AI/ML Engineer, Responsible AI

Glaxosmithkline Consumer Healthcare SA; Greater London; On-site; GBP 40,000 - 70,000; Full time

Job summary

A global healthcare company in Greater London is seeking a researcher specialized in AI and machine learning to enhance drug discovery processes. The ideal candidate will have a strong background in ML research, particularly involving large language models. Responsibilities include developing and publishing AI methods to address real-world biomedical challenges, while collaborating with various teams on ethical practices. A PhD-equivalent degree in a relevant field is required alongside programming expertise in Python and deep learning frameworks.

Qualifications

• PhD-equivalent degree or equivalent professional ML experience.
• Track record of high-quality ML research with notable publications.
• Strong grasp of machine learning and state-of-the-art modelling approaches.

Responsibilities

• Publish ML research on AI agents in drug discovery and clinical applications.
• Develop ML methods for complex biomedical datasets.
• Support teams in building ethical ML pipelines and software products.

Skills

Machine learning research

Programming in Python

Deep learning frameworks (PyTorch, TensorFlow)

Data analysis

Education

PhD-equivalent degree in a quantitative or engineering discipline

Tools

Python

PyTorch

TensorFlow

Job description

At GSK, we are using Artificial Intelligence (AI) and Machine Learning (ML) to develop new therapies and personalized drugs that drive better outcomes for patients at reduced cost with fewer side effects. Because the datasets we use and algorithms we build at each step of the drug development journey have safety and ethical implications for our patients, GSK has a dedicated team working on the responsible use of AI in healthcare. If this excites you and you want to be part of our team, we would love to chat.

We are looking for a researcher with a track record in successfully developing and publishing state‑of‑the‑art AI/ML methods, preferably with a focus on large language models (LLMs), LLM‑based agents, and their evaluation. In addition to outstanding ML engineering and research skills, ideal candidates will demonstrate a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic.

The Responsible AI team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we are motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. We strongly encourage applications from people with diverse and underrepresented backgrounds and perspectives.

In this role you will

• Perform and publish ML research on the responsible use of AI agents in drug discovery and clinical applications.
• Develop state‑of‑the‑art ML methods to solve applied problems at the interface of AI agents, drug discovery and challenging biomedical datasets.
• Support different teams across AIML and GSK in building ethical ML pipelines and software products.
• Work closely with research scientists, senior leaders, AI/ML engineers, and policy experts on the implementation of GSK’s responsible AI strategy.

Basic Qualifications

• A PhD‑equivalent degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering), or equivalent professional ML research engineer experience.
• A track record of performing high‑quality ML research, evidenced by publications at major ML venues.
• A strong foundation in machine learning and experience with state‑of‑the‑art modelling approaches, especially LLMs and LLM‑based systems.
• Demonstrated programming expertise in Python and experience working with complex and/or multi‑modal datasets.
• Solid understanding of at least one major deep‑learning framework (PyTorch, TensorFlow).
• Keenness to learn fast in a new domain and to develop your ML and software engineering skills.
• Proactive communication and problem‑solving, and proven ability to collaborate with colleagues of various backgrounds and levels of seniority.

Preferred Qualifications

• Experience working with biomedical data (genomics, transcriptomics, proteomics, electronic health records, clinical images).
• Contributions to relevant open‑source projects.
• A background or interest in drug discovery, biology, medicine or ethics.

Closing Date for Applications

Sunday 4th January 2026 (COB).

We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.

GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any other basis prohibited under federal, state or local law.