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    <title>Machine Learning Engineer - Queen Square Recruitment Ltd RSS Feed</title>
    <link>https://jobs.co.uk/job/machine-learning-engineer-queen-square-recruitment-ltd--13e0dccf-fbda-414c-b057-a770f553f228</link>
    <description>RSS feed for Machine Learning Engineer at Queen Square Recruitment Ltd.</description>
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    <lastBuildDate>Wed, 05 Aug 2026 19:24:58 GMT</lastBuildDate>
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      <title>Machine Learning Engineer - Queen Square Recruitment Ltd</title>
      <link>https://jobs.co.uk/job/machine-learning-engineer-queen-square-recruitment-ltd--13e0dccf-fbda-414c-b057-a770f553f228</link>
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      <pubDate>Tue, 04 Aug 2026 23:00:00 GMT</pubDate>
      <description>Location: Wokingham | Salary: &amp;pound;460/day | Type: Contract | 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.   Support real-time inference and scalable ML workloads, including auto-scaling.   Collaborate with technical and business stakeholders to optimise model performance and platform reliability.   Produce and m...</description>
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