AI Machine Learning Operations Engineer
Start date 11th May 2026
Duration 6 9 months Hybrid Coventry (occasional client travel)
Were looking for a Senior MLOps Engineer with significant experience to join a high-impact AI project.
What youll 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 were 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
Required 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)
AI Machine Learning Operations EngineerStart date 11th May 2026Duration 6 9 months Hybrid Coventry (occasional client travel) Were looking for a Senior MLOps Engineer with significant experience to join a high-impact AI project.What youll be doing:Leading the design and build of MLOps capabilities...
AI Machine Learning Operations Engineer
Start date 11th May 2026
Duration 6 9 months Hybrid Coventry (occasional client travel)
Were looking for a Senior MLOps Engineer with significant experience to join a high-impact AI project.
What youll 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 were 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
Required 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)
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