<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0">
  <channel>
    <title>AI Platform Engineer - Lucid Support Services Ltd RSS Feed</title>
    <link>https://jobs.co.uk/job/ai-platform-engineer-lucid-support-services-ltd--776d5ed3-f539-4c27-b862-e4c80eda9396</link>
    <description>RSS feed for AI Platform Engineer at Lucid Support Services Ltd.</description>
    <language>en-gb</language>
    <lastBuildDate>Wed, 02 Sep 2026 17:22:33 GMT</lastBuildDate>
    <item>
      <title>AI Platform Engineer - Lucid Support Services Ltd</title>
      <link>https://jobs.co.uk/job/ai-platform-engineer-lucid-support-services-ltd--776d5ed3-f539-4c27-b862-e4c80eda9396</link>
      <guid>https://jobs.co.uk/job/ai-platform-engineer-lucid-support-services-ltd--776d5ed3-f539-4c27-b862-e4c80eda9396</guid>
      <pubDate>Wed, 02 Sep 2026 11:53:32 GMT</pubDate>
      <description>Location: Moffat | Salary: 10000-500000 Annual | Type: Contract | AI Platform Engineer   Hybrid- Remote/London  6 months +  Inside IR35  SC Clearance (or eligible)   Our customer, a central government organization, are building an enterprise-grade AI platform to enable secure, scalable and production-ready use of Generative AI and ML across the programme.  The AI Platform Engineer will translate architectural designs into working systems, implementing AI services that integrate cleanly into enterprise applications, workflows and SDLC processes.  This is a hands-on engineering role focused on production.   Strong Back End and cloud engineering experience  Infrastructure-as-code (eg Terraform, Ansible)  Experience building scalable APIs and distributed systems  Familiarity with Bedrock AI services  Enterprise security and governance awareness   The Platform Engineer - AI Platform is responsible for building and maintaining the foundational infrastructure that enables secure, scalable and reusable AI capability across CDS. This role focuses on cloud-native architecture, reusable service patterns and platform automation rather than individual use case delivery.  Key Responsibilities:   Design and implement reusable AI service scaffolding (API wrapper...</description>
      <category>Contract</category>
    </item>
  </channel>
</rss>