AI Platform Engineer

The Enterprise AI Platforms and Operations Team is responsible for building and running the platforms, tooling, and infrastructure that powers AstraZeneca’s ambition to use AI in every step of the value chain, from discovering new compounds to patient safety systems. We achieve this through a combination of technical leadership and agile-focused development, continuously evaluating the fast-moving advancements in Machine Learning tooling for challenges across AstraZeneca’s R&D, Commercial, and Operations domains. We deliver these tools through easy-to-access environments that allow AstraZeneca’s Data Scientists and Machine Learning Engineers to focus on building groundbreaking solutions for patients at scale.

We are looking for an AI Platform Engineer to join our Enterprise AI Platforms and Operations Team. The ideal candidate will have industry-relevant experience delivering at scale Machine Learning or Data Science in the AWS cloud ecosystem or its competitors. You will be part of a collaborative team of multidisciplinary engineers and together have the chance to create tools that will advance the standard of healthcare, improving the lives of millions of patients across the globe. Our data science platforms will support major AI initiatives such as clinical trial data analysis, knowledge graph analytics, patient safety systems, deep learning-led drug discovery, and software as a medical device systems.

As an AI Platform Engineer with an interest 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 build, deploy, and develop our next generation of platforms and tools at scale.

Accountabilities

- Collaborate with Data Scientists and Machine Learning Engineers from across the company to understand their challenges and work with them to build the platform that underpins their research.

- Be a part of a hard-working agile team, continuously improving AstraZeneca’s Machine Learning development environments, platforms, and tooling.

- 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 attitude” to ensure the necessary infrastructure and platforms are available to scale exploratory research to production.

Essential Skills/Experience

- Bsc/MSc/Ph.D degree in Computer Science or related quantitative or analytical field. Experience as a founder, entrepreneur or experienced consultant will be looked at equally.

- Demonstratable experience working with AWS or a similar cloud environment

- Experience working with Kubernetes and/or container-based application deployments.

- Administering a production cluster, with an understanding of operators, storage classes and service meshes.

- Experience building and delivering software using the Python programming language, exceptional ability in other programming languages will be considered.

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

- Experience using DevOps to enable automation strategies

- Experience or awareness of MLOps practices and building pipelines to accelerate and automate machine learning will be looked upon favorably

- Experience working in an Agile team with knowledge or experience of working in product or platform-focused delivery.

- Experience working with internal security standards and frameworks. Especially within a medical, clinical or pharmaceutical context.

- Experience working with GxP compliant life science systems will be looked upon favorably

- Creative, collaborative and 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.

AstraZeneca is where you can 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, machine learning, and technology to turn complex information into life-changing and practical insights.

Ready to make a difference? Apply now!

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 authorisation and employment eligibility verification requirements.