Sr. ML Ops Engineer

Glaxo Smith Kline is looking for an experienced and highly motivated Senior Machine Learning Operations (ML Ops) Engineer to join our world-class team. This individual will be a key player in the development and maintenance of our ML systems and will be responsible for helping us achieve our ambitious goals. The right candidate will be an analytical problem-solver with a passion for developing and deploying ML models, and a deep understanding of MLOps and ML engineering best practices.This role requires excellent communication and collaboration skills, as well as the ability to effectively manage projects and workflows. To be successful in this role, you should have: a Bachelor’s degree or higher in Computer Science, Machine Learning or related field; at least five years of experience with ML engineering and/or MLOps; experience with popular ML frameworks such as TensorFlow and PyTorch; and experience with cloud-based ML deployments. If you have a passion for MLOps and a commitment to excellence, we want to hear from you!

According to JobzMall, the average salary range for a Sr. ML Ops Engineer in Cambridge, UK is between £50,000 and £80,000 per year. This range is based on data collected from various sources and is subject to change depending on the specific employer and job market conditions.

GlaxoSmithKline plc is a British multinational pharmaceutical company headquartered in Brentford, London. Established in 2000 by a merger of Glaxo Wellcome and SmithKline Beecham, GSK was the world's sixth largest pharmaceutical company as of 2015, after Pfizer, Novartis, Merck, Hoffmann-La Roche and Sanofi.