AI/ML Engineer

Sourced from justjobs.com

GSK is seeking an accomplished Machine Learning Engineer to build agentic systems and ML models that elucidate molecular mechanisms of disease and accelerate development of new therapies. The role works with frontier models, foundational genomics models, and multiomics datasets to model molecular biology and medicinal chemistry. Candidates should have a track record of shipping high-performing AI/ML products and a passion for solving challenging problems.

• Engineer agentic systems and machine learning models to model disease mechanisms and drug response
• Work with frontier models, foundational genomics models, and multiomics datasets
• Apply machine learning best practices to ship high-quality production code
• Collaborate with a team built on ownership, accountability, and continuous development

• Degree in a quantitative or engineering discipline (CS, bioengineering, physics, mathematics, electrical engineering) or equivalent experience
• Experience with LLM agents, evals, and agentic workflow design
• Experience in at least one major deep learning framework (PyTorch, TensorFlow)
• Programming expertise in Python
• Experience using Git, SQL, and shell scripting within an AI/ML engineering stack
• Experience applying machine learning best practices

• Internship experience as a researcher in an AI/ML academic lab or as an AI/ML engineer or SWE in industry
• Experience working with biomedical datasets (genomics, transcriptomics, proteomics, EHR, clinical images)
• Track record of contributing to open-source projects
• Commit early and often, metrics before models, shipping high-quality production code