

Revoco
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer (MLOps Engineer) on a 6-month contract in London, paying £600 to £650 per day. Key skills include strong Python, Azure experience, MLOps tools, CI/CD, and containerization with Docker and Kubernetes.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
650
-
🗓️ - Date
November 18, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - Skills detailed
#Azure #Terraform #Data Science #Logging #Kubernetes #Data Ingestion #Observability #Python #MLflow #Storage #Monitoring #Docker #Deployment #Version Control #Data Engineering #Azure DevOps #DevOps #ML (Machine Learning) #GitHub
Role description
MLOps Engineer
Contract
London based (hybrid or onsite depending on preference)
Outside IR35
£600 to £650 per day
I am supporting a client in London who is preparing to scale their machine learning capability. They need an experienced MLOps Engineer who can take models from development into a reliable production environment and keep everything running smoothly throughout the lifecycle.
What you will be working on
• Building, improving and maintaining the end to end ML pipeline from data ingestion through to deployment.
• Working closely with Data Scientists to turn notebooks and prototypes into production ready workloads.
• Setting up CI and CD for model training, testing and deployment using Python based toolsets.
• Managing model performance, drift monitoring and regular retraining workflows.
• Creating infrastructure using Terraform or similar, ideally within Azure.
• Maintaining containerised workloads using Docker and Kubernetes.
• Supporting observability by putting in place clear logging, alerting and metrics for ML services.
• Ensuring best practice for version control, experiment tracking and model registry.
• Troubleshooting production issues and improving stability and performance across the ML platform.
Key skills
• Strong Python for production environments.
• Solid experience with Azure for ML workloads including compute, networking and storage.
• Good knowledge of MLOps tools such as MLflow, Azure ML, Kubeflow or similar.
• Strong background in CI and CD using GitHub Actions, Azure DevOps or similar.
• Experience working in containerised environments using Docker and Kubernetes.
• Clear understanding of how to support Data Scientists and engineering teams through the model lifecycle.
Useful to have
• Experience working on large scale data or ML projects.
• Good understanding of data engineering fundamentals.
• Experience working in regulated or high availability environments.
If you're an experienced MLOps Engineer feel free to apply or send your C.V to nokakpu@revoco-talent.co.uk
MLOps Engineer
MLOps Engineer
Contract
London based (hybrid or onsite depending on preference)
Outside IR35
£600 to £650 per day
I am supporting a client in London who is preparing to scale their machine learning capability. They need an experienced MLOps Engineer who can take models from development into a reliable production environment and keep everything running smoothly throughout the lifecycle.
What you will be working on
• Building, improving and maintaining the end to end ML pipeline from data ingestion through to deployment.
• Working closely with Data Scientists to turn notebooks and prototypes into production ready workloads.
• Setting up CI and CD for model training, testing and deployment using Python based toolsets.
• Managing model performance, drift monitoring and regular retraining workflows.
• Creating infrastructure using Terraform or similar, ideally within Azure.
• Maintaining containerised workloads using Docker and Kubernetes.
• Supporting observability by putting in place clear logging, alerting and metrics for ML services.
• Ensuring best practice for version control, experiment tracking and model registry.
• Troubleshooting production issues and improving stability and performance across the ML platform.
Key skills
• Strong Python for production environments.
• Solid experience with Azure for ML workloads including compute, networking and storage.
• Good knowledge of MLOps tools such as MLflow, Azure ML, Kubeflow or similar.
• Strong background in CI and CD using GitHub Actions, Azure DevOps or similar.
• Experience working in containerised environments using Docker and Kubernetes.
• Clear understanding of how to support Data Scientists and engineering teams through the model lifecycle.
Useful to have
• Experience working on large scale data or ML projects.
• Good understanding of data engineering fundamentals.
• Experience working in regulated or high availability environments.
If you're an experienced MLOps Engineer feel free to apply or send your C.V to nokakpu@revoco-talent.co.uk
MLOps Engineer





