8 jobs found in Cambridge

AstraZeneca is a global biopharmaceutical business that focuses on the discovery, development and commercialisation of prescription medicines for some of most serious diseases. Our growth platforms are doing deeply well, and the impact of our older products decline is starting to reduce. And, with the potential of our pipeline and new medicines, we can be confident in our ability to sustain growth for years to come and make an even bigger difference to patients around the world. At AstraZeneca, we're proud to have a workplace culture that encourages innovation and teamwork. Our vision of a phenomenal place to work is one in which all our employees are engaged and driven by a clear shared purpose and a compelling strategy; where they are encouraged to perform and develop to their full potential; and where they are supported by the right organisation design, culture, technology and processes. As a Data & Analytics engineer you will support solution development, provide technical leadership, and take responsibility for delivery. You are a data professional with a broad range of knowledge and experience across data & analytics, with significant depth in at least one technical area. You will work almost exclusively with AWS services. You will join a team that has delivered cloud solutions, such as the development of auto-scaling data integration and analytic platform. Similarly, we have built an automated cloud ETL test harness which integrates with our evolving CI/CD processes. We have an exciting pipeline of work, so you might be developing a data hub processing terabytes of clinical trial data, the world’s largest genomics platform, a federated reporting capability, a new tax analytics platform, or improvements to any of our existing analytics solutions. You'll be part of a team of engineers who work closely with IT colleagues in UK, US, Sweden, India and Mexico. We have business partners and team members spread globally, so you would need a collaborative delivery approach to be successful. We prefer to use Agile, but choose the appropriate approach for the project. You will provide technical leadership throughout our software development lifecycle, from the initial development of a technical design based on agreed architecture, right through to service. Do you have a real passion for delivering well engineered data and analytics solutions? Because this will make you stand out from other specialists. If you would like to discuss flexible working or part-time working, we would be happy to hear from you. Key responsibilities Define effective ways of end-to-end deliver of our data and analytics platform, drive visualisation strategy to enable specific insights for better business decisions. Direct a team of data and reporting engineers focused on developing groundbreaking visualisation and computational capabilities for our big data platform. Be hands on within the scrum team on a day-to-day basis, continually inspecting and crafting the backlog in response to the changing business requirements or technical discoveries/POCs. Challenge the norm, and push the team to forget the easy route and go after the impossible. Lead technology processes from concept development to completion of project work you're doing. Desirable technical skills & experience Experience of cloud techniques and tools (we currently use AWS data & analytics services such as S3, SQS, SNS, Redshift, Postgres, Aurora, MySQL, EMR, HIVE, PIG, Spark), Experience of ETL techniques and tools (we currently use Talend for ETL), Experience of visualisation technologies (we are focused on OBIEE, MicroStrategy, Spotfire, Qlik, Power BI), Experience of building scalable high availability analytics solutions, Experience in one or multiple programming languages (we currently use Python, Java, R, JavaScript and SQL), Experience of building unit tests, integration tests, system tests and acceptance tests, Experience in DevOps, using continuous integration and continuous development (we use Jenkins, Nexus, Git), Experience of data analysis – profiling, investigating, interpreting and documenting data structures, Familiarity with data modelling techniques and hands on modelling experience (our relational databases are third normal form and star schema), Agile practices, especially being a SCRUM Master, 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.

