3 of 3 Amazon S3 Jobs in Scotland

delivery of a production-grade machine learning platform on AWS. What you’ll be doing Design and maintain a production MLOps platform on Amazon SageMaker (Studio, Training, Pipelines, Endpoints) — including model registry, automated retraining, drift monitoring, and governance gates Lead the migration of a 12-model production suite … architect and operate the full lifecycle AWS IAM — advanced; writes least-privilege policies from scratch, not just modifies examples Amazon S3 — advanced; including lifecycle policies, encryption, and bucket policies AWS KMS — working knowledge of key management in an ML context AWS CI/CD tooling (CodePipeline/ ...

GitLab, Bitbucket, etc. Databases: MySQL, SQL Server, Oracle, MongoDB, Snowflake, Derby Reporting tools: Aqua scan, Checkmarks, SonarQube, Datadog, Soda, SSRS, etc. Cloud: Azure, AWS (S3) basic Others: REST APIs, ElasticSearch, New Relic, CI/CD, ETL, Swagger, Postman, Rancher, Data Analytics, ML Models, GitHub Copilot, Jira and Confluence. Need ...

Requirements Proven experience in Python engineering, with a focus on backend and infrastructure tooling. Deep knowledge of AWS services (IAM, KMS, CloudFormation, API Gateway, S3, Lambda, ECS, Glue, Step Functions, MSK, EKS, Bedrock). Experience scaling platforms for AI/ML workloads and integrating generative AI tooling. Understanding ...