AIML Engineer, AI for Science

About the role

GSK is strengthening its AI for Science (AI4S) team and is looking for AI/ML engineers with a track record of developing and validating machine learning models for real-world scientific problems. You will research, design, implement and deliver AI models and agentic systems across scientific tasks, using high-performance computing and GSK's biomedical data sources.

Key responsibilities

• Design and implement AI/ML-driven solutions across the whole 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.
• Work with biology, medicine and experimentation experts to optimise data collection and processing for machine learning models.

Required profile

• Bachelor's, Master's or doctorate in a quantitative or engineering discipline (computer science, computational biology, bioinformatics, engineering, etc.), or equivalent experience delivering AI/ML solutions.
• Fluency in English.
• Preferred: experience with commercial AI/ML software, LLMs and agentic AI, open-source contributions, scientific publications, knowledge of disease biology and biomedical data.

Required skills

• At least one major deep learning framework (PyTorch, JAX, TensorFlow).
• Advanced Python programming.
• Software engineering and ML best practices: version control, CI/CD, containerization and shell scripting.

What we offer

• Salary range in Germany of EUR 84,000 to EUR 140,000, with further details given during recruitment.
• Benefits from the collective agreement, such as holiday allowance and extra paid leave, plus possible bonuses and awards.
• Possible health and wellbeing benefits, pension plan and paid parental/care leave.
• Hybrid working and a long-term career path within the AI4S team.