Lead ML Ops Developer

📋 Description

• Own the design and delivery of a production-grade MLOps platform on AWS.
• Lead migration of a 12-model production suite to SageMaker.
• Build and maintain CI/CD pipelines for automated model promotion.
• Define IAM least-privilege policies, KMS, and VPC/PrivateLink controls.
• Create the 'golden template' MLOps patterns for self-service use.
• Produce technical docs and runbooks for data science teams.

🎯 Requirements

• Amazon SageMaker (Studio, Training, Pipelines, Endpoints) expert level.
• AWS IAM: least-privilege policies from scratch.
• Amazon S3: lifecycle, encryption, and bucket policies.
• AWS KMS: key management in ML context.
• CI/CD tooling (CodePipeline/CodeBuild) with automated model promotion.
• Git / version control with ML artifact release workflows.

🎁 Benefits

• Hybrid and remote working options.
• Office hubs: Edinburgh, Leeds, Manchester, London and Bulgaria.
• Supportive culture focused on growth.
• Transparent, respectful hiring process.
• Work with top clients across industries.
• Professional development opportunities.