20 Artificial Intelligence jobs

Rovco’s mission is to change the way the world surveys subsea and we are becoming recognised as a global leader in subsea 3D vision and applied AI. We are a fast-growing subsea robotics company focused in the renewables and offshore decommissioning sectors. We are advancing the state of the art in subsea robotics by developing the technology for live 3D vision and machine learning based data analysis. We’re based in Bristol, which is regularly praised as one of the top places to live. Bristol is a culturally vibrant city with great transport links without the expense of London life. The growth of Artificial Intelligence opens up unique opportunities in subsea research and we are looking for people who are passionate about experimenting, testing, developing and deploying new concepts. Are you an individual that: Wants to make a difference in a fast-growing environment Wants to work with talented and innovation focused minds Has a creative approach to solve technical challenges Has an interest in discovering the offshore and renewables industry Is interested and experienced in machine learning, artificial intelligence, computer vision Is a passionate technologist with impressive programming abilities. Then please read more about the role below. The Role We’re looking for bright engineers ideally with at few years working experience upwards to join our R&D Team. The successful candidate will play a key part in improving our core product and investigating new applications of ML and applied AI. This is an excellent opportunity for those who have strong programming capability and a deep interest in innovative use of AI. You would build subject matter expertise in your area and stay up to date on technological developments. Design, research, re-engineer, prototype, build, implement, integrate, test and deliver computer vision and machine learning architecture/technology. REQUIREMENTS Candidate profile Experience with one or more general purpose programming languages including but not limited to: C/C++, Python or JavaScript Strong background in Deep Learning and Computer Vision. Experience in applying deep learning in frameworks like Tensorflow to real data and real problems. Understand technical challenges and devise strategies to overcome them Have demonstrable knowledge of AI techniques You have achieved excellent academic results from a leading university or can demonstrate some serious skills. You want a career where your creative abilities will make a difference to the world of technology and be part of an impressive R&D environment. You should show a passion for computer vision, machine learning, artificial intelligence or deep neural networks and follow the latest developments in these rapidly evolving fields Experience with computer vision, in areas such as advanced image processing, feature and object detection or face recognition Desirable Skills and Experience Comfortable using the command line Firm grasp of the fundamentals of Linear algebra Python/C++ coding skills Experience developing AI Rounded knowledge of Machine learning algorithms (clustering, classification, pre-processing data etc.) Experience using ML libraries, such as scikit-learn, caret, mlr, mllib Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, and Keras. Permanent and unrestricted right to work and remain in the UK Writing and testing production code, working in teams. Evidence of developing reasonable complex software from scratch, or leading/architecting development (in contrast to just working on existing code bases following other’s direction) Nice to haves PhD in relevant area Developing on linux, OpenCV Experience with object detection/image segmentation SLAM – ideally vision based, multi-view geometry, 3D reconstruction, SFM, Experience with camera calibration, sensor fusion – e.g. Kalman filters, perhaps visual inertial odometry CUDA programming experience 3D visualisation experience Web development experience, e.g. web apps for visualisation or using cloud computing for data processing. Public work you can point to – papers, Github, shipped software etc. Hands-on robotics (particularly field robotics) or embedded systems experience. BENEFITS Relaxed, R&D environment with a mentorship rather than management style Be a part of a rapidly growing and diverse company Opportunity to work on an innovative idea in the renewables and decommissioning industry using cutting edge technology Competitive salary 25 days holiday plus bank holidays Generous pension scheme In-house Gym Sponsorship to attend relevant worldwide conferences and trainings Freedom to come up with new ideas Great working environment in central Bristol Flexible working hours

Data Engineer, required to join a dynamic Machine Learning Tech start-up, whose main expertise are in developing bigdata analytics and AI algorithms based on finance analysis.  The Data Engineer main goal is to optimise the performance of the companys big data ecosystem. In doing so, some of the responsibilities include writing complex queries, run ETL on top of big datasets and create big data warehouses that can be used for reporting or analysis by data scientists.  Technical Skills Google Cloud (GCP) / AWS Hadoop MapReduce Hive PIG Data Streaming NoSQL SQL Programming DashDB, MySQL, MongoDB, Cassandra Excellent opportunity to join a growing firm who are going placed! Contact:  Sandeep Mangat

As the Data Engineer you'll need experience with; Python/Java, ETL, Hadoop and Cloud Deployment (Google or AWS). You'll be joining a young, dynamic Machine Learning Tech start-up, who specialise in developing big–data analytics and artificial-intelligence algorithms based on behavioural-finance analysis (FinTech).   Working as the Data Engineer you'll prepare the big data infrastructure to be analysed by Data Scientists. You should be a capable Data Engineer who can design, build, integrate data from various resources, and manage big data.   In addition you should also be able to write complex queries on that, make sure it is easily accessible, works smoothly, and your goal is optimising the performance of their company’s big data ecosystem. You will also run some ETL on top of big datasets and create big data warehouses that can be used for reporting or analysis by data scientists.   If you're a Data Engineer who's keen to find out more, please apply now!   Contact:   Luke Hunt

