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    <title>MLOps Engineer - Morson Edge RSS Feed</title>
    <link>https://jobs.co.uk/job/mlops-engineer-morson-edge--a3db34fb-163e-45e3-ba3b-a7de5f8dbc94</link>
    <description>RSS feed for MLOps Engineer at Morson Edge.</description>
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    <lastBuildDate>Mon, 15 Jun 2026 12:29:36 GMT</lastBuildDate>
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      <title>MLOps Engineer - Morson Edge</title>
      <link>https://jobs.co.uk/job/mlops-engineer-morson-edge--a3db34fb-163e-45e3-ba3b-a7de5f8dbc94</link>
      <guid>https://jobs.co.uk/job/mlops-engineer-morson-edge--a3db34fb-163e-45e3-ba3b-a7de5f8dbc94</guid>
      <pubDate>Thu, 04 Jun 2026 23:00:00 GMT</pubDate>
      <description>Location: London | Salary: &amp;pound;700 - &amp;pound;800/day None | Type: Contract | MLOps Engineer    Location: Remote (Occasional travel to their London office)  Contract: Inside IR35  Day rate: Up to £800 per day  Duration: 6 months  Start date: ASAP  Key words: Machine Learning, Python, containerization (Docker), CI/CD, Azure    As part of our Client''s AI Engineering team, you will own the infrastructure and delivery pipelines that keep our AI-driven products reliable, scalable, and fast. You will design and maintain the cloud environments, CI/CD workflows, and observability systems that enable our engineers to ship with confidence.  Key Skills:  - Solid programming skills in Python (plus experience with web libraries like FastAPI, Flask, or Django)  - Hands-on experience with ML model deployment and monitoring in production Knowledge of containerization (Docker)  - Experience with CI/CD pipelines and cloud environments (we use Azure)  Assignment Objectives  - Implement or improve model monitoring and operational controls for AI/ML systems.  - Build and maintain robust ML pipelines for training, deployment, and monitoring  - Develop backend systems and APIs that integrate AI into our SaaS platform  - Take ownership of the ML performance, monitoring, availabili...</description>
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