Related skills
aws python databricks containerization sagemaker📋 Description
- Act as the overall technical authority for the programme.
- Define and enforce standard migration patterns from Databricks to SageMaker.
- Coordinate delivery across parallel teams and dependencies.
- Provide input into delivery planning, risk management, and milestones.
- Lead AWS-focused MLOps and platform engineering.
- Migrate Databricks workloads to AWS SageMaker with containerised runtimes.
🎯 Requirements
- Hands-on experience migrating ML workloads from Databricks to AWS SageMaker.
- Strong Python-based ML workloads in production.
- Container-based ML execution and Python dependency management.
- Experience delivering across multiple engineers and workstreams.
- Comfort in regulated or high-governance environments with validation.
🎁 Benefits
- Flexible hybrid and remote working options.
- Office hubs in Edinburgh, Leeds, Manchester, London and Bulgaria.
- Supportive culture with growth opportunities.
- Reasonable interview process with timely feedback.
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