will supervise and contribute to training of Research Assistants (RAs) and PhD students, as well as undergraduate and graduate teaching within the School. The Electronics and Robotics subject groups are renowned for excellence in producing high quality practical engineers and you should be able to support hardware and software projects.
This is a full-time position working 37 hours per week on a permanent basis.
Informal enquiries regarding the post can be made to Dr Toby Whitley: toby.whitley@plymouth.ac.uk
Further information about the school and its courses is available at https://www.plymouth.ac.uk/schools/school-of-engineering-computing-and-mathematics with details of our research centre available at https://www.plymouth.ac.uk/research/robotics-neural-systems
The University of Plymouth is committed to equality of opportunity, promoting a diverse and inclusive culture, demonstrated through our commitment to the gender equality Athena SWAN Charter and as a Stonewall diversity champion. All applications will be judged solely on merit, however, we particularly welcome applications from groups currently under-represented in the workforce, for example black and minority ethnic groups.
University of Plymouth holds a TEF (Teaching Excellence and Student Outcomes Framework) Silver by the Office for Students
The AXA Advanced Claims Analytics team is delivering the latest in Machine Learning on Microsoft's Azure cloud platform. Joining Data Engineering is an opportunity to develop your Python skills in the world of Apache Spark, Data Bricks & Big Data on Azure & AWS.
We are building a new Analytics team, so you’ll have a real opportunity to shape the way AXA uses its new Data Lake. You will play a key part in defining and establishing data pipelines.
As a Big Data Engineer you will be ingesting data from a variety of data sources from relational databases to unstructured data such as images or HTML documents. We will then use big data tools such as Apache Spark & Data Bricks on Azure to process, clean & enhance this data to produce reliable feature sets for our Data Science teams to train & build Machine Learning models.
There will be opportunities to work closely with Data Science teams & develop Machine Learning skills & experience. This is a new function at AXA on a new platform with opportunities to shape the way we use big data technologies & Azure\AWS Cloud Services to deliver business value.
We are looking for an experienced Python developer to work on a variety of technical Data Engineering tasks, essential skills\experience are:
Multi-year real world Python coding experience
Sound knowledge & demonstrable experience of best practice Python Software Engineering.
Enthusiasm & a passion for coding in Python & producing high quality, elegant code.
An understanding & interest in big data & data engineering
What you’ll need
The following would be desirable in this role:
Experience building and optimizing data ingestion and processing pipelines
Relational Database\SQL experience or NoSQL Database experience.
Experience in Big Data tools - Spark, Hadoop, Data Bricks
Public Cloud experience - Azure, AWS, Google Cloud etc..
We would like to see
- A real interest in technology such as Cloud computing, Data lake, Machine Learning.
- A flexible approach, business & technical needs change & evolve you need to flex with these changes.
- A collaborative nature, working closely & sharing ideas with Data Science teams, BI teams & Project Management.
Rewards
As you’d expect from a global leader, our reward package is a world-beater here’s a small selection of our current benefits.
Bonus Scheme linked to yours and the company’s performance.
Pension scheme with employer contributions as well as your own.
Life assurance 10x reference salary (4x if not in the Pension Scheme)
25 days holiday, increasing to 28 days by your fifth year of service. Interest free season ticket loan scheme.
Access to MAX Benefits where you enjoy cashback and discounts on thousands of retails, holidays and purchases.
Flex benefits such as holiday purchase, dental care, bikes for work.
20% discount with EE.
50% off Pure Gym membership.
Discount on all AXA Insurance products, including car, home and travel insurance, breakdown cover & healthcare.
Investment in Professional Qualifications.
18/02/2020
Full time
The AXA Advanced Claims Analytics team is delivering the latest in Machine Learning on Microsoft's Azure cloud platform. Joining Data Engineering is an opportunity to develop your Python skills in the world of Apache Spark, Data Bricks & Big Data on Azure & AWS.
We are building a new Analytics team, so you’ll have a real opportunity to shape the way AXA uses its new Data Lake. You will play a key part in defining and establishing data pipelines.
As a Big Data Engineer you will be ingesting data from a variety of data sources from relational databases to unstructured data such as images or HTML documents. We will then use big data tools such as Apache Spark & Data Bricks on Azure to process, clean & enhance this data to produce reliable feature sets for our Data Science teams to train & build Machine Learning models.
There will be opportunities to work closely with Data Science teams & develop Machine Learning skills & experience. This is a new function at AXA on a new platform with opportunities to shape the way we use big data technologies & Azure\AWS Cloud Services to deliver business value.
We are looking for an experienced Python developer to work on a variety of technical Data Engineering tasks, essential skills\experience are:
Multi-year real world Python coding experience
Sound knowledge & demonstrable experience of best practice Python Software Engineering.
Enthusiasm & a passion for coding in Python & producing high quality, elegant code.
An understanding & interest in big data & data engineering
What you’ll need
The following would be desirable in this role:
Experience building and optimizing data ingestion and processing pipelines
Relational Database\SQL experience or NoSQL Database experience.
Experience in Big Data tools - Spark, Hadoop, Data Bricks
Public Cloud experience - Azure, AWS, Google Cloud etc..
We would like to see
- A real interest in technology such as Cloud computing, Data lake, Machine Learning.
- A flexible approach, business & technical needs change & evolve you need to flex with these changes.
- A collaborative nature, working closely & sharing ideas with Data Science teams, BI teams & Project Management.
Rewards
As you’d expect from a global leader, our reward package is a world-beater here’s a small selection of our current benefits.
Bonus Scheme linked to yours and the company’s performance.
Pension scheme with employer contributions as well as your own.
Life assurance 10x reference salary (4x if not in the Pension Scheme)
25 days holiday, increasing to 28 days by your fifth year of service. Interest free season ticket loan scheme.
Access to MAX Benefits where you enjoy cashback and discounts on thousands of retails, holidays and purchases.
Flex benefits such as holiday purchase, dental care, bikes for work.
20% discount with EE.
50% off Pure Gym membership.
Discount on all AXA Insurance products, including car, home and travel insurance, breakdown cover & healthcare.
Investment in Professional Qualifications.
What is Raytheon’s Strategic Research Group (SRG)? Part of Raytheon UK’s Cyber and Intelligence (C&I) business, the Strategic Research Group (SRG) is a multi-disciplinary expert team focused on next-gen research in artificial intelligence, security research and cloud technology. SRG is not yet another software team building enterprise solutions. The group operate at the cutting edge of technology and research, applying world class research to customer-relevant challenges in order to create unique prototypes, genuine expertise and valuable hands-on skills. Established in Jan 2019, SRG was created to focus Raytheon’s efforts on next-generation technologies critical to create the future capabilities our customers demand. In the short time since the group was established, greats success - both technically and commercially - has been achieved. As a result of these successes, SRG is seeking to grow, allowing the group to tackle more challenges and deliver further successes. What makes SRG different? SRG is an expert group, made of a team of people with broad skills, expertise and experience. The team includes post-doctorate researchers, experienced data scientists and engineers with customer knowledge, security research and machine learning expertise. SRG’s culture sets it apart from many other teams. It is vital to how the group operates and to its success. SRG values creating and sharing tangible results over creating overly detailed plans and excessive PowerPoint presentations. The team deliver a mix of internally funded research and customer funded projects. SRG work on a ‘cloud first’ basis - AWS, Atlassian, GitHub, Slack are main productivity tools. SRG is collaborative, supportive and independent. Above all, every member of the group strives to delight and impress our stakeholders, taking great pride in their work. Data Science & Machine Learning Research Engineer Location - Gloucester Essential Behaviours & Attitude Delivery .