Artefact (formerly Artefact-NetBooster SA) is a digital marketing agency built on the perfect union of marketers and engineers. The agency works with the largest global brands to redefine the future of customer experience through new technologies. The company has 25 offices across 17 countries, with 1000+ employees delivering three service offers: Data Consulting, Digital Marketing Expertise and Technology Development (Big Data and Artificial Intelligence). Artefact was awarded the most innovative agency of 2017. Over 600 clients, including 100+ blue chip clients such as AccorHotels, Orange, Carrefour, Emirates and Monoprix, rely on the agency’s profound marketing experience. Artefact, founded by three alumni of the renowned French Engineering School Polytechnique, Vincent Luciani, Philippe Rolet and Guillaume de Roquemaurel, has sustained a steady growth rate since its creation in 2015 and has multiplied its turnover threefold in 2016. Artefact is listed on the Euronext Growth Paris Stock Exchange and is one of the largest independent international agency led by media and data experts. What you will be doing: Key responsibilities As a Senior Data Scientist Engineer, your role will encompass: Leading  and conducting ambitious projects in the transformation of clients through data Having a contributor role in raising the level of competencies of the data science team Harnessing the expertise from the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department You’ll also participate in international projects. Business travel is something you enjoy! Among your responsibilities as Senior Data Scientist Engineer, you will be responsible for: Leading data projects Managing the resources on your projects to ensure challenges and skills are well match Securing delivery on your projects Communicating the successes of your projects among the company Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring Being a great tech role model Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives Researching and developing new technical approaches to address problems efficiently Sharing best practices and contributing to Artefact’s institutional knowledge Embodying Artefact’s values and inspiring others to do the same Qualifications: Education & experience required A Master’s degree in machine learning, mathematics, computer science, or related fields 2+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus) Strong experience and knowledge of computer science, data processing, algorithms, and data architecture Experience leading  a technical project in a business context Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact What we are looking for A Doer:  You get things done and inspire your teams to do the same An Analyst: You LOVE data and think every company should take their decisions with facts A Pragmatist:  You have a hacker mindset and always find the quick wins A Mentor:  Your clients and teams naturally seek for advice An Adventurer:  You’re an entrepreneur constantly looking for problems to solve Why you should join us Artefact is the place to be:  Come and build the future of marketing Progress:  Every day offers new challenges and new opportunities to learn Culture: Join the best team you could ever imagine Entrepreneurship:  You will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry! Come join us!

AstraZeneca’s Innovative Medicines & Early Development organisation (IMED) is seeking a leader who will position data, AI, digital and hypothesis free discovery at the heart of drug discovery and development.  We are looking for a talented individual to come in as the most senior IMED Data Science leader to drive and shape this change. This is an unique role with responsibility for creating and maintaining a sustainable group to support our ongoing growth and the rapidly changing drug discovery and development pathway. The Head of IMED Data Science is accountable for building a leading AI platform including knowledge graphs and defining the bioinformatics expertise critical to the support of our therapy areas and genomics initiative. The successful individual is likely to have proven expertise in defining data strategies and delivering capabilities covering: data generation, management & use data mining artificial intelligence & cognitive computing bioinformatics mathematical and computational methodological expertise The jobholder is responsible for providing internal and external scientific, technological, computational expertise and strategic thinking for drug discovery & development programmes, operational and business problems to enhance the utilization and exploitation of data & analytics in evidence-based decision making.  The jobholder is accountable for the initial evaluation of the advances but also the solution delivery to the organisation to ensure true business benefit.  The role will need to establish a cross IMED data strategy including the organisation of key data types and the standardisation and deployment of core metadata and masterdata standards defining these data types, aligned, where appropriate, with wider Science, Enterprise and external data standards and ontologies.  The role will need to establish and operate the appropriate access, retention, privacy and use controls around IMED data.  In addition, a data quality framework for adherence across IMED processes, involving data generation and processing will need to be established. The role is accountable for driving the identification, development and implementation of cutting-edge advances in the various fields of data science, AI, Machine Learning and Knowledge Management.  The role is also accountable for recruiting, developing and integrating expertise to support these activities on a global basis within IMED and will have well-recognised external presence in at least one domain. The job holder must have credible and wide-ranging external profile and ability to attract and retain talent in this extremely niche and highly competitive area.  The pace of innovation in data and analytics is substantial, and the job holder is responsible for ideation and execution of innovative projects that drive significant value into the IMED and broader AZ organisation.  To that end the successful candidate must be adept at forging collaborative relationships and integrating data strategies across all areas of IMED, IT and wider AZ organisation.  Accountabilities Reporting to the EVP, IMED and Business Development, the IMED Head of Data Science and Artificial Intelligence will be accountable for: Set the direction for the IMED from a data perspective as the senior most Data Scientist Sit on the IMED Leadership Team and reports directly to EVP, IMED and Global Business Development Direct artificial intelligence and machine learning approaches that aid our scientific and clinical problem solving Define an IMED data strategy that encompasses data vision, engineering, process architecture, ontology, analytical platforms and transfer/reinforcement frameworks. Evaluation of internal and external technological advances steering solution delivery to the organisation to ensure true business benefit Collaborate, influence and learn from non-IMED science and IT teams in the delivery of data science Collaborate with Science IT in the delivery of D & A solutions, Data Operation services and ensuring deployed information architecture is in line with IMED data standards and requirements Build a strategic data science network crossing leading external institutes and influencing technological innovation towards IMED value Grow and develop a team of talented data science/data governance hires - attract and retain top-tier talent in statistics, informatics, mathematics, data mining, data sciences and computational sciences. Leads the IMED Data Science Centre of Excellence, and is ‘functional’ lead of data scientists resident in other IMED areas, ensuring functional excellence practices for the data science & bioinformatic staff in the IMED who represent a niche and highly difficult group of experts to attract and retain Develop the IMED data governance approach alongside the wider AZ requirements Work with IMED leaders to ensure that resource and expertise are appropriately deployed to provide maximal impact to the business across multiple areas Lead and project manage change initiatives relating to new approaches and methodologies. Contribute to enterprise-wide collaborations Skills and Knowledge  Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, physics, computer science, OR a science field with direct statistics application) Reasonable industry experience in data science and machine learning, 5+ years of industry data strategies, architectures, standards and business control of data Credible and wide-ranging external profile.  Strong awareness of and understanding of R&D business priorities, with the vision and ability to apply new computational and technological methodologies and approaches to solve scientific problems, operational and business problems in AZ 4+ years of experience managing data science teams, incl. managing/grooming managers beneath you 3+ years of experience partnering with executive staff on data topics Evidence of successfully scoping, delivering and selling data strategies in a way that shifts the agenda of a large organization Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling Extensive experience of deep learning and natural language processing techniques Extensive experience of FAIR data practices and structured and unstructured infrastructure Extensive experience in the Biopharmaceutical or other relevant Healthcare industry, working in Informatics or related discipline, with proven record of delivery Broad and comprehensive understanding of drug discovery & development, external data sources and methodologies for the most up to date approaches for evidence generation For more information about the position please contact the IMED Talent Scout, Tarquin Bennett-Coles on tarquin.bennett-coles@astrazeneca.com with your application no later than January 30th, 2019 . For more information about life in Gothenburg visit www.movetogothenburg.com . We aim to be flexible, responsive, open and honest and look for people from companies who share our collaborative spirit and high scientific standards. 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.

