Lead Machine Learning Engineer

Xcede
London
4 days ago
Applications closed

Related Jobs

View all jobs

Lead Machine Learning Engineer

Lead Machine Learning Engineer (Sports Insights)

Lead Machine Learning Engineer (Sports Insights)

Lead Machine Learning Engineer, Gen AI

Lead Machine Learning Engineer, AI

Machine Learning Engineer - Tech Lead

Job Description

Lead ML Engineer:

Up to 145k


Xcede has just started working with one of the leading applied AI companies in the UK. If you want to make a real meaningful impact on the environment this is the job for you!

This senior technical leadership role is focused on building and deploying production-grade AI systems for large-scale infrastructure, sustainability, and energy transition programmes.

You will define engineering strategy for large-scale machine learning initiatives, architect and deliver resilient AI platforms, lead multi-stream programmes in ambiguous environments, build shared internal tooling, hire and mentor senior engineers, introduce new technologies and ways of working, and act as a trusted technical authority for senior stakeholders.


Requirements:


  • You are recognised as a senior technical authority, able to dive deep into complex problems while maintaining a broad perspective across modern engineering and machine learning systems.
  • Proficiency with Python
  • Proficiency with leading public cloud platforms e.g Azure
  • You have practical experience packaging and deploying applications using modern container platforms and managing them at scale with cluster orchestration systems.
  • You have a proven ability to lead and develop engineering teams, setting c...

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.

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.

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.

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.