Lead ML Ops Developer
Edinburgh, Leeds, Manchester, London
GBP 70K-79K (estimate) Senior-level Full Time
Tasks
- Build CI CD pipelines for automated model promotion
- Communicate migration risk and governance trade offs
- Create MLOps golden template patterns
- Create governance gates and compliance checks
- Define and enforce IAM least privilege policies
- Design and maintain production MLOps platform on SageMaker
- Implement VPC and PrivateLink network controls
- Lead migration of production machine learning models to SageMaker
- Manage KMS key management for ML workloads
- Package and version machine learning models
- Produce technical documentation and runbooks
- Run parity testing and migration sign off
- Set up drift monitoring and monitoring pipelines
Perks/Benefits
Skills/Tech-stack
AWS CDK | AWS CloudFormation | AWS Glue | AWS IAM | AWS KMS | AWS Lambda | AWS Step Functions | Amazon CloudTrail | Amazon CloudWatch | Amazon EMR | Amazon S3 | Amazon SageMaker | CI/CD | CodeBuild | CodePipeline | Data Governance | Drift monitoring | GDPR | Git | IAM policies | Infrastructure as Code | KMS Key Management | Key Management | Least Privilege | Model Monitoring | Model Registry | PII | PrivateLink | PySpark | Python | Step Functions | Terraform | VPC | Version control | “as-code”
Education
N/A
Regions
Countries
States
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