Artefact (formerly Artefact-NetBooster SA) is a digital marketing agency built on the perfect union of marketers and engineers. The agency works with the largest global brands to redefine the future of customer experience through new technologies. The company has 25 offices across 17 countries, with 1000+ employees delivering three service offers: Data Consulting, Digital Marketing Expertise and Technology Development (Big Data and Artificial Intelligence). Artefact was awarded the most innovative agency of 2017. Over 600 clients, including 100+ blue chip clients such as AccorHotels, Orange, Carrefour, Emirates, Deutsche Telekom and Monoprix, rely on the agency’s profound marketing experience. Artefact, founded by three alumni of the renowned French Engineering School Polytechnique, Vincent Luciani, Philippe Rolet and Guillaume de Roquemaurel, has sustained a steady growth rate since its creation in 2015 and has multiplied its turnover threefold in 2016. Artefact is listed on the Euronext Growth Paris Stock Exchange. With its two local brands metapeople in Germany and 4Ps Marketing in the UK, Artefact is one of the largest independent international agency led by media and data experts. What you will be doing: Key responsibilities As a Manager Data Engineer, your role will encompass: Building the vision for the Data Engineers of the company and managing the Data Engineering team in a day to day role Playing a preponderant role in raising the level of competencies of the Data Engineering team Leading ambitious projects in the transformation of clients through data Harnessing the expertise from the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients Developing privileged relationships with our clients’ C-level executives, using your technical abilities to assist in the transformation of their marketing department, and ensuring that Artefact is their preferred partner in this endeavour Among your responsibilities as Manager Data Engineer, you will be responsible for: Leading data projects Managing the resources on your projects to ensure challenges and skills are well match Securing delivery on your projects Promoting the Division’s brand, communicating its successes and results at country level (ex: through events and PR) Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs Developing Artefact’s technical expertise Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives Researching and developing new technical approaches to address problems efficiently Working with Artefact’s partners to understand and leverage the latest technologies Sharing best practices and contributing to Artefact’s institutional knowledge Being a great tech manager Leading by example, embodying Artefact’s values and inspiring others to do the same Caring for the happiness of your team whilst guiding them to be the best they can be, ensuring work is delivered to a high standard and providing feedback and mentoring Knowing the role of a manager in a team’s success Qualifications: Education & experience required A Master’s degree in machine learning, mathematics, computer science, or related fields 3+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus) Strong experience and knowledge of data processing, data modeling, algorithms, and data architecture Experience managing a technical project in a business context Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritize an approach for maximum impact What we are looking for A Doer:  You get things done and inspire your teams to do the same An Analyst:  You LOVE data and think every company should take their decisions with facts A Pragmatist:  You have a hacker mindset and always find the quick wins A Mentor:  Your clients and teams naturally seek for advice An Adventurer:  You’re an entrepreneur constantly looking for problems to solve Why you should join us Artefact is the place to be: Come and build the future of marketing Progress:  Every day offers new challenges and new opportunities to learn Culture:  Join the best team you could ever imagine Entrepreneurship:  You will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry! Come join us!

Artefact (formerly Artefact-NetBooster SA) is a digital marketing agency built on the perfect union of marketers and engineers. The agency works with the largest global brands to redefine the future of customer experience through new technologies. The company has 25 offices across 17 countries, with 1000+ employees delivering three service offers: Data Consulting, Digital Marketing Expertise and Technology Development (Big Data and Artificial Intelligence). Artefact was awarded the most innovative agency of 2017. Over 600 clients, including 100+ blue chip clients such as AccorHotels, Orange, Carrefour, Emirates, Deutsche Telekom and Monoprix, rely on the agency’s profound marketing experience. Artefact, founded by three alumni of the renowned French Engineering School Polytechnique, Vincent Luciani, Philippe Rolet and Guillaume de Roquemaurel, has sustained a steady growth rate since its creation in 2015 and has multiplied its turnover threefold in 2016. Artefact is listed on the Euronext Growth Paris Stock Exchange. With its two local brands metapeople in Germany and 4Ps Marketing in the UK, Artefact is one of the largest independent international agency led by media and data experts. What you will be doing: Key responsibilities As a Senior Data Scientist Engineer, your role will encompass: Leading  and conducting ambitious projects in the transformation of clients through data Having a contributor role in raising the level of competencies of the data science team Harnessing the expertise from the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department You’ll also participate in international projects. Business travel is something you enjoy! Among your responsibilities as Senior Data Scientist Engineer, you will be responsible for: Leading data projects Managing the resources on your projects to ensure challenges and skills are well match Securing delivery on your projects Communicating the successes of your projects among the company Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs Caring for the happiness of the team, ensuring work is delivered to a high standard and providing feedback and mentoring Being a great tech role model Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives Researching and developing new technical approaches to address problems efficiently Sharing best practices and contributing to Artefact’s institutional knowledge Embodying Artefact’s values and inspiring others to do the same Qualifications: Education & experience required A Master’s degree in machine learning, mathematics, computer science, or related fields 2+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus) Strong experience and knowledge of computer science, data processing, algorithms, and data architecture Experience leading  a technical project in a business context Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact What we are looking for A Doer:  You get things done and inspire your teams to do the same An Analyst:   Y ou LOVE data and think every company should take their decisions with facts A Pragmatist:  You have a hacker mindset and always find the quick wins A Mentor:  Your clients and teams naturally seek for advice An Adventurer:   You’re an entrepreneur constantly looking for problems to solve Why you should join us Artefact is the place to be:   Come and build the future of marketing Progress:  Every day offers new challenges and new opportunities to learn Culture:  Join the best team you could ever imagine Entrepreneurship:   You will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry! Come join us! HOW TO APPLYSTEP   1 We would love to hear from you! Please submit your resume and motivation through our form and you hear back from our recruiters.STEP   2 Our interviews take place in three to five rounds depending on the level of seniority. They test the structural, analytical and synthesis of candidates through written case (only intern and junior) and business cases (all candidates).STEP   3 Do you have a natural fit with the team and all the expertise, ambition and energy that is needed to join Artefact?  

