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

Nominate & Attend

Machine Learning Engineer - £90,000 - eDV Cleared

Babcock
Cheltenham
1 month ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer (SC Cleared)

Machine Learning Engineer | Cambridge | Consulting

Machine Learning Engineer

Machine Learning Engineer

Role: Machine Learning Engineer
Location: Cheltenham
Salary: £90,000
Clearance Required: eDV

One of our key clients within the UK defence sector is seeking a Machine Learning Engineer to support the expansion of their applied AI and data science capability. Working on mission-critical systems where performance, reliability, and interpretability are essential. You will contribute to the development of advanced machine learning models that support a broad spectrum of defence applications, including real-time object detection, multi-sensor data fusion, anomaly detection in complex systems, and predictive analytics for operational readiness.

The role sits within a multidisciplinary engineering team, collaborating closely with software developers, data scientists, and subject matter experts to design, train, validate, and deploy ML solutions on secure, often resource-constrained platforms. A deep understanding of ML pipelines, data preprocessing, model optimisation, and deployment into production.

Key Responsibilities:

  • Designing and implementing robust ML models suited to real-time or mission-critical defence environments
  • Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data
  • Collaborating closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration
  • Conducting rigorous testing, validation, and documentation of all ML models in line with regulatory and operational standards
  • Staying current with emerging AI/ML techniques and assessing their applicability to defence applications

Essential Skills & Experience:

  • Strong background in machine learning, data science, or AI, with a degree in a related field
  • Solid programming skills in Python and proficiency with libraries such as TensorFlow and PyTorch,
  • Demonstrated ability to build and optimise ML pipelines from prototype to deployment
  • Understanding of algorithm performance in constrained or sensitive environments

Desirable:

  • Prior experience within the defence, aerospace, or national security sectors
  • Familiarity with computer vision, signal processing, or natural language processing
  • Exposure to MLOps, edge computing, or synthetic data generation
  • Knowledge of government or MOD procurement and technical frameworks is an advantage

If you are interested in the above position, please contact me, James Chapman on or email me at (even if you don't have a CV yet, I'd like to speak with you!)


#J-18808-Ljbffr

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.

10 AI Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

Generative‑AI hype has translated into real hiring: Lightcast recorded +57 % year‑on‑year growth in UK adverts mentioning “machine learning”, “LLM” or “gen‑AI” during Q1 2025. Yet supply still lags. Roughly 18,000 core AI professionals work in the UK, but monthly live vacancies hover around 1,400–1,600. That mismatch makes specialist recruiters invaluable—opening stealth vacancies, advising on salary bands and fast‑tracking interview loops. But many tech agencies sprinkle “AI” on their website without an active desk. To save you time, we vetted 50 + consultancies and kept only those with: A registered UK head office (verified via Companies House). A named AI/Machine‑Learning or Data practice.

AI Jobs Skills Radar 2026: Emerging Frameworks, Languages & Tools to Learn Now

As the UK’s AI sector accelerates towards a £1 trillion tech economy, the job landscape is rapidly evolving. Whether you’re an aspiring AI engineer, a machine learning specialist, or a data-driven software developer, staying ahead of the curve means more than just brushing up on Python. You’ll need to master a new generation of frameworks, languages, and tools shaping the future of artificial intelligence. Welcome to the AI Jobs Skills Radar 2026—your definitive guide to the emerging AI tech stack that employers will be looking for in the next 12–24 months. Updated annually for accuracy and relevance, this guide breaks down the top tools, frameworks, platforms, and programming languages powering the UK’s most in-demand AI careers.

How to Find Hidden AI Jobs in the UK Using Professional Bodies like BCS, IET & the Turing Society

Stop Scrolling Job Boards and Start Tapping the Real AI Market Every week a new headline announces millions of pounds flowing into artificial-intelligence research, defence initiatives, or health-tech pilots. Read the news and you could be forgiven for thinking that AI vacancies must be everywhere—just grab your laptop, open LinkedIn, and pick a role. Yet anyone who has hunted seriously for an AI job in the United Kingdom knows the truth is messier. A large percentage of worthwhile AI positions—especially specialist or senior posts—never appear on public boards. They emerge inside university–industry consortia, defence labs, NHS data-science teams, climate-tech start-ups, and venture studios. Most are filled through referral or conversation long before a recruiter drafts a formal advert. If you wait for a vacancy link, you are already at the back of the queue. The surest way to beat that dynamic is to embed yourself in the professional bodies and grassroots communities where the work is conceived. The UK has a dense network of such organisations: the Chartered Institute for IT (BCS); the Institution of Engineering and Technology (IET) with its Artificial Intelligence Technical Network; the Alan Turing Institute and its student-driven Turing Society; the Royal Statistical Society (RSS); the Institution of Mechanical Engineers (IMechE) and its Mechatronics, Informatics & Control Group; public-funding engines like UK Research and Innovation (UKRI); and an ecosystem of Slack channels and Meetup groups that trade genuine, timely intel. This article is a practical, step-by-step guide to using those networks. You will learn: Why professional bodies matter more than algorithmic job boards Exactly which special-interest groups (SIGs) and technical networks to join How to turn CPD events into informal interviews How to monitor grant databases so you hear about posts months before they exist Concrete scripts, portfolio tactics, and outreach rhythms that convert visibility into offers Follow the playbook and you move from passive applicant to insider—the colleague who hears about a role before it is written down.