Revolut
London, UK
ABOUT THE TEAM
Data sits at the heart of Revolut and plays a uniquely crucial role in what we do. With data we build intelligent real-time systems to personalise our product, tackle financial crime, automate reporting, track team performances and enhance customer experiences.Fundamentally, data underpins all operations at Revolut and being part of the team gives you the chance to have a major impact across the company – apply today to join our world class data department.
WHAT WE NEED
Our Machine Learning Engineers are responsible for developing and operationalising online and offline algorithms which integrate with Revolut’s server layer. They are skilled in software engineering, machine learning, network science and applied mathematics. They also possess a passion for building solutions and have a strong aptitude for data technologies. You will work with the Financial Crime - Transaction monitoring team. We are a full stack team of data engineers, ML engineers, data scientists, backend engineers and financial crime specialists who are solving some of the hardest anti-fraud and anti-money laundering problems in the world. Our team builds artificial intelligence (AI) driven systems that continuously learn anomalous patterns typical of fraud. In this regard, we need a machine learning engineer to join our team and build new models to detect cloning of Revolut cards, stolen cards or bank accounts being linked to a Revolut account. If you love pitting your wits against an intelligent adversary by utilizing AI, then this is your gig!
WHAT YOU’LL BE DOING ✍️
You will be responsible for building new machine learning models to solve anti-fraud or anti-money laundering. Our machine learning engineers are end-to-end practitioners which implies they are responsible for coming up with an idea, prototyping the model using Jupyter notebook, implementing it in our data pipeline and measuring its impact in production.You will work alongside a team of 10+ machine learning engineers and data scientists in Financial Crime and come up with innovative new signals and embeddings. At Revolut, we are firm believers in measuring and rewarding for success and your KPIs will be dictated by how much impact your models are having to our bottom line (fraud rate) while not compromising our good users’ experience. Our data stack is Python in the backend with Exasol as our data warehouse. We are hosted on Google Cloud Platform and our team relies heavily on DataFlow, Big Query, Apache Beam, Apache Flink & Airflow for their machine learning pipelines.
WHAT SKILLS YOU'LL NEED
Proficient with Python and able to push code into production1+ year(s) experience in applied machine learning/network science solutions via internships or full-time rolesBachelor's/Master's/PhD in STEM (Mathematics, Computer Science, Physics, Engineering, Economics)Quick learner with an ambitious and results driven personalityWorking well as part of a team in a fast-paced environmentExcellent communication and organizational skills A LITTLE ABOUT US
We believe that there are better ways for people to control their money. Easier, fairer ways.Revolut started in 2015 with fee-free card transactions abroad. We’ve since added current accounts, business accounts, savings, insurance, and even cryptocurrency trading.We reached 4 million customers in February 2019 and we’re adding another million every quarter.And we’re only just getting started.Come and help Revolut build the world’s first truly global bank.
WHAT WE ARE LOOKING FOR
From employee 1 to employee 1000, you will be slotting into a global team that shares a number of traits.You can work autonomously and take ownership. We thrive with the space and responsibility to solve problems.You operate best without lots of bureaucracy. We don’t hide behind fancy job titles or clunky processes ‘because that’s how things are done’.You approach work in a logical way. We are not afraid to make mistakes but we use data and logic to backup decisions and improve understanding.And you share our mission to improve people’s relationship with their money.
THE BENEFITS
Competitive salary
Biannual equity bonuses
All the latest tech you need
Skip the commute and work from home once a week
Roll with a free Revolut Metal subscription
Pension plan
Private health insurance
Don’t panic about cooking: get free dinners with Deliveroo
Start the day properly with fresh fruit and cereals
Stay refreshed: get juice, tea, coffee and soft drinks on tap
Rest up with 29 days’ holiday per year
Please only submit an application for one posting.
ABOUT THE TEAM
Data sits at the heart of Revolut and plays a uniquely crucial role in what we do. With data we build intelligent real-time systems to personalise our product, tackle financial crime, automate reporting, track team performances and enhance customer experiences.Fundamentally, data underpins all operations at Revolut and being part of the team gives you the chance to have a major impact across the company – apply today to join our world class data department.
WHAT WE NEED
Our Machine Learning Engineers are responsible for developing and operationalising online and offline algorithms which integrate with Revolut’s server layer. They are skilled in software engineering, machine learning, network science and applied mathematics. They also possess a passion for building solutions and have a strong aptitude for data technologies. You will work with the Financial Crime - Transaction monitoring team. We are a full stack team of data engineers, ML engineers, data scientists, backend engineers and financial crime specialists who are solving some of the hardest anti-fraud and anti-money laundering problems in the world. Our team builds artificial intelligence (AI) driven systems that continuously learn anomalous patterns typical of fraud. In this regard, we need a machine learning engineer to join our team and build new models to detect cloning of Revolut cards, stolen cards or bank accounts being linked to a Revolut account. If you love pitting your wits against an intelligent adversary by utilizing AI, then this is your gig!