Artefact (formerly Artefact-NetBooster SA) is a digital marketing agency built on the perfect union of marketers and engineers. The agency works with the largest global brands to redefine the future of customer experience through new technologies. The company has 25 offices across 17 countries, with 1000+ employees delivering three service offers : Data Consulting, Digital Marketing Expertise and Technology Development (Big Data and Artificial Intelligence). Artefact was awarded the most innovative agency of 2017. Over 600 clients, including 100+ blue chip clients such as AccorHotels, Orange, Carrefour, Emirates, Deutsche Telekom and Monoprix, rely on the agency’s profound marketing experience. Artefact, founded by three alumni of the renowned French Engineering School Polytechnique, Vincent Luciani, Philippe Rolet and Guillaume de Roquemaurel, has sustained a steady growth rate since its creation in 2015 and has multiplied its turnover threefold in 2016. Artefact is listed on the Euronext Growth Paris Stock Exchange. With its two local brands Metapeople in Germany and 4Ps Marketing in the UK, Artefact is one of the largest independent international agency led by media and data experts. We’re looking for talented and highly motivated Consultants with a passion for technology and problem solving to join our team and work on a number of applied data science problems.   What you will be doing The senior consultant will manage all these actions : Definition of the strategy to be implemented to meet customer objectives, Identify the appropriate tools and make recommendations to clients; Implementation of relevant tools (datalake, DMP, etc…) Execution of campaigns, data enrichment, creation of content related to the customer journey, measurement and management of campaigns. What we are looking for Graduated from Business school or Engineering, the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism. We are looking for profiles with the double hat “business” and “data”, with at least 3 years of experience, ideally in a digital marketing consulting firm (agency, advertiser, advertising network, media, cross-functional missions), and in the use of BI tools or data analysis. With a good technical knowledge, you already have a first understanding of digital technologies (Tracking, Machine Learning, RTB, Big Data, Platform as a Service,…). Why you should join us Artefact is the place to be:   C ome and build the future of marketing Progress:  Every day offers new challenges and new opportunities to learn Culture:  Join the best team you could ever imagine Entrepreneurship:   Y ou will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!   Come join us!

Talented Data Engineer required to join an award-winning VC backed advanced Ai start-up platform in Central London. Having recently raised £35m in funding, this highly ambitious and disruptive company is one of the market leaders in both InsureTech and Artificial Intelligence and as result is experiencing an explosive expansion. As a Data Engineer you will be exposed to cutting-edge technologies, working in a thriving environment alongside some of the top researches and engineers in AI.  Key Responsibilities  Working cooperatively with engineers, data scientists and researchers  Design/build/maintain data pipelines The ideal candidate Highly ambitious and motivated Strong knowledge of one or more database solutions A minimum of 2 years working as a software engineer in a commercial setting Good understanding of Python Able to handle large volumes, unstructured data This is a brilliant opportunity to come on board and make a real world impact on a deep engineering challenge. Send your CV or call today for more information on this Data Engineer role. Propel are the UK's largest independent provider of permanent and contract recruitment services to the global digital economy, specialising in commercial, marketing, technical and creative talent. Services advertised by Propel are those of an Agency and/or an Employment Business. Please be aware that we receive a high volume of applications for our roles, many from people who meet or exceed the requirements. Whilst we try to respond to as many applicants as possible, you can assume that you have not been selected for interview if you do not hear from us within 14 days.

