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Lead ML Ops Developer

Added

16 days ago

Location

🇬🇧 London

Type

Contract

Salary

Salary not provided

Related skills

terraform aws python ci/cd git

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📋 Description

Lead MLOps Developer to own design and delivery of a production-grade ML platform on AWS.
Design and maintain a production MLOps platform on AWS SageMaker.
Migrate 12-model production suite to SageMaker; parity testing and sign-off.
Build CI/CD pipelines for automated model promotion across environments.
Define IAM least-privilege policies, KMS, and VPC/PrivateLink controls.
Create golden templates for MLOps patterns for self-serve from.

🎯 Requirements

AWS SageMaker (Studio/Training/Pipelines/Endpoints) expert.
AWS IAM: least-privilege policies from scratch.
Amazon S3: lifecycle, encryption, and bucket policies.
AWS KMS: key management in ML contexts.
CI/CD tooling (CodePipeline/CodeBuild or equivalents) for models.
Python / PySpark: production-quality code.

🎁 Benefits

Flexible hybrid and remote options.
Offices in Edinburgh, Leeds, Manchester, London and Bulgaria.
Supportive culture with growth opportunities.
Occasional travel to client sites or CreateFuture offices as needed.

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