WHAT YOU’LL BE DOING ✍️
You will be responsible for building new machine learning models to solve anti-fraud or anti-money laundering. Our machine learning engineers are end-to-end practitioners which implies they are responsible for coming up with an idea, prototyping the model using Jupyter notebook, implementing it in our data pipeline and measuring its impact in production.You will work alongside a team of 10+ machine learning engineers and data scientists in Financial Crime and come up with innovative new signals and embeddings. At Revolut, we are firm believers in measuring and rewarding for success and your KPIs will be dictated by how much impact your models are having to our bottom line (fraud rate) while not compromising our good users’ experience. Our data stack is Python in the backend with Exasol as our data warehouse. We are hosted on Google Cloud Platform and our team relies heavily on DataFlow, Big Query, Apache Beam, Apache Flink & Airflow for their machine learning pipelines.
WHAT SKILLS YOU'LL NEED
Proficient with Python and able to push code into production1+ year(s) experience in applied machine learning/network science solutions via internships or full-time rolesBachelor's/Master's/PhD in STEM (Mathematics, Computer Science, Physics, Engineering, Economics)Quick learner with an ambitious and results driven personalityWorking well as part of a team in a fast-paced environmentExcellent communication and organizational skills A LITTLE ABOUT US
We believe that there are better ways for people to control their money. Easier, fairer ways.Revolut started in 2015 with fee-free card transactions abroad. We’ve since added current accounts, business accounts, savings, insurance, and even cryptocurrency trading.We reached 4 million customers in February 2019 and we’re adding another million every quarter.And we’re only just getting started.Come and help Revolut build the world’s first truly global bank.
WHAT WE ARE LOOKING FOR
From employee 1 to employee 1000, you will be slotting into a global team that shares a number of traits.You can work autonomously and take ownership. We thrive with the space and responsibility to solve problems.You operate best without lots of bureaucracy. We don’t hide behind fancy job titles or clunky processes ‘because that’s how things are done’.You approach work in a logical way. We are not afraid to make mistakes but we use data and logic to backup decisions and improve understanding.And you share our mission to improve people’s relationship with their money.
THE BENEFITS
Competitive salary
Biannual equity bonuses
All the latest tech you need
Skip the commute and work from home once a week
Roll with a free Revolut Metal subscription
Pension plan
Private health insurance
Don’t panic about cooking: get free dinners with Deliveroo
Start the day properly with fresh fruit and cereals
Stay refreshed: get juice, tea, coffee and soft drinks on tap
Rest up with 29 days’ holiday per year
Please only submit an application for one posting.
Ocado
Hatfield, UK
Ocado is the world's largest online only grocer. Ocado Technology is responsible for the design and development of almost all the software that runs our highly automated business. The robotics research team is working on sensor-guided robotic systems to further improve the efficiency of our operation. What does the Robotics research team do? Our primary goal is to find the best way to deploy robots in the production of grocery orders. In order to do this, we pursue cutting edge research into state of the art algorithms, sensing technologies, and manipulation techniques. As part of our effort to be in the vanguard of robotics research, the team is involved in two European Union funded Horizon 2020 research projects with a number of leading European Universities. Outline descriptions of these projects are as follows: -
The SoMa project is concerned with using inherently compliant robotic mechanisms in order to exploit environmental constraints to manipulate objects with a wide variety of properties in highly variable environments. The project has attracted funding of ~7Million Euros and runs for four years from May 2015. More details of the project and the list of other participants can be found at the project's website: http://soma-project.eu ( http://soma-project.eu ).
Ocado is the project coordinator for the project SecondHands: the aim of the project is to develop a robot that will act as an assistant to Ocado maintenance technicians that is able to understand a technician's activity and pro-actively offer assistance in a timely manner, i.e. it will behave as a second pair of hands for the technician. The project has attracted funding of ~7Million Euros and runs for five years from May 2015. More details of the project and the list of other participants can be found at the project's website: https://secondhands.eu ( https://secondhands.eu ).
In addition to these projects, the team liaises with a number of leading UK universities performing robotics and/or computer vision research and we often host student interns. In a nutshell We are currently looking to expand the robotics research team. Ideally, we are looking for candidates that are happy to travel internationally, as necessary, to integrate cutting edge research work from specialist research groups into working systems that provide real-world demonstrations of significant advances in the understanding of the principles of robotics and human-machine interfaces. Although the successful candidates may spend time working on the Horizon 2020 projects the posts are permanent and will persist beyond the duration of these projects. What I need to do In order to make the most of the high degree of autonomy that members of the team enjoy we expect you to: -
Participate effectively in investigating and implementing sensor-guided robotics solutions to a wide variety of automation problems
Take an active role in the choice of technologies and techniques used in the delivery of robotics application demonstrators.
Perform mathematical modelling and algorithm development to achieve real-time sensor-guided robot motions.
Develop software that implements practical solutions to specific robotic applications.
Documentation of theoretical developments and their software implementation.
Demonstrate working systems and thoroughly test them to establish their operational limits.
Attend regular meetings to report on progress and share ideas
Work closely with other team members on issues relating to design and requirements.
What I need to know Candidates are expected to have: 2:1 or 1st class degree (or equivalent) in one of the following subjects: -
Computer Science,
Informatics,
Joint Computing & Maths,
Robotics, Mechatronics, Cybernetics or another Engineering discipline with a strong software engineering component.