Hands-on experience designing, creating, building and operating complex software systems.
Strong experience with modern software engineering approaches and best practices.
Effective Communicator .
Able to tailor written and verbal communication to a wide range of audiences including technical authors, customers, conferences and public events.
Successful examples of conference speaking, customer engagement and managerial presentations.
Inquisitive self-starter .
Work with autonomy, able to build trusted relationships and rapidly establish a reputation for enthusiasm, delivery and reliability.
Supportive and collaborative .
Must be able to demonstrate clear examples of providing support to team members and colleagues
Track record of creating a collaborative working ethos within a team or organisation.
Resilient and driven .
Must be able to stay goal focused, regardless of blockers, obstacles or wider issues both in personal work and within the wider team.
Willingness to learn and work across boundaries .
Ability to work in new disciplines as a non-expert within expert teams is essential.
Willingness and energy to learn new topics, new concepts and new skills in order to facilitate collaboration and solve problems.
Core Technical Skills We expect:
Solid technical and research foundation, either academic or professional track record in technology, research and early-stage development.
Strong knowledge of core machine learning models, algorithms and techniques.
Good skills - or demonstrable ability to rapidly learn - standard data science toolset including Python, sckitlearn, Jupyter, Apache Spark and the wider Hadoop eco-system
Your professional achievements must demonstrate:
Track record rapidly creating early-stage prototypes under uncertainty
Proven ability to create software artefacts using modern software engineering best practices where appropriate
Broader Experience SRG welcomes individuals with a broad range of experiences, diverse careers and technical qualifications. Such diversity of thought is an asset, and as such, broad career experience is valuable:
Professional certification in AWS Machine Learning or Solutions Architecture, Cloudera Data Scientist or other technologies.
Specialist knowledge in automated reasoning, computer vision, natural language understanding, predictive analytics, behavioural analytics or any other applied machine learning domain
Experience creating and deploying production-grade machine learning workloads in a Hadoop eco-system (either on-prem or public cloud)
Experience working in the Defence and National Security domain, in particular direct experience working with UK Government customers.
Evidence of proactive self-development and self-directed learning in particular Kaggle participation
Research credentials, either academic or professional, to evidence ability to innovate and contribute new results to the scientific literature.
17/02/2020
Full time
What is Raytheon’s Strategic Research Group (SRG)? Part of Raytheon UK’s Cyber and Intelligence (C&I) business, the Strategic Research Group (SRG) is a multi-disciplinary expert team focused on next-gen research in artificial intelligence, security research and cloud technology. SRG is not yet another software team building enterprise solutions. The group operate at the cutting edge of technology and research, applying world class research to customer-relevant challenges in order to create unique prototypes, genuine expertise and valuable hands-on skills. Established in Jan 2019, SRG was created to focus Raytheon’s efforts on next-generation technologies critical to create the future capabilities our customers demand. In the short time since the group was established, greats success - both technically and commercially - has been achieved. As a result of these successes, SRG is seeking to grow, allowing the group to tackle more challenges and deliver further successes. What makes SRG different? SRG is an expert group, made of a team of people with broad skills, expertise and experience. The team includes post-doctorate researchers, experienced data scientists and engineers with customer knowledge, security research and machine learning expertise. SRG’s culture sets it apart from many other teams. It is vital to how the group operates and to its success. SRG values creating and sharing tangible results over creating overly detailed plans and excessive PowerPoint presentations. The team deliver a mix of internally funded research and customer funded projects. SRG work on a ‘cloud first’ basis - AWS, Atlassian, GitHub, Slack are main productivity tools. SRG is collaborative, supportive and independent. Above all, every member of the group strives to delight and impress our stakeholders, taking great pride in their work. Data Science & Machine Learning Research Engineer Location - Gloucester Essential Behaviours & Attitude Delivery .
Hands-on experience designing, creating, building and operating complex software systems.
Strong experience with modern software engineering approaches and best practices.
Effective Communicator .
Able to tailor written and verbal communication to a wide range of audiences including technical authors, customers, conferences and public events.
Successful examples of conference speaking, customer engagement and managerial presentations.
Inquisitive self-starter .
Work with autonomy, able to build trusted relationships and rapidly establish a reputation for enthusiasm, delivery and reliability.
Supportive and collaborative .
Must be able to demonstrate clear examples of providing support to team members and colleagues
Track record of creating a collaborative working ethos within a team or organisation.
Resilient and driven .
Must be able to stay goal focused, regardless of blockers, obstacles or wider issues both in personal work and within the wider team.
Willingness to learn and work across boundaries .
Ability to work in new disciplines as a non-expert within expert teams is essential.
Willingness and energy to learn new topics, new concepts and new skills in order to facilitate collaboration and solve problems.
Core Technical Skills We expect:
Solid technical and research foundation, either academic or professional track record in technology, research and early-stage development.
Strong knowledge of core machine learning models, algorithms and techniques.
Good skills - or demonstrable ability to rapidly learn - standard data science toolset including Python, sckitlearn, Jupyter, Apache Spark and the wider Hadoop eco-system
Your professional achievements must demonstrate:
Track record rapidly creating early-stage prototypes under uncertainty
Proven ability to create software artefacts using modern software engineering best practices where appropriate
Broader Experience SRG welcomes individuals with a broad range of experiences, diverse careers and technical qualifications. Such diversity of thought is an asset, and as such, broad career experience is valuable:
Professional certification in AWS Machine Learning or Solutions Architecture, Cloudera Data Scientist or other technologies.
Specialist knowledge in automated reasoning, computer vision, natural language understanding, predictive analytics, behavioural analytics or any other applied machine learning domain
Experience creating and deploying production-grade machine learning workloads in a Hadoop eco-system (either on-prem or public cloud)
Experience working in the Defence and National Security domain, in particular direct experience working with UK Government customers.
Evidence of proactive self-development and self-directed learning in particular Kaggle participation
Research credentials, either academic or professional, to evidence ability to innovate and contribute new results to the scientific literature.
Are you currently studying for your PHD and looking for Research work or having finished your study looking for a career in AI, that will not only enhance your Artificial Intelligence and Machine learning knowledge but will exceed your PHD funding and give you a share in the companies success and future with Stock options.
We are looking for candidates to serve as Graduate Research Scientists 40 hours work weekly which can be flexible around any other education initiative, a post doc / PhD or Full time work.
Client information;
McKinsey consultants founded AI lab:
Based out of London but can be based anywhere in the UK
Office at London Business School, Baker street and Mayfair.
Two strong client relationships (in UK and Internationally) plus several consulting partnerships with ex McKinsey partners and industry leaders
Primary theme:
Applies interdisciplinary algorithmic research to help organisations outperform traditional businesses across industries.
