Aug 28, 2026
Location: Wokingham - Office based (hybrid working with 3+ days per week onsite may be considered)
Start Day: ASAP
Contract Rate: £460 per day inside IR35
Duration: 6 months initially
Role Overview
Our client is seeking an experienced Azure MLOps Engineer to support the deployment, automation, and management of machine learning solutions within Azure. Working closely with architects, data scientists, forecasting teams, developers, and DevOps engineers, you will help deliver scalable, secure, and reliable MLOps platforms supporting large-scale data processing and real-time inference workloads.
Key Responsibilities
* Deploy and manage ML models in production using Azure Machine Learning.
* Design and maintain Azure-based MLOps infrastructure.
* Build and support Azure DevOps CI/CD pipelines for ML artefacts.
* Implement monitoring, logging, security, and governance controls.
* Manage data pipelines, storage solutions, data versioning, and lineage tracking.
*...
| IR35 Status: |
Inside IR35
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CV-Library
Wokingham, Berkshire
Contractor