<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0">
  <channel>
    <title>Machine Learning Engineer (Applied AI / Scientific Computing) - Ion recruitment RSS Feed</title>
    <link>https://jobs.co.uk/job/machine-learning-engineer-applied-ai-scientific-computing-ion-recruitment--713dac16-cf24-4e73-b7b5-1121e30bcee6</link>
    <description>RSS feed for Machine Learning Engineer (Applied AI / Scientific Computing) at Ion recruitment.</description>
    <language>en-gb</language>
    <lastBuildDate>Tue, 28 Apr 2026 08:51:24 GMT</lastBuildDate>
    <item>
      <title>Machine Learning Engineer (Applied AI / Scientific Computing) - Ion recruitment</title>
      <link>https://jobs.co.uk/job/machine-learning-engineer-applied-ai-scientific-computing-ion-recruitment--713dac16-cf24-4e73-b7b5-1121e30bcee6</link>
      <guid>https://jobs.co.uk/job/machine-learning-engineer-applied-ai-scientific-computing-ion-recruitment--713dac16-cf24-4e73-b7b5-1121e30bcee6</guid>
      <pubDate>Sun, 26 Apr 2026 23:00:00 GMT</pubDate>
      <description>Location: Guildford | Salary: &amp;pound;55000 - &amp;pound;70000/annum SUPERB BENEFITS PACKAGE | Type: Permanent | Machine Learning Engineer (Applied AI / Scientific Computing)      Location:  Surrey, UK ( Office based )  Details:  Full-Time | Truly competitive salary + Bonus + unrivalled benefits  A global software company is evolving its core engineering platforms by embedding  machine learning and applied AI  into high-performance simulation and modelling tools used worldwide.  This is a  hands-on applied AI role  — focused on building and deploying ML solutions inside production-grade engineering systems, not isolated research or experimental prototypes.   The position:   You’ll design, build, and deploy machine learning models that directly enhance complex engineering software products. Expect a blend of ML engineering, software development, and computational problem solving.  You’ll work across the full ML lifecycle, ensuring models are not only accurate, but efficient, scalable, and production-ready.   Key Responsibilities:   	 Build and deploy ML models into production engineering software systems 	 Own the full ML pipeline: data prep, feature engineering, training, evaluation, optimisation 	 Translate complex scientific/engineering problems into ML-driven solutions 	 Improve model perf...</description>
      <category>Permanent</category>
    </item>
  </channel>
</rss>