National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Machine Learning Engineer - Defence Sector - Cambridge

Newton Colmore
Cambridge
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer - Bioimage Data & Agentic Systems

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer (AGI ), AGI Vertical Service Inference & Engine

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer - Defence Sector - Cambridge

A growing organisation within the Defence Sector, based in Cambridge, is currently seeking a skilled Machine Learning Engineer or Artificial Intelligence Engineer to contribute to the ongoing development of defence, security, and intelligence technologies.

This is an expanding organisation offering intriguing career development opportunities based on success. You will work on a variety of projects, ranging from small individual initiatives to large ongoing projects, where you will collaborate with mechanical engineers, electronics engineers, inventors, scientists, and other industry experts.

Given that you will be working on cutting-edge technologies with potential applications in corporate and national security measures, the ability to obtain security clearance is necessary.

Ideally, you will have experience in Machine Learning or Artificial Intelligence projects spanning several years. While experience in the defence sector would be highly advantageous, it is not a strict requirement.

What makes this organisation truly fascinating is its structure, which enables you to tackle some of the world's most intriguing problems without the bureaucratic hurdles often encountered in larger organisations.

It is expected that you hold a degree that has prepared you for a role in Machine Learning or Artificial Intelligence.

In addition to working on highly challenging and captivating projects, you will receive a competitive salary, bonuses, pension benefits, complimentary meals, health insurance, ongoing skills training, and other outstanding perks.

If you seek daily challenges and the opportunity to work on projects at the forefront of the ML/AI field, we encourage you to apply now, as we anticipate significant interest in this role.

For more information, please do not hesitate to call Andrew Welsh, Director of Medical Devices Recruitment and Scientific Recruitment Specialist at Newton Colmore, on (phone number removed), or submit an application, and a member of our Newton Colmore team will contact you.

Newton Colmore Consulting is a specialist recruitment company within the Medical Devices, Scientific Engineering, Scientific Software, Robotics, Data Science, Healthcare Communications, Science, Electronics Design, New Product Design, Human Factors, Regulatory Affairs, Quality Assurance, and Field Service Engineering sectors

National AI Awards 2025

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.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.