Artefact (formerly Artefact-NetBooster SA) is a digital marketing agency built on the perfect union of marketers and engineers. The agency works with the largest global brands to redefine the future of customer experience through new technologies. The company has 25 offices across 17 countries, with 1000+ employees delivering three service offers : Data Consulting, Digital Marketing Expertise and Technology Development (Big Data and Artificial Intelligence). Artefact was awarded the most innovative agency of 2017. Over 600 clients, including 100+ blue chip clients such as AccorHotels, Orange, Carrefour, Emirates, and Monoprix, rely on the agency’s profound marketing experience. Artefact, founded by three alumni of the renowned French Engineering School Polytechnique, Vincent Luciani, Philippe Rolet and Guillaume de Roquemaurel, has sustained a steady growth rate since its creation in 2015 and has multiplied its turnover threefold in 2016. Artefact is listed on the Euronext Growth Paris Stock Exchange and is one of the largest independent international agency led by media and data experts. We’re looking for talented and highly motivated interns with a passion for technology and problem solving to join our team and work on a number of applied data science problems. What you will be doing You will join our Data Marketing Consulting team which helps clients transform and improve their marketing strategy by applying advanced analytics to generate value-creating insights from big data and artificial intelligence. Key responsibilities As a Data Scientist Intern, your role will encompass: Conducting ambitious projects in the transformation of clients through data Collaborating with the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients Developing privileged relationships with our clients, using your technical abilities to assist in the transformation of their marketing department Among your responsibilities as a Data Scientist Intern, you will be responsible for: Performing data projects Securing delivery on your projects Communicating your work and achievements among the team Working closely with your Consulting counterpart to build and maintain strong relationships with your clients and best understand their needs Ensuring that your solutions are bringing values to the client problematic Being a good team player, knowing your role and responsibility in the global ambition Being a great tech person Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives Researching and developing new technical approaches to address problems efficiently Sharing best practices and contributing to Artefact’s institutional knowledge Embodying Artefact’s values and inspiring others to do the same   What we are looking for Currently pursuing a BA/BS or MA/MS in machine learning, mathematics, computer science, or related fields (computer science, statistics, engineering, economics, or a related field) from an accredited college or university. 0-1 years of related experience supporting engineering, information technology or other technical operations. A first experience (internship, school project, Junior Entreprise, etc.) in consulting and/or data ecosystem would be a plus. Good understanding of the digital and data ecosystem and its technologies: web analytics, programmatic, DMP, Datalake, dataviz, data science, etc. Strong interest in marketing & business issues Intellectual curiosity, along with on excellent problem-solving skill, including the ability to disaggregate issues, identify root causes and recommend solutions A practical and analytical mind-set, you will be passionate about the creation of bespoke solutions for our clients Continuously striving for high performance in all you do Good Communication skills Ideal candidates should be passionate about using business acumen along with big data and analytics to address real-world problems and drive significant change.   Why you should join us Artefact is the place to be: Come and build the future of marketing Progress:  Every day offers new challenges and new opportunities to learn Culture:  Join the best team you could ever imagine Entrepreneurship: You will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!   Come join us!

Vertex Solutions are currently working with a global banking client in London. They are working on multiple key projects and are looking for 4 x outstanding Data Scientist's to join the team asap.  Data Scientist | AI / Machine Learning / NLP | Python | R |Programming | Big Data | Analytics You will play an instrumental part in delivering the data science function of the business, working closely with various stakeholders and liaising with the engineering teams closely.  You will be leveraging data from various sources and enhancing processes to genuinely help their customers benefit from the organisation.  Strong Python skills are a must for the role, alongside Machine Learning techniques, supervised/unsupervised, SQL, and Big Data expertise.  This will be a long-term assignment for the right individual, minimum 6 months with a strong possibility of further extensions.  Financial services experience is ideal within a retail/digital/Fintech environment, however we're open to candidates from different sectors.  Flexible budget and quick onboarding process! For further information and immediate consideration for interview, please don't hesitate to contact Lewis Forsyth on l.forsyth @ vertex-solutions.com.

Artefact (formerly Artefact-NetBooster SA) is a digital marketing agency built on the perfect union of marketers and engineers. The agency works with the largest global brands to redefine the future of customer experience through new technologies. The company has 25 offices across 17 countries, with 1000+ employees delivering three service offers : Data Consulting, Digital Marketing Expertise and Technology Development (Big Data and Artificial Intelligence). Artefact was awarded the most innovative agency of 2017. Over 600 clients, including 100+ blue chip clients such as AccorHotels, Orange, Carrefour, Emirates, Deutsche Telekom and Monoprix, rely on the agency’s profound marketing experience. Artefact, founded by three alumni of the renowned French Engineering School Polytechnique, Vincent Luciani, Philippe Rolet and Guillaume de Roquemaurel, has sustained a steady growth rate since its creation in 2015 and has multiplied its turnover threefold in 2016. Artefact is listed on the Euronext Growth Paris Stock Exchange and is one of the largest independent international agency led by media and data experts. We’re looking for talented and highly motivated people with a passion for technology and problem solving to join our team and work on a number of applied data science problems. What you will be doing With the support of a senior consultant, you will have the opportunity to carry out various projects independently and in collaboration with Artefact’s teams of experts: Strategy, Activation, Analytics, Data, Creation. At the agency or at the client’s premises, the consultant is a true project manager. The diversity of your missions will allow you to be as close as possible to customer issues, to acquire a real knowledge of data and to quickly develop your skills. Your missions will include: define the needs of its customers by conducting interviews with customer teams and multiple technology partners, to help build, formulate and present strategic data recommendations for the client, to organize and conduct workshops and training to ensure the success of its projects, to develop and present data recommendations to clients, to imagine and present new support proposals to convince our future customers, to participate in training courses to acquire the technical knowledge necessary for its mission as an advisor and to keep abreast of the latest technological innovations on the market, and finally to participate in the writing of content on transversal subjects (e.g. publication of research works, writing articles or business cases).   What we are looking for Graduated from a business school (desired), the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism. A first knowledge of digital marketing (within a start-up, agency, etc.) or consulting (Strategy, Management, IS), will obviously be valued.   Why you should join us Artefact is the place to be:  come and build the future of marketing Progress:  every day offers new challenges and new opportunities to learn Culture:  join the best team you could ever imagine Entrepreneurship:  you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!   Come join us!

