Machine Learning Engineer - Xcede

Jobster
City of London
1 day ago
Create job alert
Overview

Up to 145k Xcede has just partnered with one of the UK’s most established applied AI companies to support the growth of their senior engineering leadership team.

Lead Machine Learning Engineer

Up to 145k Xcede has just partnered with one of the UK’s most established applied AI companies to support the growth of their senior engineering leadership team.

This is a principal-level technical role for someone who wants to shape how large-scale AI systems are designed, built, and delivered across multiple industries. You’ll take ownership of major machine learning programmes from concept through to live operation, setting technical direction, designing resilient platforms, and leading teams through complex delivery environments.

You’ll work across multiple client initiatives, defining long-term engineering strategy, building shared internal platforms, introducing modern tooling and delivery practices, and acting as the senior technical decision-maker on high-impact AI programmes.

This role is ideal for someone who thrives in ambiguous environments, enjoys solving difficult delivery challenges, and wants to operate as a technical authority at board and executive level.

Requirements:

  • You are widely regarded as a senior engineering leader with deep expertise in modern machine learning systems and large-scale platforms
  • Advanced Python engineering capability
  • Strong experience building and operating systems on major public cloud platforms e.g. Azure
  • Hands-on background deploying distributed applications using container platforms and running them at scale using orchestration frameworks
  • Proven experience leading senior engineering teams, setting technical vision, and raising delivery standards
  • Strong ownership mindset — you take responsibility for outcomes, not just architecture
  • Track record designing novel solutions for complex, high-risk delivery programmes
  • Confident communicator able to influence executive stakeholders and align business and engineering priorities

If you are interested in this or other Lead Ml Engineering positions, please contact Gilad Sabari @ |

#Jobster


#J-18808-Ljbffr

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

Education

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

Jobs Careers

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.