Continuously improve Machine Learning development environments, platforms and tooling within a high-performing Agile team.
Work collaboratively with Cyber Security, Data Privacy and governance teams to create secure solutions while supporting end-user productivity.
Help optimize Machine Learning workloads for modern parallel environments, including distributed clusters, multicore systems and GPUs.
Champion a production-first mindset, helping teams transition exploratory Data Science work into scalable production solutions.
Contribute to automation, standards and best practices across the Machine Learning product lifecycle.
What you’ll bring
BSc, MSc or PhD in Computer Science or a related quantitative or analytical field.
Strong experience in software engineering, automation and DevOps.
Experience developing and deploying production-grade Machine Learning products, or exceptional software engineering experience in a related area.
3+ years of Python development experience, or exceptional proficiency in another programming language.
Knowledge of at least one orchestration framework such as Airflow, Argo or Kubeflow, or a strong willingness to learn.
Experience deploying infrastructure and tooling for Machine Learning or Data Science at scale using Infrastructure as Code.
Experience working in Agile environments.
Experience working with internal security standards and frameworks.
A creative, collaborative and resilient approach to solving complex problems.
Why AstraZeneca?
Here, AI isn’t just an experiment. You’ll be helping create the platforms and capabilities that enable teams across AstraZeneca to apply AI to complex scientific and healthcare challenges.
You’ll work alongside experts across engineering, Data Science and the wider organization, with the opportunity to build, challenge existing approaches and shape how AI is delivered at scale.
We believe that bringing different perspectives together fuels bold thinking and innovation. Our teams work, on average, a minimum of three days per week from the office, balanced with individual flexibility.
Ready to engineer AI solutions with the potential to make a real-world impact? Apply and help us shape what’s next.
AstraZeneca 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.