We are looking to hire exceptional scientists to join our reinforcement learning team. You will be contributing to our research work and developing algorithms that are both theoretically rigorous, yet scalable to domains approaching real-world complexity.   Your responsibilities Develop novel reinforcement learning algorithms Conduct theoretical analysis of proposed algorithmic solutions Contribute to research work and publications the team is working on Develop and run large-scale experiments to identify effective solutions Work closely with other researchers and engineers in an Agile team Essential skills and experience PhD in Computer Science, Electrical Engineering, or an equivalent degree in a related field Strong background in the fields of reinforcement learning, and/or control theory Strong knowledge of machine learning and artificial intelligence algorithms Publications at top machine learning and robotics conferences, including but not limited to ICML, NeurIPS, AISTATS, UAI, AAAI, ICRA, RSS, IROS, ICLR, IJCAI Publications in high-impact machine learning and robotics journals, including but not limited to JMLR, PAMI, JAIR, IJRR Desired qualifications, skills and experience Experience with any of the following topics is a big plus: Model-based reinforcement learning Variational inference and/or probabilistic modelling Multi-task and/or lifelong learning Experience using MuJoCo and/or OpenAI gym environments Experience with Tensorflow and/or Pytorch libraries Benefits : Flexible working hours 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 The location:   Cambridge, United Kingdom. Candidates must be authorised to work in the UK

At AZ we push the boundaries of science to deliver life-changing medicines. Science and Enabling Units IT actively partners across AZ Business stakeholders to deliver cutting-edge IT capabilities closely aligned with AstraZeneca’s bold ambition - improving the lives of millions of patients across the globe. The ambition of Science and Enabling Units IT is to provide world-class expertise and leadership in technological solutions, enabling the “Best IT for the BioPharma Industry”. We define “best” as agile, fit-for-future capabilities that make it possible for our scientists to discover and develop life-changing medicines. Our goal is to position IT as a strategic-enabler and we do this by focusing on close business partnership, defining and executing business-aligned strategies, and hiring and developing the best IT talent in the industry. Your career at AstraZeneca will allow you to use leading edge technology to roll back the frontiers of science, delivering next-generation solutions, driving transformation as strategic business partners and enabling breakthrough drug discovery. It means a career that’s focused on improving lives across the world – both for our workforce in 90 countries and for the wider global population. You could be implementing state of the art cloud or AI technology, and thinking about the ‘Work and Workforce of the Future’ and how technology will support an even more diverse workforce including robots, the crowd and gig workers. You might be involved with the systems that enable our Legal team to protect the patents on our life-changing medicines. Or you could be capturing the data that enables us to demonstrate we do business in the right way, and continue to push the boundaries for the benefit of our planet and patients. You’ll harness the latest advancements in technology to deliver against this diverse portfolio and develop our capabilities for the future. This will see you working across a variety of exciting business functions and thriving in our diverse team and with a culture of opportunities. What you'll be doing You'll work in Enabling systems IT as a Senior Business Analyst Team Lead. You will have an opportunity to lead change in our financial, HR, Legal and Global Sustainability systems. You will lead a small team of business analysts who work directly with our partners across a wide range of enabling systems. Your team will be focused on a wide range of financial, human resource, legal and global sustainability systems. You will have the opportunity to help continuously improve our ways of working and directly influence the performance and development of our team. As well as leading the Enabling Units BA team, your role will also have a focus on our Finance systems. Finance as a business function have a vision to be “Trusted Partners, Building Value, Leading Change”. They are contributing to the AZ strategy by providing insights to enable clear portfolio and pipeline decisions. They are actively identifying in-market opportunities and driving investment strategy alongside simplifying their financial processes and enhancing productivity. Finance is helping our company to achieve Group Financial Targets by driving financial improvement plans, improving profitability and increasing cash flow. You'll be based in Cambridge, the hub of Science and Technology and will support our Enabling capability across our three core sites in Cambridge UK, Gothenburg Sweden and Gaithersburg US. An idea may start on one site but our organisation is expecting global solutions that scale; on any business case or a project you'll be part of making that happen. In our IT organisation, you will: Lead a small team of experienced Business Analysts (5-10) Be part of a larger team of Business Analysts across Science and Enabling Units Work with your Business Analysts to build out and mature the BA Capability Work with Portfolio leads, Business Engagement teams and Lead Architects to ensure portfolios are aligned to our strategy and will be impactful to our business Understand needs and partner on solutions with the business for the Finance function Partner with wider IT Service/DevOps teams to build sustainable services Strive to be make us more agile in the fast-changing digital landscape You will be part of a leadership team predominantly based in Cambridge A bit about you: The BA role sits at the intersection of people, business and technology. We want someone who can Work independently and deliver value to Finance as a Business Analyst Supplement the above with leading and developing an engaged Business Analysis team that can excel Embed value into what we commit to delivering both at a project and portfolio level Come join our team as a key leader in transforming Business Analysis within IT for Finance and the wider Enabling Units in ways the biopharma industry has never seen. 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.