A post-graduate qualification, ideally a PhD, in a relevant area, or a demonstrable track record of the ability to perform novel work in a cutting edge environment on challenging projects. Job-specific skills Candidates are sought with knowledge and experience of Artificial Intelligence techniques as applied to robotics and robotic manipulation, in particular: -
Symbolic reasoning
Task planning
Machine learning: -
kernel methods,
neural nets/deep learning,
HMMs,
reinforcement learning,
deep reinforcement learning
The application domains include: -
Programming by demonstration
Learning by imitation
Dynamic task re-planning
Computer vision: -
segmentation,
object identification,
tracking,
event detection,
robot guidance
The primary development languages are Python and C/C++ in Linux. Knowledge of ROS would be highly desirable. What we can offer you Technically stretching work is a given. We want you to push technological boundaries and create solutions to problems people haven't even thought about yet; so we'll give you the freedom and the tools and the playful, stimulating working environment you need to do what's never been done before. While red tape's conspicuous by its absence, rewards are plentiful: as well as a competitive salary, benefits include pension scheme, share scheme, interest-free season ticket loan and, of course, a healthy 15% Ocado staff discount (and free delivery). Find out more about Ocado Technology at http://www.ocadotechnology.com Please note that due to the high volume of applications we will be in contact with shortlisted candidates only. If you have not heard from us within 4 weeks, please assume your application has been unsuccessful on this occasion.
Ocado is the world's largest online only grocer. Ocado Technology is responsible for the design and development of almost all the software that runs our highly automated business. The robotics research team is working on sensor-guided robotic systems to further improve the efficiency of our operation. What does the Robotics research team do? Our primary goal is to find the best way to deploy robots in the production of grocery orders. In order to do this, we pursue cutting edge research into state of the art algorithms, sensing technologies, and manipulation techniques. As part of our effort to be in the vanguard of robotics research, the team is involved in two European Union funded Horizon 2020 research projects with a number of leading European Universities. Outline descriptions of these projects are as follows: -
The SoMa project is concerned with using inherently compliant robotic mechanisms in order to exploit environmental constraints to manipulate objects with a wide variety of properties in highly variable environments. The project has attracted funding of ~7Million Euros and runs for four years from May 2015. More details of the project and the list of other participants can be found at the project's website: http://soma-project.eu ( http://soma-project.eu ).
Ocado is the project coordinator for the project SecondHands: the aim of the project is to develop a robot that will act as an assistant to Ocado maintenance technicians that is able to understand a technician's activity and pro-actively offer assistance in a timely manner, i.e. it will behave as a second pair of hands for the technician. The project has attracted funding of ~7Million Euros and runs for five years from May 2015. More details of the project and the list of other participants can be found at the project's website: https://secondhands.eu ( https://secondhands.eu ).
In addition to these projects, the team liaises with a number of leading UK universities performing robotics and/or computer vision research and we often host student interns. In a nutshell We are currently looking to expand the robotics research team. Ideally, we are looking for candidates that are happy to travel internationally, as necessary, to integrate cutting edge research work from specialist research groups into working systems that provide real-world demonstrations of significant advances in the understanding of the principles of robotics and human-machine interfaces. Although the successful candidates may spend time working on the Horizon 2020 projects the posts are permanent and will persist beyond the duration of these projects. What I need to do In order to make the most of the high degree of autonomy that members of the team enjoy we expect you to: -
Participate effectively in investigating and implementing sensor-guided robotics solutions to a wide variety of automation problems
Take an active role in the choice of technologies and techniques used in the delivery of robotics application demonstrators.
Perform mathematical modelling and algorithm development to achieve real-time sensor-guided robot motions.
Develop software that implements practical solutions to specific robotic applications.
Documentation of theoretical developments and their software implementation.
Demonstrate working systems and thoroughly test them to establish their operational limits.
Attend regular meetings to report on progress and share ideas
Work closely with other team members on issues relating to design and requirements.
What I need to know Candidates are expected to have: 2:1 or 1st class degree (or equivalent) in one of the following subjects: -
Computer Science,
Informatics,
Joint Computing & Maths,
Robotics, Mechatronics, Cybernetics or another Engineering discipline with a strong software engineering component.
A post-graduate qualification, ideally a PhD, in a relevant area, or a demonstrable track record of the ability to perform novel work in a cutting edge environment on challenging projects. Job-specific skills Candidates are sought with knowledge and experience of Artificial Intelligence techniques as applied to robotics and robotic manipulation, in particular: -
Symbolic reasoning
Task planning
Machine learning: -
kernel methods,
neural nets/deep learning,
HMMs,
reinforcement learning,
deep reinforcement learning
The application domains include: -
Programming by demonstration
Learning by imitation
Dynamic task re-planning
Computer vision: -
segmentation,
object identification,
tracking,
event detection,
robot guidance
The primary development languages are Python and C/C++ in Linux. Knowledge of ROS would be highly desirable. What we can offer you Technically stretching work is a given. We want you to push technological boundaries and create solutions to problems people haven't even thought about yet; so we'll give you the freedom and the tools and the playful, stimulating working environment you need to do what's never been done before. While red tape's conspicuous by its absence, rewards are plentiful: as well as a competitive salary, benefits include pension scheme, share scheme, interest-free season ticket loan and, of course, a healthy 15% Ocado staff discount (and free delivery). Find out more about Ocado Technology at http://www.ocadotechnology.com Please note that due to the high volume of applications we will be in contact with shortlisted candidates only. If you have not heard from us within 4 weeks, please assume your application has been unsuccessful on this occasion.
STFC
Warrington, UK
The Science and Technology Facilities Council (STFC) is one of Europe’s largest science research organisations. We’re trusted to support, enable and undertake pioneering projects in an amazing diversity of fields. Through world-class facilities and people, we’re driving ground-breaking advances in science and technology.
