ML OPS Enigneer with data science experience - inside IR35

ROLE: ML OPS Engineer/Data scientist
Location: London Stratford 40% a month on site
Rate: 450.00£/day inside IR35
Start date: ASAP

Key requirement:

• ML Ops engineer with experience in data science, DevOps, and AWS SageMaker for model deployment (ML life cycle).
• Travel to London Stratford client office 40% a month (travel allowance not included).
• Excellent soft skills, Sr. Consultant with hands-on experience.

Essential skills:

Demonstrated experience deploying and maintaining AI/ML models in production environment using AWS SageMaker.

Hands-on experience with AWS Machine Learning and Data services: SageMaker, Bedrock, Glue, Kendra and ECS Fargate.

Ability to develop and host microservices and REST APIs using Flask, FastAPI, or equivalent frameworks.

Proficiency with SQL, version control (Git), and working with Jupyter or RStudio environments.

Strong cross-functional collaboration skills and the ability to explain technical concepts to nontechnical stakeholders.