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 looking to hire Data Engineers to our team. You will work closely with world class Data Scientists, Machine Learning Researchers and Software Engineers. As a Scrum team member you process varied and complex data sets from our customers and other sources, visualising the data, extracting insights and helping solve real-world problems. Your main responsibilities Process, visualise and analyse data, and prepare for use by research and engineering colleagues Automate data processing through scripting and use of tools Work with databases and high performance file systems Develop scripts and software for data processing in production Evaluate and deploy state of the art data processing tools Continuously develop your own engineering skills and help others to improve theirs Key qualifications Passion for processing data and extracting insights from it Experience in working with large and complex data sets Working knowledge of SQL and databases Working knowledge of a programming language, preferably Python; working knowledge of multiple languages beneficial Experience in data warehousing, data pipelines, time series data and/or webscraping is desirable Degree in Computer Science or similar is desirable Experience in working with financial and/or logistics data is a bonus 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. About the location Cambridge, United Kingdom. Candidates must be authorised to work in the UK. 

Working with PROWLER.io offers the opportunity to work with world-leading researchers and engineers on contemporary problems in machine learning, as well as application-driven research. The ML engineering placement is a 3-month programme, designed for those at MPhil or PhD Level who have Machine Learning knowledge and practical Python programming experience.   Your work experience with us will include: A three month placement as part of one of our project teams Producing code that may become part of PROWLER.io's ML platform, or part of an open source project Writing a short report on your work, to be submitted as a workshop paper at an ML conference or circulated internally as a technical report Participating and engaging in research and engineering activities within the company including seminars, research meetings and discussions Key requirements: Practical Python programming experience Evidence of machine learning knowledge (e.g. projects, relevant courses) Effective communication skills Ability to work well in multi-disciplinary teams  We provide: A world leading research and development environment Access to top researchers in Probabilistic Modelling, Multi-Agent Systems and Reinforcement Learning A healthy startup culture with a host of benefits, including regular team lunches, a free gym membership, yoga classes, games nights and other social events Competitive compensation This is a Summer placement commencing in June 2019. Applications are now open and will close on 29th March 2019. Location: Cambridge, United Kingdom

We are looking to hire exceptional scientists to join our reinforcement learning team. You will be contributing to our research work and developing algorithms that are both theoretically rigorous, yet scalable to domains approaching real-world complexity. Your responsibilities Develop novel reinforcement learning algorithms Conduct theoretical analysis of proposed algorithmic solutions Contribute to research work and publications the team is working on Develop and run large-scale experiments to identify effective solutions Work closely with other researchers and engineers in an Agile team Essential skills and experience PhD in Computer Science, Electrical Engineering, or an equivalent degree in a related field Strong background in the fields of reinforcement learning, and/or control theory Strong knowledge of machine learning and artificial intelligence algorithms Publications at top machine learning and robotics conferences, including but not limited to ICML, NeurIPS, AISTATS, UAI, AAAI, ICRA, RSS, IROS, ICLR, IJCAI Publications in high-impact machine learning and robotics journals, including but not limited to JMLR, PAMI, JAIR, IJRR Desired qualifications, skills and experience Experience with any of the following topics is a big plus: Model-based reinforcement learning Variational inference and/or probabilistic modelling Multi-task and/or lifelong learning Experience using MuJoCo and/or OpenAI gym environments Experience with Tensorflow and/or Pytorch libraries What we offe 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. Job type: full-time Location : Cambridge, United Kingdom - Candidates must be authorised to work in the UK