As part of UK Research and Innovation (UKRI) STFC offers a benefits package designed to provide an excellent work/life balance. This includes 30 days’ annual leave, 10.5 public and privilege days, Christmas shut down, flexible working hours, an exceptional defined benefit pension scheme, and social and sporting activities and societies. Full details can be found on STFC’s careers pages.
The Hartree Centre is transforming UK industry through high performance computing, data analytics and artificial intelligence (AI) technologies. Backed by over £170 million of government funding and significant strategic partnerships with organisations such as IBM and Atos, the Hartree Centre is home to some of the most advanced computing, data and AI technologies in the UK. From early stage SMEs to international corporations, our experts work with industry and the research community to address real life challenges and accelerate the adoption of high-performance technologies, delivering transformative gains in performance, productivity and time to market. We are on the frontline maintaining the UK's position at the forefront of industrial innovation through a range of computational services and collaborative partnerships. Our emerging technologies and internationally recognised expertise offer significant opportunities for UK industry to revolutionise processes and soak up significant economic advantages, whilst also supporting academic researchers with the tools they need to push the boundaries of pioneering UK and international science. We are a centre within the Science and Technology Facilities Council (STFC).
To achieve this, we work collaboratively with a range of groups (companies of all sizes, research institutes and universities), across five core areas: Proof of technology, collaborative research and development, software development and optimisation, platform as a service and training and skills development. We are improving competitive advantage and productivity for our clients, partners and the wider community and developing the UK skills-base in future technologies.
The continuing success of the Hartree Centre means we are looking to recruit talented and enthusiastic Scientists, Engineers and Technologists to work on ground breaking projects across the full range of Artificial Intelligence, specifically, Natural Language Processing, Machine Learning or Knowledge Engineering.
You will work on a variety of challenging projects across a range of industry sectors (including Healthcare, Aerospace, Oil and Gas, Automotive Engineering, Transport Systems, Chemistry and Life Sciences, to name a few), utilising and enhancing your skills in Natural Language Processing, Machine Learning or Knowledge Engineering. The choice of project will depend to some extent upon your strengths, but the common thread is the application of innovative computing solutions to real industry problems. In addition, you will have the opportunity to work with the latest high-performance computing, Big Data and Artificial Intelligence technologies from Nvidia, Intel and IBM, including its world-class ‘Watson’ cognitive computing platform.
Responsibilities include:
identifying appropriate available technologies, as well as designing appropriate technology solutions where none are available
learning and applying data centric, analytics and artificial intelligence technologies, developing ‘proofs of concept’ to demonstrate Hartree Centre capabilities to clients
validating conclusions, and presenting results to clients (including advanced visualisation)
defining work plans for specific Hartree Centre projects
making site visits to commercial and academic partners
publishing non-confidential results
project management will also be a key responsibility for the Band E position.
Contacts and Communication
You will join a growing team of world class data scientists within the Hartree Centre, working closely with applications teams in STFC’s Scientific Computing Division and with an expanding IBM Research team based at the Daresbury site. You will work with business development personnel to develop collaborations with industrial partners and public agencies.
The Hartree Centre works closely with industrial clients on specific projects, and you will also contribute to the development and delivery of these projects as needed. Some of the work will be commercial in confidence and subject to IPR rules around public disclosure. You will be working closely with teams within commercial companies.
Personal Skills and Attributes
You will have graduated in an appropriate discipline, preferably with a relevant graduate or post-graduate qualification and/or with relevant on the job experience in developing end-to-end Artificial Intelligence systems to take on real-world, industry-scale problems, or experience using some combination of AI technologies (involving Natural Language Processing, Machine Learning and/or Knowledge Engineering) to tackle everyday challenges in a related field such as data science.
As a Band E, you will be expected to be able to directly contribute to the scoping, development, management and delivery of projects based on your understanding of state-of-the-art in AI and related fields.
Through previous formal or “on the job” training, you will have in-depth experience of developing and delivering projects which employ at least one or more of the following technologies:
Natural Language Processing
Knowledge Engineering
Machine Learning (inc. Deep Learning).
While support from other members of the department is available, you should have a knowledge of software engineering and tools, the use of clusters or supercomputers, and data management.
Aside from solid experience in one of the core areas of Natural Language Processing, Machine Learning or Knowledge Engineering, demonstration of knowledge and/or experience in areas, such as Human Computer Interaction, Robotics, Computer Vision, Speech and conversational user interfaces, Web-based Agents, Wearable devices and the like, will be a distinct advantage.
You will need to work on diverse projects, so an ability to have informed discussions with scientists, industrial clients and academic colleagues from different domains is important. Hartree Centre projects are solution-focused, so working to a plan and within a deadline is key.
For the senior Band E position you will also need to be able to demonstrate skills and experience in leading small to medium sized projects. Solid understanding of and experience implementing different project management methodologies will be an advantage.
Organization Description
UK Research and Innovation is a new entity that brings together nine partners to create an independent organisation with a strong voice for research and innovation, and a vision to ensure the UK maintains its world-leading position in research and innovation. More information can be found at www.ukri.org.
The Science and Technology Facilities Council is a world-leading multi-disciplinary science organisation, and our goal is to deliver economic, societal, scientific and international benefits to the UK and its people – and more broadly to the world.
