Astrazeneca
Healthcare
SeniorAIPlatformEngineer
Neural analysis suggests this role is
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“Senior AI Platform Engineer at Astrazeneca. Skills: AI Platform Engineering, Machine Learning Operations, Cloud Infrastructure. Build and run platforms, tooling, and infrastructure for AI. Evaluate Machine Learning tooling advancements”
What You'll Achieve.
Advance the standard of healthcare; Improve the lives of millions of patients; Enable the productivity of AstraZeneca
Industry & Context.
Minimum of three days per week from the office
What They're Looking For.
Must Have
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, 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 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
Nice to Have
Experience or awareness of MLOps practices and building pipelines to accelerate and automate machine learning, Experience working with GxP compliant life science systems
What You'll Do.
Build and run platforms
and infrastructure for AI
Evaluate Machine Learning tooling advancements
Deliver tools for Data Scientists and ML Engineers
Build complex systems
and develop next generation platforms
Collaborate with Data Scientists and ML Engineers
Improve ML development environments
Secure estate without obstructing end-user productivity
Adapt machine learning methods for parallel environments
Ensure infrastructure and platforms are available to scale research to production
How You'll Work.
Team & Collaboration
Collaborate with Data Scientists and Machine Learning Engineers; Part of a dedicated agile team; Work closely with internal governance and compliance functions; Work with unexpected teams to unleash bold thinking
Full Job Description
**Introduction to role** 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 across the company to understand their challenges and build the platform that underpins their research. \- Be part of a dedicated agile team, continuously impro
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