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
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💰 - Day rate
650
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🗓️ - Date
November 18, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - 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