Our core focus is on developing and optimising a continually expanding portfolio of packaged algorithmic tools that help our Clients capture breakthrough impact
Principal Activity :
Scale-up, optimise (for efficiency) and own 'product development' of lab's machine learning algorithms, e.g. - tools for a slice of a generic Machine Learning / AI pathway or creation of a theme-specific custom machine learning pathway. Building of high re-usability into such products.
Scale up and Productionize delivery of machine learning POCs for clients
Create tools to simplify, enhance & accelerate a data scientist's work
Additional Activities
Owning, planning carrying out research on AI 'product development'
Review of AI literature, algorithm's implementation testing & refinement
Typical profile :
PhD in Computer Science, Computational/Applied Math
Undergrad/Masters in a quantitative discipline e.g. applied mathematics, physics, electrical engineering, computer science
Must have a passion for learning - new computational languages, new mathematical approaches, etc.
Key Proposition
An acceleration of career with a consciously steep learning curve. In return you will receive a salary plus employee stock options with potential to earn 6 figures.
Parkside Recruitment Ltd is acting as an Employment Agency in relation to this vacancy. Parkside Recruitment is an Equal Opportunities Employer.
17/02/2020
Full time
Are you currently studying for your PHD and looking for Research work or having finished your study looking for a career in AI, that will not only enhance your Artificial Intelligence and Machine learning knowledge but will exceed your PHD funding and give you a share in the companies success and future with Stock options.
We are looking for candidates to serve as Graduate Research Scientists 40 hours work weekly which can be flexible around any other education initiative, a post doc / PhD or Full time work.
Client information;
McKinsey consultants founded AI lab:
Based out of London but can be based anywhere in the UK
Office at London Business School, Baker street and Mayfair.
Two strong client relationships (in UK and Internationally) plus several consulting partnerships with ex McKinsey partners and industry leaders
Primary theme:
Applies interdisciplinary algorithmic research to help organisations outperform traditional businesses across industries.
Our core focus is on developing and optimising a continually expanding portfolio of packaged algorithmic tools that help our Clients capture breakthrough impact
Principal Activity :
Scale-up, optimise (for efficiency) and own 'product development' of lab's machine learning algorithms, e.g. - tools for a slice of a generic Machine Learning / AI pathway or creation of a theme-specific custom machine learning pathway. Building of high re-usability into such products.
Scale up and Productionize delivery of machine learning POCs for clients
Create tools to simplify, enhance & accelerate a data scientist's work
Additional Activities
Owning, planning carrying out research on AI 'product development'
Review of AI literature, algorithm's implementation testing & refinement
Typical profile :
PhD in Computer Science, Computational/Applied Math
Undergrad/Masters in a quantitative discipline e.g. applied mathematics, physics, electrical engineering, computer science
Must have a passion for learning - new computational languages, new mathematical approaches, etc.
Key Proposition
An acceleration of career with a consciously steep learning curve. In return you will receive a salary plus employee stock options with potential to earn 6 figures.
Parkside Recruitment Ltd is acting as an Employment Agency in relation to this vacancy. Parkside Recruitment is an Equal Opportunities Employer.
Company Description
We are disrupting the Artificial Intelligence & Engineering talent industry with our groundbreaking solutions and business ideas. At AI-Adam we focus on Intelligent and efficient sourcing by using Predictive Analytics to Improve Sourcing and help you secure the best talent in the industry.
Job Description
We are hiring for a Machine Learning Solutions Engineer in London for one of our leading AI startups. You will work on the core tooling for customers, design and build scalable ML solutions on top of open source and enterprise products. As the Machine Learning Solutions Engineer you will deliver end-to-end technical expertise throughout the lifecycle of enterprise client-facing projects
Qualifications
Strong computer science and system architecture foundations.
Familiarity with linux based development.
Experience architecting/applying technology to solve real world challenges.
Experience delivering production-level client-facing projects.
17/02/2020
Full time
Company Description
We are disrupting the Artificial Intelligence & Engineering talent industry with our groundbreaking solutions and business ideas. At AI-Adam we focus on Intelligent and efficient sourcing by using Predictive Analytics to Improve Sourcing and help you secure the best talent in the industry.
Job Description
We are hiring for a Machine Learning Solutions Engineer in London for one of our leading AI startups. You will work on the core tooling for customers, design and build scalable ML solutions on top of open source and enterprise products. As the Machine Learning Solutions Engineer you will deliver end-to-end technical expertise throughout the lifecycle of enterprise client-facing projects
Qualifications
Strong computer science and system architecture foundations.
Familiarity with linux based development.
Experience architecting/applying technology to solve real world challenges.
Experience delivering production-level client-facing projects.
The Machine Learning team is responsible for delivering tangibly intelligent devices across all current, and future, product categories at Dyson.
Accountabilities
Working alongside researchers, engineers, and designers, we blend cutting-edge machine learning and artificial intelligence techniques with an in-depth understanding of user behaviours. We utilise anonymised data from our connected devices and build prototype rigs to conduct rigorous qualitative and quantitative experiments and trials, inventing novel solutions to 'impossible' problems.
Skills
You will play a pivotal role in a rapidly growing team, developing intelligent features for our existing product categories, or enabling core functionality in products that most can’t even imagine. As a result of continued investment and capability growth, we are looking recruit the following positions within our Machine Learning teams : - Associate Principal Machine Learning Engineer - Senior Machine Learning Engineer - Machine Learning Data Engineer - Senior Computational Biologists - Senior Bio-imaging Scientist If interested, please submit your CV along with a supporting covering letter.
Benefits
27 days holiday plus eight statutory bank holidays Pension scheme Performance related bonus Life assurance Sport centre Free on-site parking Subsidized café and restaurants Discounts on Dyson machines
11/02/2020
Full time
The Machine Learning team is responsible for delivering tangibly intelligent devices across all current, and future, product categories at Dyson.
Accountabilities
Working alongside researchers, engineers, and designers, we blend cutting-edge machine learning and artificial intelligence techniques with an in-depth understanding of user behaviours. We utilise anonymised data from our connected devices and build prototype rigs to conduct rigorous qualitative and quantitative experiments and trials, inventing novel solutions to 'impossible' problems.
Skills
You will play a pivotal role in a rapidly growing team, developing intelligent features for our existing product categories, or enabling core functionality in products that most can’t even imagine. As a result of continued investment and capability growth, we are looking recruit the following positions within our Machine Learning teams : - Associate Principal Machine Learning Engineer - Senior Machine Learning Engineer - Machine Learning Data Engineer - Senior Computational Biologists - Senior Bio-imaging Scientist If interested, please submit your CV along with a supporting covering letter.
Benefits
27 days holiday plus eight statutory bank holidays Pension scheme Performance related bonus Life assurance Sport centre Free on-site parking Subsidized café and restaurants Discounts on Dyson machines
At Klydo, we’re creating a world where everyone has the confidence to innovate .
We are already giving companies the confidence to innovate for their customers by helping them create new products and services that solve meaningful problems. Next, we’ll help them innovate for themselves, enabling them to construct bold new business models, organisational designs and ways of working. One day, Klydo will give someone the confidence to create an entirely new business from scratch.
