AI/ML Engineer, GSK

• Ideal candidates are outstanding software engineers with in-depth knowledge of modern ML methods and a keen interest in ethical and safety aspects of using AI in drug discovery and the clinic
• A degree in a quantitative or engineering discipline (e.g., computer science, computational biology, bioinformatics, engineering, among others); OR equivalent work experience as a professional ML engineer or data scientist
• Demonstrated advanced programming expertise in Python and in developing and delivering robust software solutions
• Knowledge of machine learning principles and state-of-the-art modelling approaches, and experience with at least one major deep learning framework (preferably PyTorch)
• Knowledge of modern software engineering tools and best practices
• Keenness to learn fast in a new domain and to continuously develop your ML and software engineering skills
• Proactive communication and problem-solving, and a proven ability to collaborate with colleagues of various backgrounds and levels of seniority

Desirable

• We are looking for ML engineers with a track record in developing ML-based software solutions, who can collaborate closely with our AI/ML researchers
• The Responsible AI team is built on the principles of ownership, accountability, continuous development, and collaboration
• Apply state-of-the-art ML methods to problems in AI ethics and safety, drug discovery and on challenging biomedical datasets
• Support different teams across AIML and GSK to turn applied AI research into reliable and safe ML pipelines and software products
• Contribute to ML research on the responsible use of AI in drug discovery and in clinical applications
• Work closely with research scientists, senior leaders and AI/ML engineers on the implementation of GSK’s responsible AI strategy

• Closing Date for Applications: Friday 16th August 2024