Associate Principal AI Engineer
Do you haveexpertisein, and passion for,AI? Would you like to apply yourexpertise toimpacta company that follows the science and turns ideas into life changing medicines? If so, AstraZeneca might be the one for you!
ABOUT ASTRAZENECA
AstraZeneca is a global, innovation-drivenBiopharmaceuticalsbusiness that focuses on the discovery,developmentand commercialisation of prescription medicines for some of the world’s most serious disease. Butwe’remore than one of the world’s leading pharmaceutical companies.
At AstraZenecawe’rededicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit.There’sno better place to make a difference to medicine,patientsand society. An inclusive culture that champions diversity and collaboration. Always committed to lifelong learning,growthand development.
ABOUT OURENTERPRISE AI PRODUCTS AND TECHNOLOGY TEAM
Aplace to do important work. We connect across the whole business to power each function to better influence patient outcomes and improve their lives. Impactful and valuable, this is where you come to raise your profile
and do good for others. Play an increasingly crucial role in driving disruptive transformation on our journey to becoming a digital and data-led enterprise. Unleash the power of our latest innovations in data, machinelearningand technology to turn complex information into life-changing and practical insights.Work in synergywith leading experts in our specialist communities. Here we bring the brightest minds to bear, with access tocutting-edgetechniques and the opportunity to be part of novel solutions.It’sup to us to drive the outcomes forward, inventing and building, expanding our knowledge toidentifythe next opportunity. An inclusive team, we bring together diverse areas -different functionsas well as external partners. Pooling from an unrivalled source of knowledge, we share, learn and challenge. It powers us to decode business needs and apply our technicalknow-howto add greater value. Rise to the challenge of shaping the future of an evolving business in the technology space.
ABOUT THE ROLE
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 teamsundertakemajor 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 toolingto 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
Bsc/MSc/Ph.Ddegree 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 yearsormore 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.
Date Posted
31-ago-2026Closing Date
13-sept-2026AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.