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    <title>Senior AI/ML Software Engineer (LLM Focus) - Ion recruitment RSS Feed</title>
    <link>https://jobs.co.uk/job/senior-aiml-software-engineer-llm-focus-ion-recruitment--7747747c-4ee3-4404-b12c-46d468c000af</link>
    <description>RSS feed for Senior AI/ML Software Engineer (LLM Focus) at Ion recruitment.</description>
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    <lastBuildDate>Thu, 25 Jun 2026 04:55:55 GMT</lastBuildDate>
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      <title>Senior AI/ML Software Engineer (LLM Focus) - Ion recruitment</title>
      <link>https://jobs.co.uk/job/senior-aiml-software-engineer-llm-focus-ion-recruitment--7747747c-4ee3-4404-b12c-46d468c000af</link>
      <guid>https://jobs.co.uk/job/senior-aiml-software-engineer-llm-focus-ion-recruitment--7747747c-4ee3-4404-b12c-46d468c000af</guid>
      <pubDate>Mon, 22 Jun 2026 23:00:00 GMT</pubDate>
      <description>Location: Guildford | Salary: &amp;pound;65000 - &amp;pound;100000/annum BLUE-CHIP BENEFITS | Type: Permanent | Senior AI/ML Software Engineer (LLM Focus)    Location:  Guildford (office based role)   Salary and benefits:  £on experience + a truly outstanding package that includes an unrivalled holday entitlement.    Role Overview   Our client has tasked us to source  a talented Senior level  AI/ML Software Engineer  with strong  LLM  expertise to join their high-impact team building intelligent, cutting edge systems team.  This role has a clear emphasis on  Large Language Models  — designing, developing, and deploying advanced LLM-powered solutions that deliver real business value.  You’ll work at the intersection of software engineering and Large Language Models, taking LLMs from experimentation through to robust, scalable, and secure production systems integrated into both desktop and web applications.   What you’ll do:   	 Architect, fine-tune, and deploy  Large Language Model  solutions and pipelines 	 Integrate LLMs into existing C++ and web applications 	 Design and build production-grade LLM systems with a strong focus on performance, reliability, security, and cost-efficiency 	 Work extensively with unstructured data using  RAG  (Retrieval-Augmented Generation), alongside structured...</description>
      <category>Permanent</category>
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