Machine Learning Engineer

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