Shortlisting (S) & Interview (I) criteria
Essential:
educated to degree level or equivalent in a computer science, mathematical or scientific discipline (S)
solid background in mathematics, including good understanding of statistical methods (S&I)
experience of working as a member of project teams, preferably on software or cross-disciplinary projects (S&I)
demonstrable ability to master new tools and technologies (S&I)
experience of writing software for deployment, using established technology, e.g. Python, Java, Scala, C/C++ (S&I).
In addition to the above, for the Band E position you will also demonstrate:
formal training (with qualifications) in at least one of: Natural Language Processing, Machine Learning, Knowledge Engineering, or other equivalent relevant discipline with a significant AI component (S&I)
experience leading small to medium sized projects (S&I).
Desirable:
a Postgraduate degree in a computer science, mathematical or scientific discipline (S)
Postgraduate research experience in at least one of: Natural Language Processing, Machine Learning, Knowledge Engineering, or other equivalent relevant discipline with a significant AI component (S&I)
experience with any of the following: Human Computer Interaction, Dialogue Modelling, Robotics, Computer Vision, Speech and conversational user interfaces, Web-based Agents, Wearable devices (S&I)
strong background in application of statistical methods, particularly for modelling language and linguistic behaviour (e.g. sentiment, question-answering, dialogue) (S&I)
experience of big data problems and processing solutions (e.g. Hadoop Map-Reduce and Spark) (S&I)
experience of data visualisation (S&I)
experience of scientific programming using R, Matlab, C, C++ or Fortran (S&I)
knowledge of good software engineering practice and standards, including but not limited to (S&I)
continuous integration
test driven development
reproducibility of results
software interoperability (workflow creation and optimisation)
experience developing interfaces and/or glue code.
UKRI supports research in areas that include animal health, agriculture and food security, and bioscience for health which includes research on animals, genetic modification and stem cell research. Whilst you may not have direct involvement in this type of research, you should consider whether this conflicts with your personal values or beliefs.
To enable us to hire the very best people we will conduct a full and comprehensive pre-employment check as an essential part of the recruitment process on all individuals that are offered a position with UKRI. This will include a security check and an extreme organisations affiliation check.
Employee Benefits
UK Research and Innovation recognises and values employees as individuals and aim to provide a pay and rewards package that motivates staff to perform to the best of their ability. The reward package includes a flexible working scheme, a Career Average Revalued Earnings pension scheme, 30 days annual leave allowance and a number of other benefits.
Developing Talent
We are committed to developing employees in their roles throughout their career. Learning and development plans enable employees to continue their professional development through training and development opportunities such as e-learning, classroom training and on-the-job experiences. We encourage our employees to share their learning across teams and organisations.
Equal Opportunities
We strive to make decisions based on individual merit and ability. We welcome applications from all sections of the community and promote equality of opportunity in accordance with the Equality Act 2010. As holders of Disability Confident Employer status, we guarantee to interview all applicants with disabilities who meet the minimum criteria for the vacancy.
As this job does not fulfil the Home Office Code of Practice criterion for obtaining sponsored migrant worker status we will be unable to apply for sponsorship for anyone not eligible to work in the UK. At interview, all shortlisted candidates are required to bring with them identification documents and original documents that prove they hold or can obtain the right to work in the UK. You can check your eligibility here: https://www.gov.uk/check-uk-visa/y.
Online applications only. Please submit a covering letter and CV ensuring that the IRC reference is included in the filename description of each document uploaded. Please note that failure to address the above criteria or submitted without a covering letter may result in your application not being considered.
If you would like to receive this advert in an alternative format (e.g. large print, Braille, audio or hard copy), are unable to apply online or do not wish to create an account but would still like to apply for a specific role, please contact us by telephone on 01793 867000.
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The Science and Technology Facilities Council (STFC) is one of Europe’s largest science research organisations. We’re trusted to support, enable and undertake pioneering projects in an amazing diversity of fields. Through world-class facilities and people, we’re driving ground-breaking advances in science and technology.
As part of UK Research and Innovation (UKRI) STFC offers a benefits package designed to provide an excellent work/life balance. This includes 30 days’ annual leave, 10.5 public and privilege days, Christmas shut down, flexible working hours, an exceptional defined benefit pension scheme, and social and sporting activities and societies. Full details can be found on STFC’s careers pages.
The Hartree Centre is transforming UK industry through high performance computing, data analytics and artificial intelligence (AI) technologies. Backed by over £170 million of government funding and significant strategic partnerships with organisations such as IBM and Atos, the Hartree Centre is home to some of the most advanced computing, data and AI technologies in the UK. From early stage SMEs to international corporations, our experts work with industry and the research community to address real life challenges and accelerate the adoption of high-performance technologies, delivering transformative gains in performance, productivity and time to market. We are on the frontline maintaining the UK's position at the forefront of industrial innovation through a range of computational services and collaborative partnerships. Our emerging technologies and internationally recognised expertise offer significant opportunities for UK industry to revolutionise processes and soak up significant economic advantages, whilst also supporting academic researchers with the tools they need to push the boundaries of pioneering UK and international science. We are a centre within the Science and Technology Facilities Council (STFC).
