The Enterprise AIProductsandTechnologyTeamare responsible forbuilding and running the platforms,toolingand infrastructure that powers AstraZeneca’s ambition to use AI in every step of the value chain, from discovering new compounds to patient safety systems.  

You will be part of a collaborative team ofmultidisciplinary engineers andworking closely with data science teams, have a chance to create tools, standards and automate commonly used tasks of machine learning product lifecycle.A part of the role is also to increase the capabilities of the platforms team tobettersuit the datascientistways of working.Our data science  teams  undertakemajor AI initiatives such as clinical trial data analysis, knowledge graph analytics, patient safety systems, deep learning led drug discovery, softwareas a medical device system.

 Asan  Associate Principal AI Engineer you have the software engineering mindset towards automation and agility while being able to question and improve the ways ofworking ofdata science teams. 

Key Accountabilities 

• Collaborate with Data Scientists and Machine Learning Engineers  from across the company to understand their challenges and work with them to  build  thetools/platformsthatunderpinstheir  research.  

• Be a part of a high performing agile team, continuously improving  AstraZeneca’s Machine Learning development environments,platformsand tooling to better suite data science initiatives.

• Work closely and collaboratively with internal governance and compliance functions such as Cyber Security and Data Privacy to secure our estate without obstructing end-user productivity.  

• Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU). 

• Champion a “production first mindset” in the data science projects development lifecycle to seamlesslyscale exploratory research to production.  

Candidate Knowledge,Skillsand Experience  

• BscMSc/Ph.D degree in Computer Science or related quantitative  or analytical field. 

• Demonstrableexperience in software engineering and automationleveragingDevOps. 

• Prior experience withdeveloping and deploying production grade machine learning products or exceptional ability in other software engineering domainswillbe considered.

• 3 years ormore ofexperience building and delivering software using the Python programming language, exceptional ability in other programming languages will be considered

• In depth knowledge and experience with at least one container orchestration framework (Airflow, Argo, Kubeflow etc)or willingness to learn.

• Demonstratable experience deploying the underlying infrastructure and tooling for running Machine Learning or Data Science at Scale  using Infrastructure of Code.

• Experience working in an Agile team. 

• Experience working with internal security standards and  frameworks.

• Creative,collaborativeand resilient.

When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.