Senior MLOps Engineer
- Location
- Greater London, England, United Kingdom
deep hands‐on PyTorch experience (TensorFlow also welcome) and the surrounding ecosystem: Hugging Face Transformers, timm, scikit‐learn, NumPy, pandas, OpenCV. Production experience on AWS, specifically Amazon SageMaker: training and processing jobs, pipelines, model registry, endpoints. Practical MLOps: experiment tracking and model versioning with MLflow, hyperparameter optimisation, and reproducible … testing, CI/CD. Able to explain technical trade‐offs clearly to people who are not engineers. Desirable Event‐driven and streaming architectures on AWS: Step Functions, Lambda, Kinesis, ECS, DynamoDB. Model monitoring in production: inference logging and drift detection. Exposure to healthcare, medical devices or another ...