To achieve this, we work collaboratively with a range of groups (companies of all sizes, research institutes and universities), across five core areas: Proof of technology, collaborative research and development, software development and optimisation, platform as a service and training and skills development. We are improving competitive advantage and productivity for our clients, partners and the wider community and developing the UK skills-base in future technologies.
The continuing success of the Hartree Centre means we are looking to recruit talented and enthusiastic Scientists, Engineers and Technologists to work on ground breaking projects across the full range of Artificial Intelligence, specifically, Natural Language Processing, Machine Learning or Knowledge Engineering.
You will work on a variety of challenging projects across a range of industry sectors (including Healthcare, Aerospace, Oil and Gas, Automotive Engineering, Transport Systems, Chemistry and Life Sciences, to name a few), utilising and enhancing your skills in Natural Language Processing, Machine Learning or Knowledge Engineering. The choice of project will depend to some extent upon your strengths, but the common thread is the application of innovative computing solutions to real industry problems. In addition, you will have the opportunity to work with the latest high-performance computing, Big Data and Artificial Intelligence technologies from Nvidia, Intel and IBM, including its world-class ‘Watson’ cognitive computing platform.
Responsibilities include:
identifying appropriate available technologies, as well as designing appropriate technology solutions where none are available
learning and applying data centric, analytics and artificial intelligence technologies, developing ‘proofs of concept’ to demonstrate Hartree Centre capabilities to clients
validating conclusions, and presenting results to clients (including advanced visualisation)
defining work plans for specific Hartree Centre projects
making site visits to commercial and academic partners
publishing non-confidential results
project management will also be a key responsibility for the Band E position.
Contacts and Communication
You will join a growing team of world class data scientists within the Hartree Centre, working closely with applications teams in STFC’s Scientific Computing Division and with an expanding IBM Research team based at the Daresbury site. You will work with business development personnel to develop collaborations with industrial partners and public agencies.
The Hartree Centre works closely with industrial clients on specific projects, and you will also contribute to the development and delivery of these projects as needed. Some of the work will be commercial in confidence and subject to IPR rules around public disclosure. You will be working closely with teams within commercial companies.
Personal Skills and Attributes
You will have graduated in an appropriate discipline, preferably with a relevant graduate or post-graduate qualification and/or with relevant on the job experience in developing end-to-end Artificial Intelligence systems to take on real-world, industry-scale problems, or experience using some combination of AI technologies (involving Natural Language Processing, Machine Learning and/or Knowledge Engineering) to tackle everyday challenges in a related field such as data science.
As a Band E, you will be expected to be able to directly contribute to the scoping, development, management and delivery of projects based on your understanding of state-of-the-art in AI and related fields.
Through previous formal or “on the job” training, you will have in-depth experience of developing and delivering projects which employ at least one or more of the following technologies:
Natural Language Processing
Knowledge Engineering
Machine Learning (inc. Deep Learning).
While support from other members of the department is available, you should have a knowledge of software engineering and tools, the use of clusters or supercomputers, and data management.
Aside from solid experience in one of the core areas of Natural Language Processing, Machine Learning or Knowledge Engineering, demonstration of knowledge and/or experience in areas, such as Human Computer Interaction, Robotics, Computer Vision, Speech and conversational user interfaces, Web-based Agents, Wearable devices and the like, will be a distinct advantage.
You will need to work on diverse projects, so an ability to have informed discussions with scientists, industrial clients and academic colleagues from different domains is important. Hartree Centre projects are solution-focused, so working to a plan and within a deadline is key.
For the senior Band E position you will also need to be able to demonstrate skills and experience in leading small to medium sized projects. Solid understanding of and experience implementing different project management methodologies will be an advantage.
Organization Description
UK Research and Innovation is a new entity that brings together nine partners to create an independent organisation with a strong voice for research and innovation, and a vision to ensure the UK maintains its world-leading position in research and innovation. More information can be found at www.ukri.org.
The Science and Technology Facilities Council is a world-leading multi-disciplinary science organisation, and our goal is to deliver economic, societal, scientific and international benefits to the UK and its people – and more broadly to the world.
Shortlisting (S) & Interview (I) criteria
Essential:
educated to degree level or equivalent in a computer science, mathematical or scientific discipline (S)
solid background in mathematics, including good understanding of statistical methods (S&I)
experience of working as a member of project teams, preferably on software or cross-disciplinary projects (S&I)
demonstrable ability to master new tools and technologies (S&I)
experience of writing software for deployment, using established technology, e.g. Python, Java, Scala, C/C++ (S&I).
In addition to the above, for the Band E position you will also demonstrate:
formal training (with qualifications) in at least one of: Natural Language Processing, Machine Learning, Knowledge Engineering, or other equivalent relevant discipline with a significant AI component (S&I)
experience leading small to medium sized projects (S&I).
Desirable:
a Postgraduate degree in a computer science, mathematical or scientific discipline (S)
Postgraduate research experience in at least one of: Natural Language Processing, Machine Learning, Knowledge Engineering, or other equivalent relevant discipline with a significant AI component (S&I)
experience with any of the following: Human Computer Interaction, Dialogue Modelling, Robotics, Computer Vision, Speech and conversational user interfaces, Web-based Agents, Wearable devices (S&I)
strong background in application of statistical methods, particularly for modelling language and linguistic behaviour (e.g. sentiment, question-answering, dialogue) (S&I)
experience of big data problems and processing solutions (e.g. Hadoop Map-Reduce and Spark) (S&I)
experience of data visualisation (S&I)
experience of scientific programming using R, Matlab, C, C++ or Fortran (S&I)
knowledge of good software engineering practice and standards, including but not limited to (S&I)
continuous integration
test driven development
reproducibility of results
software interoperability (workflow creation and optimisation)
experience developing interfaces and/or glue code.
