ML Ops Engineer (Data Science Focus)
Stratford, London (Hybrid – 40% in-office)
Security
: SC Clearance preferred or eligible
Are you passionate about bridging the gap between Data Science and DevOps? We're looking for an experienced
ML Ops Engineer
to help scale AI/ML solutions into production using cutting-edge AWS technologies. The contract is working for a regulatory Body in the Finance industry
What You'll Do
* Deploy and maintain ML models using AWS SageMaker, Bedrock, Glue, and more
* Build microservices and APIs to serve models (e.g., Hugging Face Transformers)
* Automate workflows and manage full ML lifecycle
* Collaborate with cross-functional teams and mentor data scientists
* Drive CI/CD integration and DevOps best practices
What You'll Bring
* Strong Python (or R) skills and hands-on ML experience
* Proven track record in deploying ML models in production
* AWS expertise (SageMaker, Fargate, Lambda, Redshift, etc.)
* Experience with Flask/FastAPI, SQL, Git, Jenkins, and Docker
* Excellent communication and stakeholder engagement skills
Why Join Us?
* Work on impactful AI/ML projects
* Be part of a collaborative, product-first team
* Grow your skills in a dynamic, tech-forward environment