Senior AI Machine Learning Operations Engineer
Posted 5 days ago by Deloitte
Negotiable
Undetermined
Hybrid
Coventry, England, United Kingdom
Summary: The Senior AI Machine Learning Operations Engineer will lead the design and implementation of MLOps capabilities for a high-impact AI project. This role involves setting up and scaling ML pipelines, driving best practices, and collaborating with various stakeholders. The position is hybrid, requiring occasional client travel, and is expected to last between 6 to 9 months starting from May 11, 2026.
Key Responsibilities:
- Leading the design and build of MLOps capabilities
- Setting up and scaling end-to-end ML pipelines
- Driving best practices across the ML lifecycle
- Collaborating with data scientists, engineers, and stakeholders
Key Skills:
- Significant experience in relevant roles (MLOps / ML Engineering / Data Engineering)
- Proven experience as an MLOps Engineer
- Strong track record of leading and implementing MLOps frameworks
- Hands-on experience with model deployment, monitoring, and CI/CD
- Experience with Databricks (highly desirable)
Salary (Rate): undetermined
City: Coventry
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: Senior
Industry: IT
Senior AI Machine Learning Operations Engineer
Start date 11th May 2026
Duration 6 – 9 months
Coventry, Hybrid (occasional client travel)
We’re looking for a Senior MLOps Engineer with significant experience to join a high-impact AI project.
What you’ll be doing:
- Leading the design and build of MLOps capabilities
- Setting up and scaling end-to-end ML pipelines
- Driving best practices across the ML lifecycle
- Collaborating with data scientists, engineers, and stakeholders
What we’re looking for:
- Significant experience in relevant roles (MLOps / ML Engineering / Data Engineering)
- Proven experience as an MLOps Engineer
- Strong track record of leading and implementing MLOps frameworks
- Hands-on experience with model deployment, monitoring, and CI/CD
- Experience with Databricks (highly desirable)
Why this role?
- Work on a cutting-edge AI initiative
- Opportunity to own and shape MLOps strategy
- Flexible hybrid working
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