AIML Engineer, AI Science

About the Role

We are building the AI for Science (AI4S) team and seek AI/ML Engineers with a track record in developing and validating machine learning models for real‑world scientific problems. In this role you will design and implement AI/ML solutions throughout the model development life cycle, research, design, implement and deliver solutions across a range of scientific tasks using high‑performance computing and biomedical data sources.

• Research, design, implement and deliver AI/ML models and agentic systems to solve scientific tasks.
• Develop robust, tested, high‑performance code in an agile environment.
• Liaise with biology, medicine and experimentation experts to ensure optimal data collection and processing for machine learning models.
• Deliver AI models and agentic systems across open‑ended research questions.

• Bachelor’s, Master’s or Doctorate degree in a quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering, etc.) or equivalent experience delivering state‑of‑the‑art AI/ML solutions.
• Experience with at least one major deep‑learning framework (PyTorch, JAX, Tensor Flow).
• Familiarity with machine learning literature and state‑of‑the‑art approaches.
• Strong programming expertise in Python and experience developing and delivering robust software solutions.
• Experience in software engineering and machine learning best practices, including version control, continuous integration (CI) and continuous deployment (CD), containerisation, and shell scripting.
• Fluency in English.

• Experience in design, development and deployment of commercial AI/ML software.
• Experience with Large Language Models (LLMs) and Agentic AI.
• Contributions to relevant open‑source projects.
• Relevant scientific publications in AI/ML, computational biology or bioinformatics venues.
• Knowledge or interest in disease biology, molecular biology and medicine.
• Experience working with biomedical data (genomics, transcriptomics, proteomics, electronic health records, clinical images).

GSK is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment without regard to race, colour, religion, sex (including pregnancy, gender identity and sexual orientation), parental status, national origin, age, disability, genetic information, military service or any basis prohibited under applicable law. We encourage applications from people with diverse backgrounds.