It’s an audacious, incredibly rewarding mission that only recently, with the advent of new developments in artificial intelligence, we’ve dared to imagine. To achieve it, we’re merging the fields of creativity and AI to build the world’s first creative AI for innovation - AI that gives everyone the confidence to create unimagined solutions to the problems that matter most.
Helping us on our journey, we've got the backing of top VC investors, including those behind Shazam, Zoopla and LoveFilm to name just a few. We've also signed up leading consumer brand partnerships and we'll be growing the team fourfold over the next year.
Exciting challenges lie ahead — rapid growth, technological breakthroughs, and paradigm shifts in innovation. Guided by our four core values, we’ll meet these challenges with the support and dedication of the incredibly diverse team that we’re building.
Why is this role important for Klydo's success?
We use a range of state-of-the-art semi-supervised and unsupervised ML algorithms to cluster text data into semantic themes. This is fundamental to our product and as such, we’re looking for an ML Research Engineer who will help us advance our existing ML technology even further through researching and developing completely novel methods and techniques.
You’ll be taking on a key role in our engineering team, owning the core ML processes in our data pipeline and collaborating with the whole team to develop more effective and creative ways of using them. Some of the technologies you will be working with include Python, Flask, Docker, Tensorflow and of course, many more.
It's an exciting opportunity for you if you want to work at the cutting edge of ML research and apply it to real-world use cases. You'll see your work directly contributing to the rapid growth of our company and you'll directly see the impact your work has for our users.
If you want to work at the cutting edge of ML research and apply it to real-world use cases, this should excite you. This is a unique chance to truly see the impact your work has on our user's ability to generate more innovative ideas.
You will be responsible for:
Keeping abreast with recent NLP and ML developments
Uncovering hidden structure within a large corpus of text, drawing upon unsupervised learning techniques such as hierarchical clustering and document embeddings
Designing and implementing user feedback loops to improve ML models
Working with the rest of the team to integrate the models in production
Architecting and implementing the ML pipelines and infrastructure
Informing, iterating and challenging our ML strategy
Requirements
Ability to learn quickly and enjoy the fluidity of a dynamic startup environment
Strong background in unsupervised machine learning and/or statistics and at least some experience of natural language processing
Ability to build and deploy NLP/ML systems in production at scale
In-depth knowledge of Python
Passion for sharing what you've learnt and confidence to ask others for help
Never-ending curiosity for finding solutions to hard problems
Benefits
Make your mark
Join the founding team of the most creative AI company around
Immediately see the tangible impact of your work as one of our first ten hires
Own the design vision for our products and see your work in use with real-world clients
Be in control
We trust you from the start, giving you the autonomy to shape the work you do
Enjoy our flexible working hours and feel free to work from home when you need
11/02/2020
Full time
At Klydo, we’re creating a world where everyone has the confidence to innovate .
We are already giving companies the confidence to innovate for their customers by helping them create new products and services that solve meaningful problems. Next, we’ll help them innovate for themselves, enabling them to construct bold new business models, organisational designs and ways of working. One day, Klydo will give someone the confidence to create an entirely new business from scratch.
It’s an audacious, incredibly rewarding mission that only recently, with the advent of new developments in artificial intelligence, we’ve dared to imagine. To achieve it, we’re merging the fields of creativity and AI to build the world’s first creative AI for innovation - AI that gives everyone the confidence to create unimagined solutions to the problems that matter most.
Helping us on our journey, we've got the backing of top VC investors, including those behind Shazam, Zoopla and LoveFilm to name just a few. We've also signed up leading consumer brand partnerships and we'll be growing the team fourfold over the next year.
Exciting challenges lie ahead — rapid growth, technological breakthroughs, and paradigm shifts in innovation. Guided by our four core values, we’ll meet these challenges with the support and dedication of the incredibly diverse team that we’re building.
Why is this role important for Klydo's success?
We use a range of state-of-the-art semi-supervised and unsupervised ML algorithms to cluster text data into semantic themes. This is fundamental to our product and as such, we’re looking for an ML Research Engineer who will help us advance our existing ML technology even further through researching and developing completely novel methods and techniques.
You’ll be taking on a key role in our engineering team, owning the core ML processes in our data pipeline and collaborating with the whole team to develop more effective and creative ways of using them. Some of the technologies you will be working with include Python, Flask, Docker, Tensorflow and of course, many more.
It's an exciting opportunity for you if you want to work at the cutting edge of ML research and apply it to real-world use cases. You'll see your work directly contributing to the rapid growth of our company and you'll directly see the impact your work has for our users.
If you want to work at the cutting edge of ML research and apply it to real-world use cases, this should excite you. This is a unique chance to truly see the impact your work has on our user's ability to generate more innovative ideas.
You will be responsible for:
Keeping abreast with recent NLP and ML developments
Uncovering hidden structure within a large corpus of text, drawing upon unsupervised learning techniques such as hierarchical clustering and document embeddings
Designing and implementing user feedback loops to improve ML models
Working with the rest of the team to integrate the models in production
Architecting and implementing the ML pipelines and infrastructure
Informing, iterating and challenging our ML strategy
Requirements
Ability to learn quickly and enjoy the fluidity of a dynamic startup environment
Strong background in unsupervised machine learning and/or statistics and at least some experience of natural language processing
Ability to build and deploy NLP/ML systems in production at scale
In-depth knowledge of Python
Passion for sharing what you've learnt and confidence to ask others for help
Never-ending curiosity for finding solutions to hard problems
Benefits
Make your mark
Join the founding team of the most creative AI company around
Immediately see the tangible impact of your work as one of our first ten hires
Own the design vision for our products and see your work in use with real-world clients
Be in control
We trust you from the start, giving you the autonomy to shape the work you do
Enjoy our flexible working hours and feel free to work from home when you need
We are looking for an experienced Machine Learning Developer to join our fantastic team as we build the next generation of health and wellness technology.
You will develop Machine Learning pipelines from data capture (video, audio, digital signals) through signal processing, analysis and a variety of statistical models. These will be integrated with our unique new hardware, highly scalable online services and mobile apps.
You will be part of an exciting team responsible for developing our cloud-based analytics platform, as well as rapid prototypes and proofs of concept.
If you…
are excited to work in an innovative startup culture.
enjoy working with a multidisciplinary team and sharing knowledge with your colleagues.
can work independently to move projects forward.
are a self-starter capable of planning and implementing tools that deliver robust insights, and interested in expanding your skills further.
Get in touch!
This role is a permanent full-time role based in Cambridge, UK.
Responsibilities :
Developing and validating Machine Learning models in Python and packages such as tensorflow and keras
Feature extraction, correlation and pre-processing from a range of data sources (scipy and open-cv)
Integrating with cloud APIs and data services
Devising techniques for data capture and analysis
Building rapid prototypes and proofs of concept
Taking part in Agile and Continuous Improvement processes
Contributing to the culture of our inclusive and enthusiastic team.
ElectronRX is a well funded Startup with a portfolio of innovative new products that are reaching early stage adoption.
