Senior Machine Learning Engineer leading ML model development and MLOps on AWS.
This role involves technical leadership of a junior data science team, overseeing the full lifecycle of machine learning models on AWS including training with SageMaker, production deployment, and monitoring strategies. You'll establish MLOps best practices around versioning and experimentation, guide work on model drift detection, fairness assessment, and emerging areas like graph neural networks. The position suits experienced ML engineers who enjoy mentoring and building reliable, scalable solutions in production environments.
Membership is €29/month, cancel anytime: every rate, every original listing link, and a daily alert for roles matching your filters.
Found at a specialist agency · listed 16 September 2026 · InsideJobs links you to the original posting.