UKRI supports research in areas that include animal health, agriculture and food security, and bioscience for health which includes research on animals, genetic modification and stem cell research. Whilst you may not have direct involvement in this type of research, you should consider whether this conflicts with your personal values or beliefs.
To enable us to hire the very best people we will conduct a full and comprehensive pre-employment check as an essential part of the recruitment process on all individuals that are offered a position with UKRI. This will include a security check and an extreme organisations affiliation check.
Employee Benefits
UK Research and Innovation recognises and values employees as individuals and aim to provide a pay and rewards package that motivates staff to perform to the best of their ability. The reward package includes a flexible working scheme, a Career Average Revalued Earnings pension scheme, 30 days annual leave allowance and a number of other benefits.
Developing Talent
We are committed to developing employees in their roles throughout their career. Learning and development plans enable employees to continue their professional development through training and development opportunities such as e-learning, classroom training and on-the-job experiences. We encourage our employees to share their learning across teams and organisations.
Equal Opportunities
We strive to make decisions based on individual merit and ability. We welcome applications from all sections of the community and promote equality of opportunity in accordance with the Equality Act 2010. As holders of Disability Confident Employer status, we guarantee to interview all applicants with disabilities who meet the minimum criteria for the vacancy.
As this job does not fulfil the Home Office Code of Practice criterion for obtaining sponsored migrant worker status we will be unable to apply for sponsorship for anyone not eligible to work in the UK. At interview, all shortlisted candidates are required to bring with them identification documents and original documents that prove they hold or can obtain the right to work in the UK. You can check your eligibility here: https://www.gov.uk/check-uk-visa/y.
Online applications only. Please submit a covering letter and CV ensuring that the IRC reference is included in the filename description of each document uploaded. Please note that failure to address the above criteria or submitted without a covering letter may result in your application not being considered.
If you would like to receive this advert in an alternative format (e.g. large print, Braille, audio or hard copy), are unable to apply online or do not wish to create an account but would still like to apply for a specific role, please contact us by telephone on 01793 867000.
If you have not already logged into iRecruitment (including as a current employee) you will be re-directed to the login/register page by clicking the "apply now" button. If you don't have an account with us, by choosing to register you consent to UK SBS processing the information you provide as part of the Recruitment Service. You can select appropriate job alerts and notifications as part of your account preferences, and you are able to close your account (withdraw consent) should you wish to do so. Before starting your online application and inputting your personal details, please read our Privacy Notice which contains full details of how your information is processed once you have made an application.
AstraZeneca
Cambridge CB4, UK
AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious diseases. We're proud to have a unique workplace culture that inspires innovation and collaboration. We believe in the potential of our people and you’ll develop beyond what you thought possible.
You’ll be in a global pharmaceutical environment but also exposed to strong rigorous academic science. For example, every postdoc has an external academic mentor to ensure we are working and publishing at the highest level in a field. What’s more, you’ll have the support of a leading academic advisor, who’ll provide you with the guidance and knowledge you need to develop your career.
Our Discovery Sciences team operates from truly state-of-the-art centres spanning the UK, US and Sweden. You’ll work with some of the most knowledgeable technological experts in the industry, all collaborating on high-profile drug discovery projects
We offer an exciting opportunity to contribute to advances in the theoretical basis, and application of, representation, reasoning and inference approaches in knowledge graph and other network analysis – focussed on drug discovery.
With high global interest in artificial intelligence (AI) across diverse settings, many challenges remain. In construction and analysis of knowledge graphs and other networks, there is opportunity to transfer learning from other areas of application (e.g. social networks, epidemiology) into the drug discovery setting. Some challenges include: (1) (in)completeness of graphs, (2) bias towards “positive” assertions of relationships, (3) optimal embedding of graph/network topologies into forms for machine learning, with improved “explainability”. This project will advance the science in these areas, with a specific focus on using machine learning for link and property prediction to aid drug target prioritisation and toxicity assessment. Both open and AstraZeneca-specific information sources will be used.
You will be based at AstraZeneca but benefit from academic supervision by a fantastic leader in this field – Prof William Hamilton at McGill University. This project also synergises with other AI-oriented projects ongoing or starting at AstraZeneca, offering a great opportunity to collaborate, fostering creativity and driving broader impact of this research.
We’re looking for a researcher who is highly motivated, with a keen interest in this area of study, and with the skills, self-drive and adaptability to make the most of the opportunity.
You’ll benefit from sharing knowledge and ideas with a global network of other AZ postdocs and PhD students working on machine learning and other areas, in addition to the opportunity to interact closely with full-time researchers in a multi-disciplinary and dynamic drug discovery environment.
Accountabilities and Responsibilities:
Work independently to plan and conduct research in accordance with project aims, developed in close communication with industry and academic supervisors.
Ensure research and results are scientifically robust, well documented and fully reproducible.
Extension of existing, and development of new analytical approaches to prediction and reasoning using knowledge graph/networks, focussed on drug discovery
Proactively engage in knowledge sharing and peer support within the AZ postdoctoral program and development of a researcher network more broadly.
