Proximie seeks an experienced ML Platform Engineer to own the production infrastructure for machine learning solutions. You will manage training, processing and inference workloads on AWS SageMaker, and ensure reproducibility and reliability across hundreds of live hospitals.
You will implement containerised services with Docker, define environments in code, and drive monitoring for model drift and performance.
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This posting is for the Senior MLOps Engineer: Scale Production ML on SageMaker role at Proximie, based in Greater London, England, United Kingdom.
We are looking to fill the Senior MLOps Engineer: Scale Production ML on SageMaker position at Proximie in Greater London, England, United Kingdom.