AI/ML Engineer
Listed on 2026-03-05
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Software Development
AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Site Name: London The Stanley Building
Posted Date: Feb 24 2026
At GSK, we see a world where advanced applications of Machine Learning and AI empower us to drive groundbreaking solutions that further our mission of enabling everyone to do more, feel better, and live longer. This ambitious vision will rely on developing cutting‑edge products and solutions in Machine Learning and AI.
The AI Finance and Strategy team focuses on creating full‑stack, AI‑powered tools to support the R&D drug development strategy at the highest level of GSK. By leveraging data from across the organisation and beyond‑ from clinical trial readouts to external market analyses‑ as well as innovative methods – reinforcement learning, agentic systems, ML forecasting – we improve financial strategies and optimise decision‑making.
We’re looking for a highly skilled AI/ML engineer to help us make this vision a reality. Competitive candidates will have a track record of writing and shipping quality, well‑documented and well‑tested software, as well as demonstrated expertise in complex mathematical modelling and AI/ML development. Candidates should be comfortable with modern, cloud‑native computing, and with continuous development and production deployment on cloud platforms to large user populations.
We’re looking for a passion for advancing financial and strategic solutions that align with GSK’s mission, along with a commitment to continuous learning and development.
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.
Responsibilities- Develop back end code for a Python web application
- Design code architecture to ope rationalise mathematical models and algorithms
- Build models, services, and libraries that fulfil the stated API contract and metrics for a project
- Integrate AI/ML components with frontend, backend, data and compute infrastructure
- Responsible for high quality software implementations according to best practices, including automated test suites and documentation
- Develop, measure, and monitor key metrics for all tools and services and consistently seek to iterate on and improve them
- Participate in code reviews, continuously improving personal standards as well as the wider team and product
- Liaise with other technical staff and data engineers in the team and across allied teams, to build an end‑to‑end pipeline consuming other data products
- Consult, communicate and collaborate with stakeholders and users to understand their current processes and design requirements for improvements
- Masters’ degree in a relevant field (including computational or numerate), or equivalent experience
- Proven ability to solve complex problems using creative approaches, state‑of‑the‑art tools, and best engineering practices
- Demonstrated experience of Python backend development (e.g. using FastAPI)
- Cloud experience (e.g. Azure preferred) including core web application infrastructure is essential
- Strong skills in Python
- Unit testing experience (e.g. pytest)
- Knowledge of agile practices and able to perform in agile software development environments
- Strong knowledge of modern software development tools / ways of working (e.g. git/Git Hub, Dev Ops tools for deployment) – should be able to show practice of commit early and deploy often
- Experience with Docker or containerised applications, especially architecture of multi‑container applications
- Knowledge of AI/ML approaches and deployment of AI/ML powered applications – especially using language models or NLP and agent‑based approaches (e.g. Lang Graph, Pydantic
AI, Auto Gen) - Knowledge of AI/ML evaluation and benchmarking approaches, experience with iterative improvement of AI/ML models and products
- Some experience with frontend software development (e.g. React)
Closing Date for Applications: Tuesday 10th March 2026 (COB)
Why GSK?Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a purpose to…
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