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    <title>MLOps Platform Developer / Full-Stack AI Engineer - Anonymous RSS Feed</title>
    <link>https://jobs.co.uk/job/mlops-platform-developer-full-stack-ai-engineer-anonymous--681759c4-305b-4225-b034-81b0c2211223</link>
    <description>RSS feed for MLOps Platform Developer / Full-Stack AI Engineer at Anonymous.</description>
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    <lastBuildDate>Fri, 14 Aug 2026 14:22:28 GMT</lastBuildDate>
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      <title>MLOps Platform Developer / Full-Stack AI Engineer - Anonymous</title>
      <link>https://jobs.co.uk/job/mlops-platform-developer-full-stack-ai-engineer-anonymous--681759c4-305b-4225-b034-81b0c2211223</link>
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      <pubDate>Fri, 14 Aug 2026 11:52:00 GMT</pubDate>
      <description>Location: London | Salary: 10000-500000 Annual | Type: Permanent | Job Title: MLOps Platform Developer Location: London Salary: Depending on experience Job Type: Full time, Permanent This is a rare opportunity to be first in the door to continue the development of our engineering platform. You will own a production system end to end - the web application, the database estate, the data pipelines, the deployments, the integrations and the LLM serving stack. What''s involved?  Genuine full-stack breadth in one codebase: a React/TypeScript application, a Postgres estate with 100-million-row telemetry tables, serverless functions, MQTT ingestion from building management systems. LLM model training in the specialist fields our clients value most. It could be a housing estates network or a shopping centre, each LLM is tailored to their exact use case. Neural LLM-assisted engineering at the sharp end: coding agents are a first-class part of how the platform is built, and you will get very good at directing them, verifying them and knowing where they lie. Operational technology: BACnet, Trend, JACE and Tridium controls, data points all working together to optimise and commission real engineering systems. The energy transition, concretely: heat networks are...</description>
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