07/02/2020
Full time
We are looking for an experienced Machine Learning Developer to join our fantastic team as we build the next generation of health and wellness technology.
You will develop Machine Learning pipelines from data capture (video, audio, digital signals) through signal processing, analysis and a variety of statistical models. These will be integrated with our unique new hardware, highly scalable online services and mobile apps.
You will be part of an exciting team responsible for developing our cloud-based analytics platform, as well as rapid prototypes and proofs of concept.
If you…
are excited to work in an innovative startup culture.
enjoy working with a multidisciplinary team and sharing knowledge with your colleagues.
can work independently to move projects forward.
are a self-starter capable of planning and implementing tools that deliver robust insights, and interested in expanding your skills further.
Get in touch!
This role is a permanent full-time role based in Cambridge, UK.
Responsibilities :
Developing and validating Machine Learning models in Python and packages such as tensorflow and keras
Feature extraction, correlation and pre-processing from a range of data sources (scipy and open-cv)
Integrating with cloud APIs and data services
Devising techniques for data capture and analysis
Building rapid prototypes and proofs of concept
Taking part in Agile and Continuous Improvement processes
Contributing to the culture of our inclusive and enthusiastic team.
ElectronRX is a well funded Startup with a portfolio of innovative new products that are reaching early stage adoption.
Based at their Cambridge office and working with renowned academic experts and their own world-class scientific team, the Applied Machine Learning Research Scientist will build models based on convolutional neural networks for computer vision. These technologies will provide key understandings that underpin human behaviour within real-time situations.
Requirements:
Demonstrable project experience (commercial or PhD / postdoc) of using machine learning for unsupervised learning techniques (ideally convolutional neural networks and computer vision).
Experience using one or more of the following machine learning tools (Theano, Caffe, Tensorflow, or Torch).
Applied experience in software development using C, C++, Python, Scala, or Java.
1st or 2.1 degree in maths, computer science or similar from a top ranked university.
Experience with complex Open Source development projects would be beneficial.
This is an excellent opportunity to join this venture capital backed company as they look to grow. On offer, as well as interesting work, there is an excellent remunerations package including a wide range of benefits.
Keywords: Machine Learning, Unsupervised, Models, Decision-Making / Behaviour, Python, C++, C, Java, Scala, Maths, Tensorflow, Torch, Theano, Caffe, Computer Vision
Recommend for £250 -
Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest - we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company.
07/02/2020
Full time
Based at their Cambridge office and working with renowned academic experts and their own world-class scientific team, the Applied Machine Learning Research Scientist will build models based on convolutional neural networks for computer vision. These technologies will provide key understandings that underpin human behaviour within real-time situations.
Requirements:
Demonstrable project experience (commercial or PhD / postdoc) of using machine learning for unsupervised learning techniques (ideally convolutional neural networks and computer vision).
Experience using one or more of the following machine learning tools (Theano, Caffe, Tensorflow, or Torch).
Applied experience in software development using C, C++, Python, Scala, or Java.
1st or 2.1 degree in maths, computer science or similar from a top ranked university.
Experience with complex Open Source development projects would be beneficial.
This is an excellent opportunity to join this venture capital backed company as they look to grow. On offer, as well as interesting work, there is an excellent remunerations package including a wide range of benefits.
Keywords: Machine Learning, Unsupervised, Models, Decision-Making / Behaviour, Python, C++, C, Java, Scala, Maths, Tensorflow, Torch, Theano, Caffe, Computer Vision
Recommend for £250 -
Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest - we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company.
As part of Parexel Consulting, you will create and maximize value for clients throughout the product lifecycle. You will be a strategic guide in getting products to market faster, smarter – and keeping them there –your scientific, technical, regulatory, and/or commercial expertise will put best practice standards to work for biopharmaceutical and medical device companies large and small.
In return, you will be provided with interesting opportunities for growth and development and exposed to a variety of challenging assignments, product types, geographic regions, and therapeutic areas. Plus, as member of Parexel Consulting, you will enjoy all the advantages of working remotely, combined with access to the mentorship from a team of highly experienced regulatory professionals at the height of their careers. Join our team, and you will design solutions for the complexities of an ever-changing global marketplace.
Full Time
Level: Mid
Travel: Yes
Success Profile
Check out the top traits we're looking for and see if you have the right mix.
Detail-Oriented
Proactive
Problem-Solver
Results-Driven
Organized
Multi-Tasker
Rewards
Global Impact
We are one truly global team working together to propel each client´s journey ahead faster.
Balance
We value work-life balance. We try and keep regular hours and an emphasis on life outside the office.
Collaboration
Work with industry leaders and subject matter experts.
Freedom
The ability to innovate, ask “what if” and try new solutions without fear of failure.
Variety
Opportunities to work on multiple accounts – never boring!
Management
Strong management with depth of experience working for global health authorities.
Reporting to: Senior Director/VP To perform this job successfully, an individual must have a Master's or Doctoral Degree in Statistics, Biostatics, Mathematics, Data Science or other quantitative fields. An ideal candidate must have at least six or more years of experience with machine learning and with using statistical analytical software/tools like R, Stata, WINBUGS, Python and SAS. Knowledge of Bayesian statistics and Markov networks will be a plus. Other considerations include:
Understanding of machine learning methods and their value specifically in conducting research in health economics, as well as patient- and system-level outcomes research.
Understanding of the healthcare industry problems for which machine learning methods are appropriate, recognizing both their strengths and limitations.
Familiarity with some of the machine learning use cases in HEOR including the prediction of risk of various health care events; the causal estimation of treatment effects; developing models for economic evaluation; and model/data transparency.
Experience in developing both internal and external consultative relationships with senior management and executives.
Willingness to work under pressure to meet multiple and sometimes competing deadlines.
Excellent scientific, business writing, and communication presentation skills with close attention to detail.
Exceptional communication skills, especially in the relaying of technical information and project concepts.
Position Overview Data Analytics/Machine Learning Consultant is responsible for ensuring that all assigned projects are being conducted in an efficient manner and that quality and client satisfaction is maximized at all times - ensuring the direction of the project and the quality of the deliverables meet the project objectives and the client needs. Further, Consultants are expected to support and train the Senior associates and Associates in their daily duties and to flag any areas of acute training needs to their line managers. Supported by the senior staff and Business Development partners, the Consultant is responsible for maintaining client relationships on their projects as well. In addition, the individual will be expected to contribute to the continuing growth and improvement of the business unit through taking ownership of company and business unit processes and initiatives as well as contribution to the Senior Management Team's focus and direction. Candidates will be part of multi-disciplinary research teams and will be expected to provide machine learning expertise and methodological leadership at all stages of projects from planning to completion. Duties will vary according to the nature of the projects. These may include independently contributing to the preparation of statistical analysis plans, writing programs to execute analyses, and assisting with the interpretation and dissemination of findings. Candidate is expected to also lead and support ongoing innovation objectives of the unit in the field of health outcomes analysis which warrants having thought leadership skills. Objectives of the role will include:
To direct project teams in the design, development and delivery of client solutions across multiple projects.
To provide high level input to the development of client deliverables including the provision of support to the delivery team in the development of strategic recommendations tailored to individual projects.
