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    <title>MLOps Engineer / Machine Learning Engineer - Hays Technology RSS Feed</title>
    <link>https://jobs.co.uk/job/mlops-engineer-machine-learning-engineer-hays-technology--f5a6fb8c-774b-4255-bca1-7610cd37de8a</link>
    <description>RSS feed for MLOps Engineer / Machine Learning Engineer at Hays Technology.</description>
    <language>en-gb</language>
    <lastBuildDate>Tue, 16 Jun 2026 19:19:15 GMT</lastBuildDate>
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      <title>MLOps Engineer / Machine Learning Engineer - Hays Technology</title>
      <link>https://jobs.co.uk/job/mlops-engineer-machine-learning-engineer-hays-technology--f5a6fb8c-774b-4255-bca1-7610cd37de8a</link>
      <guid>https://jobs.co.uk/job/mlops-engineer-machine-learning-engineer-hays-technology--f5a6fb8c-774b-4255-bca1-7610cd37de8a</guid>
      <pubDate>Mon, 15 Jun 2026 23:00:00 GMT</pubDate>
      <description>Location: Portsmouth | Salary: &amp;pound;537/day Up to &amp;pound;537 INSIDE | Type: Contract | MLOps Engineer / Machine Learning Engineer    Location:  Portsmouth (2 days every other week on-site, remainder remote)   Rate:  Up to -537 per day (Umbrella only)   Clearance:  MOD SC Clearance required (enhanced vetting applies)   Your new company   You will be joining a leading global consultancy delivering critical digital transformation programmes within the public sector.  This role sits within a highly secure environment, supporting the development of advanced machine learning and MLOps capabilities across multiple use cases.   Your new role   As an MLOps Engineer, you will be responsible for developing and enhancing MLOps capabilities, enabling the deployment, scaling, and monitoring of machine learning solutions to secure and complex environments. You will work across engineering, DevOps, and data science teams to deliver robust, automated, and production-ready ML pipelines.   What you''ll be doing    Develop and improve MLOps frameworks across multiple machine learning use cases  Build and maintain CI/CD pipelines using GitLab (YAML-based)  Deploy and manage containerised applications using Docker and Kubernetes  Implement DevSecOps practices, including security scanning ...</description>
      <category>Contract</category>
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