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xDesign

Lead ML Ops Developer

Hybrid
Data
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16 days ago
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aws python ci/cd pyspark amazon sagemaker
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📋 Description

  • Design and maintain a production MLOps platform on AWS SageMaker.
  • Lead migration of a 12-model production suite to SageMaker.
  • Build CI/CD pipelines for automated model promotion.
  • Define IAM least-privilege policies, KMS, and VPC controls for ML workloads.
  • Create reusable MLOps templates and runbooks.
  • Produce docs to help data science teams operate pipelines.

🎯 Requirements

  • AWS SageMaker (Studio, Training, Pipelines, Endpoints) expert.
  • AWS IAM expert; least-privilege policies from scratch.
  • Amazon S3 advanced; lifecycle, encryption, and bucket policies.
  • AWS KMS working knowledge for ML workloads.
  • CI/CD tooling (CodePipeline/CodeBuild) advanced.
  • Python / PySpark expert; production-quality code.

🎁 Benefits

  • Flexible working, hybrid and remote options.
  • Office hubs in Edinburgh, Leeds, Manchester, London and Bulgaria.
  • Supportive, friendly culture and opportunities for growth.
  • Occasional travel to client sites when needed.
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