Senior Machine Learning Engineer

GSK is seeking a Senior Machine Learning Engineer to join their AI/ML team, focusing on developing cutting-edge applications in genomics and drug development. The role involves working with foundational genomics models and multiomics datasets to understand molecular mechanisms of diseases and drug responses. The ideal candidate will have a strong background in machine learning engineering with 3+ years of industry experience, demonstrated ability to ship ML-powered products, and excellent software engineering practices. The position offers an opportunity to work on innovative healthcare solutions using advanced AI/ML techniques.

The team operates on principles of ownership, accountability, continuous development, and collaboration. The role combines technical expertise in machine learning with practical applications in biological systems. You'll be working in a hybrid environment, contributing to GSK's mission of developing novel therapies and personalized drugs using AI.

Key responsibilities include building and optimizing ML models, designing data architectures, mentoring junior team members, and maintaining high coding standards. While experience in biomedical sciences is advantageous, it's not mandatory. The position offers opportunities for professional growth and development in an organization committed to uniting science, technology, and talent to get ahead of disease.

GSK provides a supportive environment focused on diversity, inclusion, and work-life balance. The company's ambitious vision involves using advanced applications of Machine Learning and AI to develop novel therapies and personalized drugs, aiming to impact the health of billions of people worldwide.