26 to 27 of 27 Amazon S3 Jobs in the City of London

Infrastructure Deploy and manage models using SageMaker (training, endpoints, pipelines) Leverage Bedrock for foundation model access Implement serverless inference with Lambda & API Gateway Utilise S3, Glue, Athena for data processing Implement CI/CD for ML workflows Monitor performance via CloudWatch and drift detection tooling Optimise inference cost … Statistical modelling & ML algorithms Feature engineering Experiment design & evaluation AWS ML Stack SageMaker (training, endpoints, pipelines) Bedrock (foundation models incl. Claude) Lambda (serverless inference) S3, Glue, Athena CloudWatch IAM & security best practices AI-Native Tooling Foundation models for reasoning workflows Code-generation tooling for automation scripting Agent orchestration frameworks ...

production-grade platforms. Our current stack includes: · Python/Flask backend · Jinja2 templating · Modular vanilla JavaScript (no front-end framework) · Tailwind CSS · Snowflake and S3 for data storage · PySCIP for optimisation workflows In addition to strengthening the front-end and platform layer, this role will support API integrations with … outbound data workflows. Data Collaboration – Work closely with the Data Engineering team to ensure consistent, scalable, and well-structured data pipelines between Snowflake, S3, optimisation models, and external systems. Technical Strategy – Help define when to extend our current server-rendered approach versus introducing modern front-end frameworks or additional ...