To provide advice and support to existing clients both within and outside of projects.
To help manage existing business accounts and identify new business opportunities for Parexel with existing and new clients.
To proactively mentor and develop members of the team to help achieve best in class status.
To ensure the optimal levels of client management are maintained at all levels and that the training and support to achieve best practice consultancy standards are achieved.
Qualifications
Qualifications
Strong basis in fundamental machine learning concepts/methods and predictive analytics and familiarity with applications in health economics and outcomes research.
Familiarity with Bayesian statistics is a plus.
Strong statistical programming skills with standard software, including SAS, R, STATA, Python, Hadoop, OpenBUGS/WinBUGS.
Strong communication (spoken and written) and problem-solving skills, and an ability to learn quickly.
Ability to communicate effectively, in non-technical terms, with project team members.
Ability to work well in a team as well as independently, and be able to take a leadership role with regard to methodological elements in projects.
Education and Experience
MSc or PhD in Applied Mathematics, Computer Science, Biostatistics, Statistics, or related quantitative field with 6 or more years of relevant experience
Language Skills
Competent in written and spoken English
Computer Skills
SAS (Base, Stat, Graph, Macro), R, Python, SPSS, STATA, and WinBUGS
07/02/2020
Full time
As part of Parexel Consulting, you will create and maximize value for clients throughout the product lifecycle. You will be a strategic guide in getting products to market faster, smarter – and keeping them there –your scientific, technical, regulatory, and/or commercial expertise will put best practice standards to work for biopharmaceutical and medical device companies large and small.
In return, you will be provided with interesting opportunities for growth and development and exposed to a variety of challenging assignments, product types, geographic regions, and therapeutic areas. Plus, as member of Parexel Consulting, you will enjoy all the advantages of working remotely, combined with access to the mentorship from a team of highly experienced regulatory professionals at the height of their careers. Join our team, and you will design solutions for the complexities of an ever-changing global marketplace.
Full Time
Level: Mid
Travel: Yes
Success Profile
Check out the top traits we're looking for and see if you have the right mix.
Detail-Oriented
Proactive
Problem-Solver
Results-Driven
Organized
Multi-Tasker
Rewards
Global Impact
We are one truly global team working together to propel each client´s journey ahead faster.
Balance
We value work-life balance. We try and keep regular hours and an emphasis on life outside the office.
Collaboration
Work with industry leaders and subject matter experts.
Freedom
The ability to innovate, ask “what if” and try new solutions without fear of failure.
Variety
Opportunities to work on multiple accounts – never boring!
Management
Strong management with depth of experience working for global health authorities.
Reporting to: Senior Director/VP To perform this job successfully, an individual must have a Master's or Doctoral Degree in Statistics, Biostatics, Mathematics, Data Science or other quantitative fields. An ideal candidate must have at least six or more years of experience with machine learning and with using statistical analytical software/tools like R, Stata, WINBUGS, Python and SAS. Knowledge of Bayesian statistics and Markov networks will be a plus. Other considerations include:
Understanding of machine learning methods and their value specifically in conducting research in health economics, as well as patient- and system-level outcomes research.
Understanding of the healthcare industry problems for which machine learning methods are appropriate, recognizing both their strengths and limitations.
Familiarity with some of the machine learning use cases in HEOR including the prediction of risk of various health care events; the causal estimation of treatment effects; developing models for economic evaluation; and model/data transparency.
Experience in developing both internal and external consultative relationships with senior management and executives.
Willingness to work under pressure to meet multiple and sometimes competing deadlines.
Excellent scientific, business writing, and communication presentation skills with close attention to detail.
Exceptional communication skills, especially in the relaying of technical information and project concepts.
Position Overview Data Analytics/Machine Learning Consultant is responsible for ensuring that all assigned projects are being conducted in an efficient manner and that quality and client satisfaction is maximized at all times - ensuring the direction of the project and the quality of the deliverables meet the project objectives and the client needs. Further, Consultants are expected to support and train the Senior associates and Associates in their daily duties and to flag any areas of acute training needs to their line managers. Supported by the senior staff and Business Development partners, the Consultant is responsible for maintaining client relationships on their projects as well. In addition, the individual will be expected to contribute to the continuing growth and improvement of the business unit through taking ownership of company and business unit processes and initiatives as well as contribution to the Senior Management Team's focus and direction. Candidates will be part of multi-disciplinary research teams and will be expected to provide machine learning expertise and methodological leadership at all stages of projects from planning to completion. Duties will vary according to the nature of the projects. These may include independently contributing to the preparation of statistical analysis plans, writing programs to execute analyses, and assisting with the interpretation and dissemination of findings. Candidate is expected to also lead and support ongoing innovation objectives of the unit in the field of health outcomes analysis which warrants having thought leadership skills. Objectives of the role will include:
To direct project teams in the design, development and delivery of client solutions across multiple projects.
To provide high level input to the development of client deliverables including the provision of support to the delivery team in the development of strategic recommendations tailored to individual projects.
To provide advice and support to existing clients both within and outside of projects.
To help manage existing business accounts and identify new business opportunities for Parexel with existing and new clients.
To proactively mentor and develop members of the team to help achieve best in class status.
To ensure the optimal levels of client management are maintained at all levels and that the training and support to achieve best practice consultancy standards are achieved.
Qualifications
Qualifications
Strong basis in fundamental machine learning concepts/methods and predictive analytics and familiarity with applications in health economics and outcomes research.
Familiarity with Bayesian statistics is a plus.
Strong statistical programming skills with standard software, including SAS, R, STATA, Python, Hadoop, OpenBUGS/WinBUGS.
Strong communication (spoken and written) and problem-solving skills, and an ability to learn quickly.
Ability to communicate effectively, in non-technical terms, with project team members.
Ability to work well in a team as well as independently, and be able to take a leadership role with regard to methodological elements in projects.
Education and Experience
MSc or PhD in Applied Mathematics, Computer Science, Biostatistics, Statistics, or related quantitative field with 6 or more years of relevant experience
Language Skills
Competent in written and spoken English
Computer Skills
SAS (Base, Stat, Graph, Macro), R, Python, SPSS, STATA, and WinBUGS
A Technology Disrupter
A consultancy with the best team in the areas of Big Data, Quantitative Research, High-Performance Computing, Machine Learning and Risk Modelling.
Qualifications and Skills
Deep and passionate knowledge of software engineering principles, practices
Proven knowledge of object-oriented programming e.g. Scala, Java, C++ etc.
Knowledge of at least one scripting language e.g. Python, Perl, R etc.
Deep knowledge of testing frameworks and libraries.
Knowledge of specific deep learning libraries for Python (Theano, Tensorflow, etc.)
Good knowledge of database management languages e.g. SQL, PostgreSQL
Knowledge of statistics, machine learning and data analytics techniques
Knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce is desirable but not essential
Commercial application of data science work is desired but not essential
The Role
Right now, you’re a very strong software engineer with a deep interest in Analytics and Data Science. You know how to engineer the beautiful code and want to work on varied data science projects across multiple industries. You’re exceptionally talented, and looking to work in a highly collaborative and cross-functional team consisting of Data Scientists, Data Architects, and Engineers. You are someone who is looking to constantly develop your skills and adapt to new languages, trends, and frameworks.
