Summary
AstraZeneca is a global, innovation-driven biopharmaceutical business that focuses on the discovery, development and commercialization of prescription medicines for some of the world's most serious diseases. But we're more than one of the world's leading pharmaceutical companies. At AstraZeneca, we're proud to have a unique workplace culture that inspires innovation and collaboration. Here, employees are empowered to express diverse perspectives and are made to feel valued, energized and rewarded for their ideas and creativity.
We are looking for a number of Machine Learning Engineers to join our Data Science & AI team in Cambridge. The ideal candidate will have industry experience working on a range of different Machine Learning disciplines, e.g. search ranking, text/sentiment classification, image recommendations and others. The position will involve taking these skills and applying them to some of the most exciting data & prediction problems in drug discovery. You will work in a team of deeply technical and close-knit team of data scientists, knowledge engineers & machine learning engineers and have the chance to create tools that will advance the standard of healthcare improving the lives of millions of patients across the globe.
We are working in collaboration with our scientists to help develop better drugs faster, choose the right treatment for a patient and run safer clinical trials. Our team empowers our scientists from early development to the late stages in drug development, driving innovation and acting as a catalyst for the adoption of the latest advances in Artificial Intelligence and Data Science. You will work closely with scientists & product teams and learn to deliver ML solutions at scale within the AstraZeneca tech stack, whilst encouraging best practices for ML across the company.
We are looking for junior and senior engineers to establish the ML effort for our team, building ML-based systems, tools, and services that serve as infrastructure for practically everyone in AstraZeneca. As a strong software leader and an expert in building complex systems, you will be responsible for inventing how we use technology, Machine Learning, and Data to enable the productivity of AstraZeneca.
You will help envision, build, deploy and develop our next generation of data engines and tools at scale.
Key Accountabilities
- Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
- Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
- Deploying machine learning solutions into production.
- Optimizing solutions for performance and scalability.
- Data engineering, i.e. ensuring a good data flow between database and backend systems with high performance data pipelines.
- Implementing custom machine learning code.
- Explain analyses and machine learning solutions to technical audiences
- Liaise with other teams to enhance our technological stack, to enable the adoption of the latest advances in Data Processing and AI
- Being an active member of the Data Science team, you will benefit from, and contribute to, our expanding bank of Data Science algorithms and work efficiently with our data science infrastructure. You will get involved in testing and assessing the quality of new tools. It’s also likely you’ll get involved in team recruitment, training provision and coaching
Candidate Knowledge, Skills and Experience
Essential
- MS in Computer Science or related quantitative field or Ph.D degree in Computer Science or related quantitative field
- More than 2 years of experience and demonstrable deep technical skills in one or more of the following areas: machine learning, recommendation systems, pattern recognition, natural language processing or computer vision.
- 1+ experience with one or more DL frameworks such as Tensorflow or PyTorch.
- Strong software development skills, with proficiency in Python and Scala preferred
- Experience building large scale data processing pipelines
- Experience with Cloud computing, Hadoop/Spark, SQL
- Ability to explain and present analyses and machine learning concepts to a broad technical audience
- Creative, collaborative, & product focused
Desirable
- Use of Data Science Modelling Tools eg. R, Python, Hadoop, Spark, SAS and Data Science Notebooks (e.g. Jupyter)
The role will have no direct line reports, but task management responsibilities within project or services may occur
Next Steps – Apply Today!
To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience – it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity. If you know someone who would be a phenomenal fit, please share this posting with them.
Competitive remuneration and company benefits apply
AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, gender or gender 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
