Senior Machine Learning Engineer

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Site Name: London The Stanley Building

Posted Date: Oct 14 2025

At GSK we see a world in which advanced applications of Machine Learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of Machine Learning and AI. If that excites you, we\'d love to chat.

We\'re looking for an accomplished Senior Machine Learning Engineer to help us make this vision a reality. You will work with foundational genomics models and multiomics datasets from patients and lab experiments to model aspects of RNA biology that will inform our understanding the molecular mechanisms of diseases, drug response, and design of best-in-class drugs in a new and exciting therapeutic modality. Familiarity and experience with genomics and RNA biology is a plus, but not required.

Competitive candidates will have a track record of shipping high performing machine learning powered products in production environments. They are highly accomplished Machine Learning Engineers, with breadth across machine learning methods and depth in at least one area. Additionally, they are accomplished software engineers with a track record of shipping stable, tested, performant code and services in an agile environment. A senior engineer can consistently take a poorly defined problem and formulate clear objectives, then execute on it to build a high performing product or service. They are the model for the team in terms of code quality, standards, and best practices, and they act as mentors to junior members of the team.

Strong candidates will have graduate studies in Computer Science, Applied Mathematics, or the equivalent (or in the life sciences with a focus on machine learning techniques) and 3+ years of industry experience building machine learning powered tools. Educational or professional background in the biological sciences is a plus but is not necessary.

The AI/ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we\'re motivated to make this a great place to work. Our leaders will be committed to your career and development from day one.