Artefact (formerly Artefact-NetBooster SA) is a digital marketing agency built on the perfect union of marketers and engineers. The agency works with the largest global brands to redefine the future of customer experience through new technologies. The company has 25 offices across 17 countries, with 1000+ employees delivering three service offers : Data Consulting, Digital Marketing Expertise and Technology Development (Big Data and Artificial Intelligence). Artefact was awarded the most innovative agency of 2017. Over 600 clients, including 100+ blue chip clients such as AccorHotels, Orange, Carrefour, Emirates, and Monoprix, rely on the agency’s profound marketing experience. Artefact, founded by three alumni of the renowned French Engineering School Polytechnique, Vincent Luciani, Philippe Rolet and Guillaume de Roquemaurel, has sustained a steady growth rate since its creation in 2015 and has multiplied its turnover threefold in 2016. Artefact is listed on the Euronext Growth Paris Stock Exchange and is one of the largest independent international agency led by media and data experts. What you will be doing: Key responsibilities Reporting directly to the country Head of data & Technology, your role will encompass: Building the vision for the Data Science of the company and managing the data science team  in a day to day role Playing a preponderant role in raising the level of competencies of the data science team Leading  ambitious projects in the transformation of clients through data Harnessing the expertise from the other Divisions (Activation, Creativity, and Strategy) to provide comprehensive services to your clients Developing privileged relationships with our clients’ C-level executives, using your technical abilities to assist in the transformation of their marketing department, and ensuring that Artefact/NetBooster is their preferred partner in this endeavour Among your responsibilities as Manager Data Scientist, you will be responsible for: Managing the country’s Data team Managing the resources to ensure challenges and skills are well matched Ensuring each individual’s continuous development and well-being within the team Securing delivery on client projects Promoting the Division’s brand, communicating its successes and results at country level (ex: through events and PR) Working with the managers of Consulting to build and maintain strong relationships with your clients and best understand their strategic and tactical needs Developing Artefact’s technical expertise Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives Researching and developing new technical approaches to address problems efficiently Working with Artefact’s partners to understand and leverage the latest technologies Sharing best practices and contributing to Artefact’s institutional knowledge Being a great tech manager Leading by example, embodying Artefact’s values and inspiring others to do the same Caring for the happiness of your team whilst guiding them to be the best they can be, ensuring work is delivered to a high standard and providing feedback and mentoring Knowing the role of a manager in a team’s success Qualifications: Education & experience required A Master’s degree in machine learning, mathematics, computer science, or related fields 3+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a consumer marketing context (experience in the web industry is a plus) Strong experience and knowledge of data processing, data modeling, algorithms, and data architecture Experience managing a technical project in a business context Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritise an approach for maximum impact What we are looking for A Doer:  you get things done and inspire your teams to do the same An Analyst:  you LOVE data and think every company should take their decisions with facts A Pragmatist:  you have a hacker mindset and always find the quick wins A Mentor:  your clients and teams naturally seek for advice An Adventurer:  you’re an entrepreneur constantly looking for problems to solve Why you should join us Artefact is the place to be:  come and build the future of marketing Progress:  every day offers new challenges and new opportunities to learn Culture:  join the best team you could ever imagine Entrepreneurship:  you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!   Come join us! HOW TO APPLYSTEP   1 We would love to hear from you! Please submit your resume and motivation through our form and you hear back from our recruiters.STEP   2 Our interviews take place in three to five rounds depending on the level of seniority. They test the structural, analytical and synthesis of candidates through written case (only intern and junior) and business cases (all candidates).STEP   3 Do you have a natural fit with the team and all the expertise, ambition and energy that is needed to join Artefact?  

As the Data Engineer you'll join a young, dynamic Machine Learning Tech start-up, which specialises in developing big–data analytics and artificial-intelligence algorithms based on behavioural-finance analysis. As the Data Engineer you'll prepare the big data infrastructure to be analysed by Data Scientists. You'll need to be comfortable working with Java (and/or Python) in order to design, build, integrate data from various resources and manage big data. In addition you should also be able to write complex queries, making sure it is easily accessible, works smoothly and your goal is to optimise the performance of their big data ecosystem.  You will also run some ETL (Extract, Transform and Load) on top of big datasets and create big data warehouses that can be used for reporting or analysis by data scientists.  Must be proficient in Google Cloud Platform or AWS  Data Engineer technologies: Java or Python GCP/AWS  Hadoop  MapReduce  SQL  Experience with Data Streaming  If you're a Data Engineer who's keen to find out more, please apply now! Contact:  Luke Hunt