In this role, you will:
Work closely with Data Engineers and Data Scientists to create analytical variables, metrics, and models
Work closely with data scientists to solve difficult engineering and machine learning problems and produce high-quality code
Choose and use the right analytical libraries, programming languages, and frameworks for each task
Develop your abilities and understanding of data science methodologies and approaches
Contribute to best coding and engineering practice across DataSpartan and our projects
Refactor code into reusable libraries, APIs, and tools
DataSpartan Consultancy is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.If you need assistance or an accommodation due to a disability, you may contact us at eddie@dataspartan.com or you may call us at +44 (0) 77 6919 4840
05/02/2020
Full time
A Technology Disrupter
A consultancy with the best team in the areas of Big Data, Quantitative Research, High-Performance Computing, Machine Learning and Risk Modelling.
Qualifications and Skills
Deep and passionate knowledge of software engineering principles, practices
Proven knowledge of object-oriented programming e.g. Scala, Java, C++ etc.
Knowledge of at least one scripting language e.g. Python, Perl, R etc.
Deep knowledge of testing frameworks and libraries.
Knowledge of specific deep learning libraries for Python (Theano, Tensorflow, etc.)
Good knowledge of database management languages e.g. SQL, PostgreSQL
Knowledge of statistics, machine learning and data analytics techniques
Knowledge of Big Data technologies, such as Spark, Hadoop/MapReduce is desirable but not essential
Commercial application of data science work is desired but not essential
The Role
Right now, you’re a very strong software engineer with a deep interest in Analytics and Data Science. You know how to engineer the beautiful code and want to work on varied data science projects across multiple industries. You’re exceptionally talented, and looking to work in a highly collaborative and cross-functional team consisting of Data Scientists, Data Architects, and Engineers. You are someone who is looking to constantly develop your skills and adapt to new languages, trends, and frameworks.
In this role, you will:
Work closely with Data Engineers and Data Scientists to create analytical variables, metrics, and models
Work closely with data scientists to solve difficult engineering and machine learning problems and produce high-quality code
Choose and use the right analytical libraries, programming languages, and frameworks for each task
Develop your abilities and understanding of data science methodologies and approaches
Contribute to best coding and engineering practice across DataSpartan and our projects
Refactor code into reusable libraries, APIs, and tools
DataSpartan Consultancy is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information.If you need assistance or an accommodation due to a disability, you may contact us at eddie@dataspartan.com or you may call us at +44 (0) 77 6919 4840
This company, a successful and very profitable Cambridge start-up, develops novel Machine Learning / AI technologies for use in market analysis and trading applications in the UK. They are seeking bright, experienced developers to join their elite team in central Cambridge. You will be working on development, implementation and maintenance of modern, cutting-edge algorithms and technologies in ML / AI spheres and learning best development practice in a modern dev environment.
Prospective candidate applications must be able to demonstrate:
a strong academic background (2.1 Honours or better) in computer science or a related subject from a top-ranking university;
commercial experience developing with modern object-oriented languages – this might include C++, C#, Java or Python;
a clear interest / exposure to Machine Learning tools and technologies;
familiarity with modern dev practices, incl. TDD, CD, CI (Git) and Agile;
existing right to work in the UK without limitations or requirement for visa sponsorship.
On offer for the successful candidates will be the opportunity to work in an exciting and dynamic company that is at the forefront of applied machine learning technologies. You will receive tailored mentoring and training to quickly be at home with the approaches used, and learn best coding and dev practices from a proven and successful developer team.
If this sounds like the right challenge for you, why not send your CV now to ECM Selection to find out more. Whilst we can only put forward the top few candidates, we do read every CV and try to respond to everyone. Or recommend a friend for £250, details at http://ecmselection.co.uk/tell-a-friend.
Keywords: machine learning, AI, Cambridge, Python, OO, object oriented, finance
Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest - we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company.
05/02/2020
Full time
This company, a successful and very profitable Cambridge start-up, develops novel Machine Learning / AI technologies for use in market analysis and trading applications in the UK. They are seeking bright, experienced developers to join their elite team in central Cambridge. You will be working on development, implementation and maintenance of modern, cutting-edge algorithms and technologies in ML / AI spheres and learning best development practice in a modern dev environment.
Prospective candidate applications must be able to demonstrate:
a strong academic background (2.1 Honours or better) in computer science or a related subject from a top-ranking university;
commercial experience developing with modern object-oriented languages – this might include C++, C#, Java or Python;
a clear interest / exposure to Machine Learning tools and technologies;
familiarity with modern dev practices, incl. TDD, CD, CI (Git) and Agile;
existing right to work in the UK without limitations or requirement for visa sponsorship.
On offer for the successful candidates will be the opportunity to work in an exciting and dynamic company that is at the forefront of applied machine learning technologies. You will receive tailored mentoring and training to quickly be at home with the approaches used, and learn best coding and dev practices from a proven and successful developer team.
If this sounds like the right challenge for you, why not send your CV now to ECM Selection to find out more. Whilst we can only put forward the top few candidates, we do read every CV and try to respond to everyone. Or recommend a friend for £250, details at http://ecmselection.co.uk/tell-a-friend.
Keywords: machine learning, AI, Cambridge, Python, OO, object oriented, finance
Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest - we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company.
Location
Birmingham, West Midlands
Sector:
Technology
Job type:
Permanent
Salary:
£40000 - £65000 per annum + Excellent benefits
Contact:
Liam Evans
Contact email:
liame@eligo.co.uk
Job ref:
DSC8292-HS_1580812752
Published:
about 19 hours ago
Expiry date:
2020-03-05
Startdate:
ASAP
Consultant:
Liam Evans
Data Scientist
Rapidly growing start-up based in Central Birmingham, who are at the forefront of utilising Artificial Intelligence to improve ecommerce and help retails better connect with customise online are hiring for additional Machine Learning Engineer/Data Scientists to join team.
With a swift interview process now is the time to apply.
Key Skills -
Proven experience delivering cutting edge analytics in a commercial environment utilising best in class Artificial Intelligence, Machine Learning and Deep Learning techniques
Research background; MSc or PhD in quantitative fields like Mathematics, Statistics, Economics, Computing, Engineering, Biology, Chemistry
Knowledge of and practical experience with Python for data analysis (Pandas, statsmodels, NumPy, scikit-learn, Jupyter notebooks, NLTK)
Experience with frameworks such as Tensorflow/Keras
Strong working knowledge of machine learning models, data mining techniques and inference algorithms such as decision trees, association rules, clustering, classification, regression, topic models, stochastic sampling and collaborative filtering
Experience conducting data analysis on big data (e.g. TB+ scale datasets)
Data visualization, manipulation and extraction skills
Ability to clearly communicate complex research findings to both technical and non-technical team members
Awareness of wider business domain and opportunities
Desirable Skills (full training provided) -
Experience with Google Cloud Platform - BigQuery, Dataflow, Dataproc, ML-Engine,
AI-Platform, AutoML
Knowledge of NLP techniques
Version Control (Git)
Experience within the online retail space
Wide range of benefits on offer including 25 days holiday with the option to buy/sell back 5 more. Flexible starting hours (between 8:00 and 10:00), every employee gets £1000 personal budget to spend on conferences and training a year, company healthcare plan with, Quarterly team events and paternity leave is 4 weeks at 100% pay. Generous Bonus scheme.
