<?xml version="1.0" encoding="utf-8"?>
<rss version="2.0">
  <channel>
    <title>Machine Learning Engineer - Randstad Technologies Recruitment RSS Feed</title>
    <link>https://jobs.co.uk/job/machine-learning-engineer-randstad-technologies-recruitment--54101e91-d29b-4ccb-a914-04bfe1b1e90b</link>
    <description>RSS feed for Machine Learning Engineer at Randstad Technologies Recruitment.</description>
    <language>en-gb</language>
    <lastBuildDate>Thu, 11 Jun 2026 14:26:52 GMT</lastBuildDate>
    <item>
      <title>Machine Learning Engineer - Randstad Technologies Recruitment</title>
      <link>https://jobs.co.uk/job/machine-learning-engineer-randstad-technologies-recruitment--54101e91-d29b-4ccb-a914-04bfe1b1e90b</link>
      <guid>https://jobs.co.uk/job/machine-learning-engineer-randstad-technologies-recruitment--54101e91-d29b-4ccb-a914-04bfe1b1e90b</guid>
      <pubDate>Thu, 11 Jun 2026 11:52:04 GMT</pubDate>
      <description>Location: London | Salary: 525.00-525.00 Daily | Type: Contract | Machine Learning Engineer Location: England, UK - RemoteDuration: 6-Month Contract with potential extensionPayrate:  525 - 715 per day Inside IR35About the RoleWe are looking for a seasoned Machine Learning Engineer to join our Client Subscription Mission for a 6-month contract. In this role, you will bypass recommendation engines and generative AI to dive into classic production ML problems directly impacting business growth (MAUs and Subscriber metrics). Specifically, you will anchor their Payments Optimization efforts-improving payment retry mechanisms, reducing failures, and collaborating on network token optimization within their commerce domain.You''ll step into an agile, highly collaborative environment of 5-6 tightly-knit engineers with daily stand-ups and a strong peer-support structure.What We Are Looking ForExperience: Minimum 5+ years of proven industry experience working on production-level ML systems. (Note: This is a system-heavy deployment role, not a research or prototyping position).The Technical Stack: Strong proficiency in TensorFlow is strictly required. Experience with Kubeflow is a massive plus.Lifecycle Ownership: Complete comfort handling the end-to-end ML ...</description>
      <category>Contract</category>
    </item>
  </channel>
</rss>