Big Data Engineer, Spark/Scala Machine Learning & AI Products, RWAS Technology You will join a team of highly talented Engineers and Data Scientists, with your main focus being to write highly performant and scalable code that will run on top of our Big Data platform (Spark/Hive/Impala/Hadoop). As such, you will work closely with the Data Science team to support them in the ETL process (including the cohorts building efforts). A typical day might include: Working in a cross-functional team Building scalable and high-performant code Mentoring less experienced colleagues within the team Implementing ETL and Feature Extractions pipelines Monitoring cluster (Spark/Hadoop) performance Working in an Agile Environment Refactoring and moving our current libraries and scripts to Scala/Java Enforcing coding standards and best practices Working in a geographically dispersed team Working in an environment with a significant number of unknowns – both technically and functionally. Our ideal candidate: Experience BSc or MSc in Computer Science or related field Strong analytical and problem-solving skills with personal interest in subjects such as math/statistics, machine learning and AI Solid knowledge of data structures and algorithms Experience working in an Agile environment using Test Driven Development (TDD) and Continuous Integration (CI) Experience refactoring code with scale and production in mind. Our ideal candidate: Tech Skills Proficient in Scala, Java and SQL Strong experience with Apache Spark, Hive/Impala and HDFS Familiar with Python, Unix/Linux, Git, Jenkins, JUnit and ScalaTest Experience with integration of data from multiple data sources Experience with NoSQL databases, such as HBase, Cassandra, MongoDB Experience with any of the following distributions of Hadoop - Cloudera/MapR/Hortonworks. Bonus points for experience with: Other functional Languages such as Haskell and Clojure Big Data ML toolkits such as Mahout, SparkML and H2O Apache Kafka, Apache Ignite and Druid Container technologies such as Docker Cloud Platforms technologies such as DCOS/Marathon/Apache Mesos, Kubernetes and Apache Brooklyn. The Team This high-profile team work on ground-breaking problems in health outcomes across disease areas including Ophthalmology, Oncology, Neurology, Chronic diseases (such as diabetes), and a variety of very rare conditions. The Predictive Analytics team works hand-in-hand with statisticians, epidemiologists and disease area experts across the wider global RWAS team, leveraging a vast variety of anonymous patient-level information. The data encompasses IQVIA’s access to over 530 million anonymised patients as well as bespoke, custom partnerships with healthcare providers and payers. We are looking for a creative, innovative, intellectually-curious and entrepreneurial Big Data Software Engineer to join our RWAS Technology division in London, Kings Cross. This is an exciting opportunity to be part of one of the world's leading Real World Evidence-based teams, working to help our clients answer specific questions globally, make more informed decisions and deliver results. The Business Unit: Real-World & Analytics Solutions (RWAS) Technology “Big Data” is changing the way that the healthcare world operates and, now more than ever, the key to better patient outcomes is through better use of technology, seamlessly integrated information and analytics. Our Predictive Analytics team within the Real-World & Analytics Solutions (RWAS) Technology division is a fast-growing group of collaborative, enthusiastic, and entrepreneurial individuals. In our quest to harness the value of Real World Evidence (RWE), we are at the centre of IQVIA’s pursuit of machine learning and cutting-edge statistical methods to advance healthcare. Our efforts improve retrospective clinical studies, under-diagnosis of rare diseases, personalized treatment response profiles, disease progression predictions, and clinical decision-support tools.  IQVIA is a strong advocate of diversity and inclusion in the workplace.  We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success.  We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential.

We are looking to hire exceptional machine learning engineers to our team of highly talented scientists and engineers. You will be contributing to our research work and developing software for our AI platform and agents to deliver completely new solutions to gaming, simulation, robotics, autonomous vehicles, and beyond. Your responsibilities Contribute to Machine Learning research Formulate and run experiments and improve algorithms based on results Design and develop high quality software to implement research results, working in an Agile team Review documents, designs and code done by others and provide constructive feedback Continuously develop your own Machine Learning and engineering skills and help others to improve theirs Key qualifications Minimum 3 years of practical experience in software engineering or Machine Learning, and ideally both Strong grasp of both Machine Learning and software engineering fundamentals Deep knowledge of a programming language (e.g. Python, C++, Java or C#); working knowledge of multiple languages Masters degree or higher in Computer Science or Machine Learning, or a similar area, is required What we offer Competitive package to match experience consisting of salary and employee stock options, an energetic and fun start-up environment, a team of exceptionally talented colleagues, a position to shape the future of AI. Location Cambridge, United Kingdom. Candidates must be authorised to work in the UK.

We are hiring exceptional machine learning researchers to join our team of highly talented scientists and engineers.You will develop and customise cutting-edge machine learning algorithms and integrate them to our AI platform and agents, delivering completely new solutions to gaming, simulation, robotics, autonomous vehicles, and beyond.  Responsibilities Contribute to research work and publications the team is working on Resolve problems arising from real-world applications of our technology Develop and run experiments to identify effective solutions Work closely with other researchers and engineers in an Agile team Develop high quality code to turn research findings into working technology   Key qualifications Demonstrable ability to solve theoretical and practical machine learning problems Experience in reinforcement learning, multi-agent systems or probabilistic modelling Ability to understand cutting-edge research papers Ability to write high quality code Experience in numerical programming PhD in relevant area a big plus  What we offer Competitive package to match experience consisting of salary and employee stock options, a private health insurance, an energetic and fun start-up environment, a team of exceptionally talented colleagues, a position to shape the future of AI.   Location Cambridge, United Kingdom. Candidates must be authorised to work in the UK.

Role Overview Artificial Intelligence and Machine Learning (AI & ML) is revolutionising large parts of the financial services industry.. Excelian’s Digital Consulting team is investing heavily in these technologies, and is actively building up a new AI, ML and Analytics Practice – we are therefore looking to hire Data Scientists into our newly-formed London AI & ML team. This will complement our existing Digital Experience, Data Science, Big Data Engineering, Cloud and Grid Computing, and DevOps areas. The new practice is a start-up environment within a large company – you will be conducting analysis, design and development of prototypes and POCs, using cutting-edge techniques, and with major clients. However, we are not alone – there is an active AI community within the broader Luxoft, focussed on other verticals (eg automotive and healthcare). We are interested in hearing from individuals with a strong AI & ML background. Deep Learning and NLP, and associated techniques are of particular interest, as is AI / human interaction. Current Projects Current projects include (among others) : Extraction of information about trades and market features from instant messages and various other channels Analysis and development of predictive analytics for trading in certain markets Development of sector-specific intelligent assistants Capital Optimization Responsibilities Your Responsibilities You will work alongside a strong, global team of individuals with diverse backgrounds and skills in analytics and data science to: Analyse, design and develop AI & ML prototypes and proof of concepts Identify and ingest data sources, whether internally or for clients, and perform feature engineering for integration into models Build analytical data models on ML platforms, to successfully realise client goals. You will assist the practice in: Developing practice thought leadership materials Participating in pre-sales work and client work as necessary Discovering and verifying opportunities for new business Helping to structure work, planning new analyses, translating business questions into analytical projects You will collaborate with business and technology partners to grow and develop the data science practice Skills MUST Your Skills Required: Strong modelling skills in one or more of neural networks, classification, clustering and regression problems, NLP, multivariate analysis (MVA), time series, and similar Hands-on experience applying machine learning techniques using packages such as scikit-learn, TensorFlow, Keras, Theano, and DSSTNE Solid engineering and scripting skills in one or more of Python, R, SAS, Matlab and SPSS Excellent analytical skills Strong communication and presentation skills, both verbal and written. The successful candidates will be expected to communicate effectively with both business and technical teams Desired: Experience in using mainstream languages to acquire, clean, and model large data sets. Experience in visualizing and communicating data using tools such as Qlik, Tableau, or packages d3.js, and Seaborn. Good understanding of sourcing and wrangling data from warehouses, Big Data (e.g. Hadoop, Spark) and other sources using SQL and scripting Your Experience Required: Post-graduate degree in Mathematics, Statistics, Engineering, Computer Science, Computational Statistics, Physics, Operations -Research or other similar quantitative field At least two years of experience in data science, in particular in designing, developing, validating, and deploying predictive models Experience with advanced Machine Learning techniques including neural networks, deep learning, and reinforcement learning, as well as a background in more classic machine learning techniques Desired: Experience in the analysis of large, complex, multi- dimensional data-sets with a variety of analytical methods Experience in projects involving cross-functional teams Languages English: Advanced/Fluent

