Machine Learning Engineer

United Kingdom - London
Posted: 12/08/2025

Salary: £0.00 to £650.00 per Day
ID: 36432_BH

Apply

OR Machine Learning Engineer - AWS Migration

Contract | Outside IR35 | London Hybrid | 6 months+

We are seeking an experienced Machine Learning Engineer to assist in our client's migration of their model training and deployment pipelines from an on-prem Kubernetes-based platform to AWS. This role is hands-on and will involve adapting existing workflows and tooling to AWS-native services, ensuring minimal disruption while optimising for performance and scalability.

The ideal consultant will have a strong mix of ML engineering, Python development, and AWS expertise, with proven experience building production-grade ML pipelines in SageMaker.

What you'll be doing: Migrate ML workflows (training, deployment, monitoring) from on-prem Kubernetes to AWS SageMaker. Rewrite/refactor code to align with AWS-native services and best practices. Build & optimise Python-based ML pipelines for scalable, production-ready deployment. Collaborate with Data Science & DevOps teams to ensure a smooth transition. Implement robust model monitoring, versioning, and CI/CD for ML.

What we're looking for: Strong experience as a Machine Learning Engineer or ML-focused Software Engineer. Proven track record building ML pipelines in AWS SageMaker. Python development for ML automation & deployment. Containerised ML workflows (Docker, Kubernetes). Experience migrating ML systems from on-prem to cloud.

Nice to have: GPU-enabled Kubernetes cluster experience. MLOps best-practice knowledge. Familiarity with AWS services like Lambda, Step Functions, S3, ECR.

Apply

OR

Share:

Machine Learning Engineer