Location
London

Hours
Full Time

Salary
EUR 84,000 to EUR 140,000 (Germany salary range provided as reference)

About the Role
At GSK, we envision a world where advanced applications of Machine Learning and AI enable the development of transformational medicines that improve patient outcomes at reduced cost and with fewer side effects. AI also plays a vital role in diagnosis and medicine usage to help everyone do more, feel better, and live longer. To realize this ambitious vision, we develop cutting-edge AI and Machine Learning products.

To strengthen our AI for Science (AI4S) team, we are seeking AI/ML Engineers with proven experience in developing and validating machine learning models for real-world scientific challenges. You will lead the design, research, implementation, and delivery of AI models and agentic systems across diverse scientific tasks, including open-ended research questions. This role leverages high-performance computing and GSK’s extensive biomedical data resources.

Team Culture
The AI4S team values ownership, accountability, continuous development, and collaboration. We hire for the long term and are committed to creating a great workplace. Our leaders support your career and development from day one. We strongly encourage applications from diverse and underrepresented backgrounds and perspectives.

In this role you will:
- Design and implement AI/ML-driven solutions throughout the entire model development life cycle.
- Research and develop state-of-the-art machine learning models and agentic systems for scientific tasks.
- Deliver robust, tested, high-performance code in an agile environment.
- Collaborate with experts in biology, medicine, and experimentation to optimize data collection and processing for machine learning models.

Why GSK?
GSK is a global biopharma company uniting science, technology, and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade through innovation in specialty medicines and vaccines. Our focus areas include respiratory, immunology and inflammation, oncology, HIV, and infectious diseases. We foster a culture that is ambitious for patients, accountable for impact, and committed to doing the right thing, creating an environment where our people can thrive and focus on what matters most.

Experience
- Proven track record in developing and validating machine learning models for scientific problems.
- Experience with at least one major deep learning framework (PyTorch, JAX, TensorFlow).
- Advanced programming expertise in Python.
- Experience in software engineering and machine learning best practices including version control, continuous integration (CI), continuous development (CD), containerization, and shell scripting.
- Familiarity with machine learning literature and state-of-the-art approaches.
- Fluency in English.

About you
- Motivated to work in a collaborative, accountable, and continuously developing team environment.
- Able to liaise effectively with experts in biology, medicine, and experimentation.
- Committed to delivering high-quality, robust AI/ML solutions.
- Enthusiastic about working at the intersection of AI and biomedical science.

Qualifications
- Bachelor's, Master's or Doctorate degree in a quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering, or related fields); OR equivalent work experience delivering state-of-the-art AI/ML solutions.
- Preferred qualifications include:
- Experience in design, development, and deployment of commercial AI/ML software.
- Experience with Large Language Models (LLMs) and Agentic AI (e.g., tool use, multi-agent orchestration, deployment and evaluation).
- Contributions to relevant open-source projects.
- Relevant scientific publications in AI/ML, computational biology, or bioinformatics.
- Knowledge of or interest in disease biology, molecular biology, and medicine.
- Experience working with biomedical data such as genomics, transcriptomics, proteomics, electronic health records, or clinical images.