At PROWLER.io we are combining reinforcement learning, multi-agent learning, probabilistic modelling and state of the art computational tools to develop autonomous decision making agents that learn from and rapidly adapt to their environment. In particular, you will investigate how two or more agents should learn to coordinate with and without communication channels, how to interact with unknown agents in adversarial, friendly and mixed incentive settings. Special focus on assumptions about local observations. We are looking to hire exceptional machine learning researchers to join our team of highly talented scientists and engineers. You will be contributing to our research work and developing software for our AI platform and agents to deliver completely new solutions to domain sectors such as logistics, finance, gaming , autonomous vehicles, and beyond. Our working environment includes catching up with other team members over a delicious breakfast or free Friday lunch, taking a break with a quick chess match or joining a multi-player game on one of our many consoles. Not energetic enough? Use your free membership at the local gym, or take a walk for inspiration at the nearby Cambridge Botanic Gardens. Your responsibilities Contribute to multi-agent systems research Write papers to machine learning/(algorithmic) game theory conferences about research results Review documents, write (and review) code and provide constructive feedback Engage with client projects and deliverables Continuously develop your own machine learning and engineering skills and help others to improve theirs Essential requirements Academic or industrial research experience in reinforcement learning PhD in relevant area Ability to understand cutting-edge research papers Ability to lead the writing of papers in machine learning conferences Willingness to work as part of a team and learn new skills Passion to solve challenging problems Desirable experience or interest: Expert knowledge of multi-agent systems literature Expert knowledge of game theory Knowledge of numerical programming (Python/ NumPy / tensorflow) Advanced degree (MSc, PhD) in relevant area Knowledge of probabilistic modelling techniques What we offer Competitive salary plus employee stock options, opportunities for professional development, private medical and dental insurance, a vibrant start-up environment, and the ability to make a difference to an early-stage company. Our working environment includes catching up with other team members over a delicious breakfast or free Friday lunch, taking a break with a quick chess match or joining a multi-player game on one of our many consoles. Not energetic enough? Use your free membership at the local gym, or take a walk for inspiration at the nearby Cambridge Botanic Gardens. Benefits  : Flexible working  Private health-care and dental cover Company stock options Relocation costs covered Friday team lunches Half-day on the last Friday of the month Weekly games nights Gym membership Cambridge Botanic Garden membership Childcare vouchers About the location Cambridge, United Kingdom.

The CFD Data Scientist will develop technologies to enhance McLaren's CFD process and analytics capability, delivering improved solutions to complex CFD problems for the Aerodynamics department. The role will include close collaboration with CFD R&D engineers and Software developers to integrate solutions that can leverage vast amounts of data to improve McLaren’s process and analytical capabilities.  Role Dimensions:   Part of the CFD Methodology team, reporting to the CFD Methodology Team Leader. This role is predominantly carried out within core hours, though some flexibility in working hours may be needed. This role is predominantly factory based.  Key Relationships:  HPC and CFD Methodology teams. Aerodynamicists. Software and applications team.  Principal Accountabilities:  Modelling: understand the behaviour of complex fluid dynamic systems through data driven modelling. Optimization of process, accuracy, predictive capabilities for complex CFD applications and workflows in collaboration with other members of the CFD R&D Team. AI Control: enacting recommendations through either closed-loop control or human-in-the-loop decision making. Explore new ways of using available CFD and HPC data to improve methodology, result analysis and process.  Leverage collaborations with leading Universities and external partners to transfer and exploit cutting edge machine learning advancements into the McLaren Racing processes and technology. Keep a strong link with the Aerodynamic Development teams, CFD R&D Engineers and the Software development team to develop novel solutions for CFD in the Aerodynamic department.  Knowledge, Skills and Experience:  A post graduate level in Aeronautics dealing with CFD or numerical methods in combination with data driven approaches would be preferred. Alternatively, Mathematics, Computational science, Statistics or other relevant fields with exposure to CFD would be considered Knowledge & experience of relevant machine learning frameworks like TensorFlow or others. Comfortable with working in Linux environment, shell scripting, Java, Python and C++ programming. Desirable:  Experience in combining modelling and data-driven techniques for CFD. Knowledge & experience on CFD software development using high level programming languages. Knowledge of common CFD solvers (CCM+ / Fluent / OpenFoam).  Personal Attributes:  A team player but with the initiative to make own decisions and work with minimal supervision. Self-starter, able to identify requirements independently, then make proposals for solutions. Excellent problem-solving skills and analytical approach, with attention to detail. Good communication skills. Aptitude to learn from others and share knowledge with others.