Machine Learning Engineer - Defence

eFinancialCareers
London, United Kingdom
2 weeks ago
£60,000 – £90,000 pa
Applications closed

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Randstad Technologies Recruitment London, City And County Of the City Of London, United Kingdom
£450 – £500 pd Hybrid

Salary

£60,000 – £90,000 pa

Job Type
Permanent
Work Location
Hybrid
Education
Degree
Security Clearance
Required
Posted
5 Jun 2026 (2 weeks ago)

Benefits

Flexible Working
££60,000 - £90,000 GBP

Hybrid WORKING

Location: Manchester;Bristol;London;Newcaslte , Manchester, North West - United KingdomType: Permanent

Machine Learning Engineer

Newcastle | Manchester | Bristol | London | Hybrid | Permanent

Our client is a specialisttechnology consultancy delivering high-impact engineering across defence and complex environments, supporting organisations operating in secure, mission-critical settings. The focus is on solving complex problems through advanced machine learning and AI capabilities within constrained and high-assurance environments.

This role offers the opportunity to work oncutting-edge machine learning and large language model (LLM) systems, contributing to impactful solutions where performance, reliability, and security are critical.

You'll have the opportunity to:
  • Design and developmachine learning and LLM-based solutions
  • Work on advanced AI systems withinsecure and constrained environments
  • Apply deep technical knowledge acrossML, statistics, and optimisation
  • Contribute to real-world AI applications in defence and high-assurance settings
  • Collaborate with engineers and clients to solve complex challenges
  • Take ownership of delivery within high-impact projects
Your Responsibilities:
  • Develop and deploymachine learning models and LLM-based systems
  • Apply knowledge oftransformer architectures and LLM principles
  • Optimise modelperformance, inference, and efficiency
  • Evaluate model behaviour using established performance frameworks
  • Contribute to solutions deployed inedge, constrained, or air-gapped environments
  • Apply best practices inAI safety, explainability, and robustness
  • Collaborate with engineering teams to integrate ML systems into production environments
Key Requirements:
  • Strong understanding ofmachine learning fundamentals
  • Solid foundation inmathematics and statistics
  • Hands-on experience withLLMs and transformer architectures
  • Experience withmodel evaluation and inference optimisation
  • Strong programming experience (typically Python)
  • Ability to work on complex problems within constrained environments
  • Strong analytical and problem-solving capability
  • Clear communication skills and ability to work in client-facing environments
  • UK national, eligible forUK Security Clearance (SC)
You will gain exposure with:
  • AdvancedLLM and AI system development
  • Deployment of ML systems insecure and resource-constrained environments
  • Real-world applications ofAI safety and explainability
  • High-impact defence and national security programmes
  • Complex engineering challenges requiring both theory and practical delivery
Why Join:
  • Work oncutting-edge AI problems with real-world implications
  • Operate within a high-performance, engineering-focused environment
  • Gain exposure toadvanced ML, LLMs, and secure systems
  • Take ownership of meaningful technical delivery
  • Flexible working acrossNewcastle, Manchester, Bristol, and London
Interested? Apply now.

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