6 of 6 Remote/Hybrid Amazon SageMaker Jobs in the UK excluding London

deploying ML models at scale using Docker, Kubernetes, or serverless Deep understanding of ML fundamentals: optimisation, regularisation, evaluation metrics Experience with cloud ML services (SageMaker, Vertex AI, or Azure ML) Strong software engineering practices: version control, testing, CI/CD MSc or PhD in Computer Science, Machine Learning ...

technical discipline. Bonus Skills/Experience Public writing, talks, or threads about building with AI. MLOps and model serving experience (BentoML, MLflow, Vertex AI, SageMaker). Streaming and batch ingestion pipelines (Spark, Airflow, Beam, Glue). Healthcare or life sciences domain exposure. AWS Professional certification or other relevant industry ...

ability to present complex information through clear and compelling data visualisations, ideally using Tableau Experience of cloud-based data science technologies, ideally including AWS SageMaker, AWS Bedrock and Snowflake , would be highly desirable A passion for continuous learning and staying up to date with emerging data science tools, technologies ...

strong expertise in SQL and Python being desirable. We're utilising the Data Science tools in the AWS Stack, so a good understanding of Sagemaker, Bedrock, and AWS Cloud Components would be highly desirable. Snowflake is our Central Data Platform, of which some experience would be desirable. Demonstrable experience ...

contract MUST have experience of ML in Snowflake. Looking for a Machine Learning Engineer to lead a migration of ML capabilities from existing AWS Sagemaker to Snowflake ML - will need to proof out can existing ML models work in Snowflake click apply for full job details ...

contract MUST have experience of ML in Snowflake. Looking for a Machine Learning Engineer to lead a migration of ML capabilities from existing AWS Sagemaker to Snowflake ML - will need to proof out can existing ML models work in Snowflake. This role will also drive optimisation of ML capabilities … Learn, TensorFlow, Pytorch etc Strong understanding of model deployment MLOps - experienced in designing and implementing MLOps frameworks and best practices Strong stakeholder management AWS Sagemaker is a nice to have Experience with feature stores, model registries and ML obserability tooling Machine Learning Engineer, Snowflake ML, Python, MLOps, Sagemaker ...