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...
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)