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    <title>Senior MLOps Engineer - eTeam Workforce Limited RSS Feed</title>
    <link>https://jobs.co.uk/job/senior-mlops-engineer-eteam-workforce-limited--6b1ffc0c-fbfd-4c2c-9630-789ee433808f</link>
    <description>RSS feed for Senior MLOps Engineer at eTeam Workforce Limited.</description>
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    <lastBuildDate>Tue, 11 Aug 2026 18:14:10 GMT</lastBuildDate>
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      <title>Senior MLOps Engineer - eTeam Workforce Limited</title>
      <link>https://jobs.co.uk/job/senior-mlops-engineer-eteam-workforce-limited--6b1ffc0c-fbfd-4c2c-9630-789ee433808f</link>
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      <pubDate>Tue, 11 Aug 2026 11:57:08 GMT</pubDate>
      <description>Location: London | Salary: 322.00-322.00 Daily | Type: Contract | We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. Role Title: Senior MLOps EngineerLocation: London/HorshamDuration: 01/02/2027 Role Overview  We are seeking an experienced Senior MLOps Engineer to support the design, implementation, and optimisation of enterprise-scale MLOps platforms on Microsoft Azure. Working closely with Solution and Enterprise Architects, the successful candidate will help build and operate scalable machine learning platforms on Kubernetes, with a focus on model life cycle management, observability, low-latency inference, platform reliability, and cost efficiency.  Key Responsibilities  Partner with Architects to design and implement end-to-end MLOps solutions on Azure. Build and operate scalable ML platforms using Azure Kubernetes Service (AKS) and cloud-native technologies. Develop CI/CD and Continuous Training (CT) pipelines for machine learning workloads. Deploy, manage, and optimise ML workloads in Kubernetes environments. Implement model serving capabilities that meet high-availability and low-latency requirements. Configure autoscaling, traffic man...</description>
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