The median MLOps Engineer salary in United Kingdom is £1K in 2026, with a typical range from £1K to £1K. Year-on-year movement is still building as more matched salary data is published. United Kingdom currently leads city pay at £1K.
What does A MLOps Engineer do?
A MLOps Engineer is responsible for building and maintaining ML training and inference pipelines, model deployment workflows, and monitoring infrastructure using MLflow, Kubeflow, and Azure ML to productionise machine learning at scale.
Day-to-day responsibilities
- Designing and maintaining ML training and inference pipelines
- Building CI/CD workflows for model deployment with MLflow
- Kubeflow
- Azure ML
- Monitoring model performance and data drift in production
- Collaborating with data scientists to productionise experimental models
Extreme demand+18% MLflow or Kubeflow ML pipeline tools+16% Kubernetes and container orchestration+14% Python ML engineering