<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0">
  <channel>
    <title>GenAI Python Engineer Needed - Sheffield (Hybrid) - Inside IR35 - iBSC RSS Feed</title>
    <link>https://jobs.co.uk/job/genai-python-engineer-needed-sheffield-hybrid-inside-ir35-ibsc--6bd1263f-532b-4832-aaeb-529d7ccf25c6</link>
    <description>RSS feed for GenAI Python Engineer Needed - Sheffield (Hybrid) - Inside IR35 at iBSC.</description>
    <language>en-gb</language>
    <lastBuildDate>Thu, 16 Jul 2026 16:29:25 GMT</lastBuildDate>
    <item>
      <title>GenAI Python Engineer Needed - Sheffield (Hybrid) - Inside IR35 - iBSC</title>
      <link>https://jobs.co.uk/job/genai-python-engineer-needed-sheffield-hybrid-inside-ir35-ibsc--6bd1263f-532b-4832-aaeb-529d7ccf25c6</link>
      <guid>https://jobs.co.uk/job/genai-python-engineer-needed-sheffield-hybrid-inside-ir35-ibsc--6bd1263f-532b-4832-aaeb-529d7ccf25c6</guid>
      <pubDate>Thu, 16 Jul 2026 11:52:21 GMT</pubDate>
      <description>Location: Sheffield | Salary: 10000-500000 Annual | Type: Contract | GenAI Python Engineer Location: Sheffield - Hybrid, 3 days per week onsite required Contract: Inside IR35 Duration: 6 - 12 Months Rolling Contract We are looking for an experienced GenAI Python Engineer with strong hands-on experience building end-to-end Generative AI and RAG applications within enterprise environments. The successful candidate will be responsible for integrating data from multiple systems, extracting and parsing information from documents and images, working with structured databases, storing content within vector databases, building robust retrieval pipelines, and ensuring solution quality through evaluation frameworks and ground-truth validation. Key Responsibilities  Design and build enterprise GenAI and RAG-based applications using data from multiple systems. Integrate structured and unstructured data sources, including databases, APIs, files and document repositories. Develop pipelines for extracting and parsing data from documents and images using OCR and document intelligence tools. Process, structure, chunk and prepare extracted content for AI use cases. Store and manage parsed content, embeddings and metadata within vector databases. Build and optimise re...</description>
      <category>Contract</category>
    </item>
  </channel>
</rss>