Write-up and publish work in peer-reviewed Journals.
Present findings at national and international meetings, and in AstraZeneca
Requirements and Experience:
Essential
First degree and PhD in a quantitative subject (e.g. Mathematics, computer science, physics, data science, bioinformatics, machine learning/AI).
Research experience in machine learning.
Fluency in spoken and written English
Desirable
PhD level experience in one or more of the following – representation learning, graph theory, network analysis and inference, knowledge graphs and reasoning, GANs or other deep learning methods.
Understanding of biological concepts, data types and databases.
Skills and Capabilities:
Strong mathematical knowledge, especially linear algebra
Programming experience and proficiency with relevant tools (e.g. Python, C++, R) and experience working in a UNIX-based distributed environment (including clusters and cloud) with software version control management (e.g. git).
Experience with standard machine learning libraries (e.g. SciKit Learn, PyTorch)
Data management, querying and manipulation skills– e.g. SQL and NoSQL graph-based approaches (RDF/triplestores and labelled property graphs)
Understanding of network theory concepts, and use of relevant software and algorithms
Collaborative and self-starting attitude
Excellent communication and presentation skills, including experience in communicating across discipline boundaries
This is a 3 year programme. 2 years will be a Fixed Term Contract, with a 1 year extension which will be merit based. The role will be based in Cambridge, UK with a competitive salary on offer. To apply for this position, please click the apply link below
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.
AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of the world’s most serious diseases. We're proud to have a unique workplace culture that inspires innovation and collaboration. We believe in the potential of our people and you’ll develop beyond what you thought possible.
You’ll be in a global pharmaceutical environment but also exposed to strong rigorous academic science. For example, every postdoc has an external academic mentor to ensure we are working and publishing at the highest level in a field. What’s more, you’ll have the support of a leading academic advisor, who’ll provide you with the guidance and knowledge you need to develop your career.
Our Discovery Sciences team operates from truly state-of-the-art centres spanning the UK, US and Sweden. You’ll work with some of the most knowledgeable technological experts in the industry, all collaborating on high-profile drug discovery projects
We offer an exciting opportunity to contribute to advances in the theoretical basis, and application of, representation, reasoning and inference approaches in knowledge graph and other network analysis – focussed on drug discovery.
With high global interest in artificial intelligence (AI) across diverse settings, many challenges remain. In construction and analysis of knowledge graphs and other networks, there is opportunity to transfer learning from other areas of application (e.g. social networks, epidemiology) into the drug discovery setting. Some challenges include: (1) (in)completeness of graphs, (2) bias towards “positive” assertions of relationships, (3) optimal embedding of graph/network topologies into forms for machine learning, with improved “explainability”. This project will advance the science in these areas, with a specific focus on using machine learning for link and property prediction to aid drug target prioritisation and toxicity assessment. Both open and AstraZeneca-specific information sources will be used.
You will be based at AstraZeneca but benefit from academic supervision by a fantastic leader in this field – Prof William Hamilton at McGill University. This project also synergises with other AI-oriented projects ongoing or starting at AstraZeneca, offering a great opportunity to collaborate, fostering creativity and driving broader impact of this research.
We’re looking for a researcher who is highly motivated, with a keen interest in this area of study, and with the skills, self-drive and adaptability to make the most of the opportunity.
You’ll benefit from sharing knowledge and ideas with a global network of other AZ postdocs and PhD students working on machine learning and other areas, in addition to the opportunity to interact closely with full-time researchers in a multi-disciplinary and dynamic drug discovery environment.
Accountabilities and Responsibilities:
Work independently to plan and conduct research in accordance with project aims, developed in close communication with industry and academic supervisors.
Ensure research and results are scientifically robust, well documented and fully reproducible.
Extension of existing, and development of new analytical approaches to prediction and reasoning using knowledge graph/networks, focussed on drug discovery
Proactively engage in knowledge sharing and peer support within the AZ postdoctoral program and development of a researcher network more broadly.
Write-up and publish work in peer-reviewed Journals.
Present findings at national and international meetings, and in AstraZeneca
Requirements and Experience:
Essential
First degree and PhD in a quantitative subject (e.g. Mathematics, computer science, physics, data science, bioinformatics, machine learning/AI).
Research experience in machine learning.
Fluency in spoken and written English
Desirable
PhD level experience in one or more of the following – representation learning, graph theory, network analysis and inference, knowledge graphs and reasoning, GANs or other deep learning methods.
Understanding of biological concepts, data types and databases.
Skills and Capabilities:
Strong mathematical knowledge, especially linear algebra
Programming experience and proficiency with relevant tools (e.g. Python, C++, R) and experience working in a UNIX-based distributed environment (including clusters and cloud) with software version control management (e.g. git).
Experience with standard machine learning libraries (e.g. SciKit Learn, PyTorch)
Data management, querying and manipulation skills– e.g. SQL and NoSQL graph-based approaches (RDF/triplestores and labelled property graphs)
Understanding of network theory concepts, and use of relevant software and algorithms
Collaborative and self-starting attitude
Excellent communication and presentation skills, including experience in communicating across discipline boundaries
This is a 3 year programme. 2 years will be a Fixed Term Contract, with a 1 year extension which will be merit based. The role will be based in Cambridge, UK with a competitive salary on offer. To apply for this position, please click the apply link below
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law.