05/02/2020
Full time
Location
Birmingham, West Midlands
Sector:
Technology
Job type:
Permanent
Salary:
£40000 - £65000 per annum + Excellent benefits
Contact:
Liam Evans
Contact email:
liame@eligo.co.uk
Job ref:
DSC8292-HS_1580812752
Published:
about 19 hours ago
Expiry date:
2020-03-05
Startdate:
ASAP
Consultant:
Liam Evans
Data Scientist
Rapidly growing start-up based in Central Birmingham, who are at the forefront of utilising Artificial Intelligence to improve ecommerce and help retails better connect with customise online are hiring for additional Machine Learning Engineer/Data Scientists to join team.
With a swift interview process now is the time to apply.
Key Skills -
Proven experience delivering cutting edge analytics in a commercial environment utilising best in class Artificial Intelligence, Machine Learning and Deep Learning techniques
Research background; MSc or PhD in quantitative fields like Mathematics, Statistics, Economics, Computing, Engineering, Biology, Chemistry
Knowledge of and practical experience with Python for data analysis (Pandas, statsmodels, NumPy, scikit-learn, Jupyter notebooks, NLTK)
Experience with frameworks such as Tensorflow/Keras
Strong working knowledge of machine learning models, data mining techniques and inference algorithms such as decision trees, association rules, clustering, classification, regression, topic models, stochastic sampling and collaborative filtering
Experience conducting data analysis on big data (e.g. TB+ scale datasets)
Data visualization, manipulation and extraction skills
Ability to clearly communicate complex research findings to both technical and non-technical team members
Awareness of wider business domain and opportunities
Desirable Skills (full training provided) -
Experience with Google Cloud Platform - BigQuery, Dataflow, Dataproc, ML-Engine,
AI-Platform, AutoML
Knowledge of NLP techniques
Version Control (Git)
Experience within the online retail space
Wide range of benefits on offer including 25 days holiday with the option to buy/sell back 5 more. Flexible starting hours (between 8:00 and 10:00), every employee gets £1000 personal budget to spend on conferences and training a year, company healthcare plan with, Quarterly team events and paternity leave is 4 weeks at 100% pay. Generous Bonus scheme.
Design, develop and implement data science and machine learning models in proof-of-concepts and prototypes
Develop, optimize, standardize and implement data science and machine learning solutions at scale in data pipelines and distributed systems (e.g. Hadoop/Spark/Kubernetes ecosystem)
Engineer at scale using service-oriented architecture, containerized applications and functions as a service, especially in cloud service environments (i.e. IaaS, PaaS, SaaS, FaaS)
Optimize data science and machine learning models using high performance computing (e.g. GPGPU) and real-time techniques (e.g. messaging/streaming services, reactive programming)
Represent machine learning and data science expertise at workshops and conferences
Educational Background : Masters or Phd. in Applied maths/stats We look for a profile with complementary skills, such as:
Machine Learning with Python
Micro services
Experience in predictive modelling is desired.
Expert skills with regard to code performance optimization and scalability (e.g., parallelization, sharding, scattering, gathering etc.)
Solid understanding of service-oriented architectures (e.g. microservices) & distributed systems (e.g. Hadoop, Kubernetes).
Solid knowledge of cloud computing environments and tooling (AWS, Azure).
Hands-on experience with scalable machine learning frameworks and general data science tooling required.
Hands-on experience with continuous integration and big data environments required.
Hands-on experience with Kubernetes / Docker or containerization or terraform or any dev ops
Background in a statistical or mathematical field, ideally with a computational element, such as Physics, Data Science, Computer Science is a must
Experience in development of custom machine learning models from prototyping to scalable implementations would be a strong plus.
Our toolset/ecosystem:
OS: Linux (Ubuntu, Debian, CoreOS)
Programming languages: Java, Scala, C#, C++
Analytical languages: Python, Spark (Java, Scala, Pyspark, SparkR), R
Client-Frameworks: H2O, TF, Spark MLlib, Theano, Torch, Caffe, MXNet, Seldon.io
HPC: CUDA, Numba, C/C++
Presentation: Jupyter, Dash, Shiny, Vaadin
Backend: Flask, Dash, Eve, Spring, Spring Boot
Big Data: Hadoop, Hive, Spark, Accumulo, Nifi
Messaging/Streaming: Kafka, Flink
DevOps: Docker, Kubernetes, Bitbucket, Bamboo, Nexus, ELK, Prometheus, Ansible, Terraform
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03/02/2020
Full time
Design, develop and implement data science and machine learning models in proof-of-concepts and prototypes
Develop, optimize, standardize and implement data science and machine learning solutions at scale in data pipelines and distributed systems (e.g. Hadoop/Spark/Kubernetes ecosystem)
Engineer at scale using service-oriented architecture, containerized applications and functions as a service, especially in cloud service environments (i.e. IaaS, PaaS, SaaS, FaaS)
Optimize data science and machine learning models using high performance computing (e.g. GPGPU) and real-time techniques (e.g. messaging/streaming services, reactive programming)
Represent machine learning and data science expertise at workshops and conferences
Educational Background : Masters or Phd. in Applied maths/stats We look for a profile with complementary skills, such as:
Machine Learning with Python
Micro services
Experience in predictive modelling is desired.
Expert skills with regard to code performance optimization and scalability (e.g., parallelization, sharding, scattering, gathering etc.)
Solid understanding of service-oriented architectures (e.g. microservices) & distributed systems (e.g. Hadoop, Kubernetes).
Solid knowledge of cloud computing environments and tooling (AWS, Azure).
Hands-on experience with scalable machine learning frameworks and general data science tooling required.
Hands-on experience with continuous integration and big data environments required.
Hands-on experience with Kubernetes / Docker or containerization or terraform or any dev ops
Background in a statistical or mathematical field, ideally with a computational element, such as Physics, Data Science, Computer Science is a must
Experience in development of custom machine learning models from prototyping to scalable implementations would be a strong plus.
Our toolset/ecosystem:
OS: Linux (Ubuntu, Debian, CoreOS)
Programming languages: Java, Scala, C#, C++
Analytical languages: Python, Spark (Java, Scala, Pyspark, SparkR), R
Client-Frameworks: H2O, TF, Spark MLlib, Theano, Torch, Caffe, MXNet, Seldon.io
HPC: CUDA, Numba, C/C++
Presentation: Jupyter, Dash, Shiny, Vaadin
Backend: Flask, Dash, Eve, Spring, Spring Boot
Big Data: Hadoop, Hive, Spark, Accumulo, Nifi
Messaging/Streaming: Kafka, Flink
DevOps: Docker, Kubernetes, Bitbucket, Bamboo, Nexus, ELK, Prometheus, Ansible, Terraform
eTeam Privacy Policy
