6 of 6 Amazon SageMaker Jobs in the North of England

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 ...

systems in production or a very strong software‐engineering background with clear motivation to grow into ML and MLOps. Additional Experience & Capabilities Using AWS SageMaker for training, deploying, and operating machine-learning workloads, or demonstrating equivalent experience on similar cloud ML platforms. Exposing machine-learning models via APIs (e.g. ...

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 ...

Select how often (in days) to receive an alert: For airports, for partners, for people. We are Cavu. At Cavu, our purpose is to find new and better ways to make airport travel seamless and ...

Business Unit: Cavu Data Director Manchester/Hybrid About Cavu For airports, for partners, for people. We are Cavu. At Cavu, our purpose is to find new and better ways to make airport travel seamless ...