Latest Defence Jobs

Senior Electronics Engineer (Digital Focus)

This role involves designing and solving complex digital electronics challenges across diverse industries such as defence, healthcare, and telecommunications. You'll lead high-speed electronics development, work on cutting-edge FPGA and processor-based systems, and debug hardware using advanced tools and in-house labs. The role emphasizes innovation, technical ownership, and collaboration within multidisciplinary teams on novel, non-repetitive projects.

Cambridge Consultants United Kingdom

On-site Permanent Clearance Required

PhD Physicist

This role involves tackling complex, multidisciplinary challenges across healthcare, defence, and energy by applying advanced physics and experimental techniques to real-world engineering problems. You'll work on innovative projects such as novel imaging systems, ultrasonic measurement, and magnetic positioning, combining theoretical knowledge with hands-on development. The position emphasizes rapid learning, technical creativity, and collaboration within a supportive, R&D-focused environment.

Cambridge Consultants United Kingdom

On-site Permanent Clearance Required

Lead Machine Learning Engineer

Lead Machine Learning Engineer to define technical direction for complex AI projects, design scalable ML systems, and guide delivery across high-risk, ill-defined environments. Will lead architectural decisions, mentor engineers, develop reusable tools, and act as a technical advisor to clients in regulated sectors. Focus on operationalising models using Python and major cloud platforms with containerised deployment via Docker and Kubernetes.

Faculty AI London, United Kingdom

Hybrid Permanent

Associate

This role involves scoping, building, and delivering custom AI solutions for major financial institutions, translating complex operational needs into actionable technical requirements. You'll work closely with both clients and engineering teams to ensure AI tools are effectively designed, tested, and deployed in regulated environments. The position emphasizes client engagement, workflow design, and contributing to strategic capability development within a high-impact AI consultancy.

Faculty AI London, United Kingdom

Hybrid Permanent

Machine learning Engineer

This role involves building and deploying production-grade machine learning systems for clients across energy, infrastructure, and government sectors. The engineer will work on scalable ML solutions, define best practices for deployment, and collaborate with cross-functional teams to deliver real-world AI impact. Emphasis is placed on operationalising models, cloud infrastructure, and translating technical concepts for non-technical stakeholders.

Faculty London, United Kingdom

Hybrid Permanent Clearance Required

Lead Machine Learning Engineer

Leads the technical direction of complex AI/ML projects, designing scalable production systems and guiding engineering teams in high-risk environments. Focuses on building robust ML infrastructure, CI/CD pipelines, and deploying AI platforms for government and public sector clients. Provides architectural leadership and mentors engineers while driving innovation in responsible AI.

Faculty London, United Kingdom

Hybrid Permanent Clearance Required

Unreal Engine Developer - Synthetic Data / AI

Develop and scale Unreal Engine 5 applications to generate high-quality synthetic imagery for training and validating AI and computer vision models. Collaborate with AI researchers, 3D artists, and engineers to automate complex scene generation workflows involving lighting, weather, and camera systems. Transform research prototypes into robust, production-grade software with CI/CD integration and support deployment in secure environments.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £55,000 – £70,000 pa

Machine Learning Engineer - Spiking Neural Networks

Develop an engineering-grade spiking neural network engine for machine vision applications in defence and security contexts. Translate advanced research into robust production software using C++ and machine vision techniques. Collaborate with researchers and engineers on SNNs, CNNs, and Transformers, with integration into operational systems.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £75,000 – £100,000 pa

Hybrid Permanent Clearance Required

Principal Solutions Engineer - Aerospace & Defense

Lead business development and technical delivery for AI-driven simulation solutions in aerospace and defense, engaging senior engineering leaders to identify opportunities, shape go-to-market strategy, and drive customer adoption. Own end-to-end customer outcomes, from proposal scoping to project execution, while feeding product insights back to the engineering team. Maintain a visible presence in the A&D community through events and strategic account management.

PhysicsX England US$175,000 – US$250,000 pa

Deployment Strategist - Aerospace & Defense

This role involves leading business development and delivery for an AI-driven engineering simulation platform within the aerospace and defense sector. The individual will identify and close opportunities, manage strategic customer relationships, lead technical delivery projects, and translate field insights into product improvements. It combines technical depth in engineering simulation with commercial leadership and cross-functional execution in a high-impact, deep-tech environment.

PhysicsX United Kingdom US$175,000 – US$250,000 pa

Protection Scientist Engineer, Intelligence and Investigations

Design and build systems to proactively detect and enforce against abuse on OpenAI's products, including monitoring for new launches and responding to critical escalations. Work cross-functionally with product, policy, and engineering teams to develop scalable safety mitigations and investigate high-risk harms. The role involves handling sensitive content and participating in an on-call rotation for urgent issues.

OpenAI London, United Kingdom

On-site Permanent Clearance Required

Senior Security Engineer (AI Safety), London, Lausanne

This role involves securing AI-driven drug discovery systems by designing risk frameworks, protecting ML model artifacts, and implementing security controls across the AI lifecycle. The engineer will lead incident response for AI-specific threats, safeguard autonomous agentic workflows, and ensure compliance with evolving regulations like the EU AI Act. Close collaboration with ML researchers and platform teams is essential to embed security into high-velocity scientific innovation.

Isomorphic Labs United Kingdom

Hybrid Permanent

Senior Engineer

This role involves modernising the digital workplace by leading the implementation and governance of Microsoft 365 E5 services, including identity, endpoint management, security, and compliance. A key focus is driving AI adoption through Microsoft 365 Copilot and Copilot Studio, building automation, and delivering training to enhance productivity. The engineer will also develop AI governance frameworks, create operational dashboards, and provide technical leadership across the platform.

dunnhumby London, United Kingdom

Hybrid Permanent

Staff+ Software Engineer, Safeguards Infrastructure

Build foundational systems for AI safety, oversight, and intervention mechanisms, focusing on detecting unwanted model behaviors and preventing disallowed use. Develop infrastructure for data management, metrics, evaluations, and review tooling while ensuring high operational reliability and scalability. Work across the stack to create multi-layered, real-time safety defenses with minimal human intervention.

Anthropic London, United Kingdom £255,000 – £325,000 pa

Hybrid Permanent

Senior HPC Performance Engineer

This role involves analyzing HPC applications across diverse architectures, from single-core benchmarks to large-scale distributed systems with CPUs, GPUs, and many-core processors. The engineer will identify performance bottlenecks and optimization opportunities to guide compiler and application development teams. Work includes supporting customer GPU acceleration efforts and deep performance analysis using tools and techniques tailored to parallel and heterogeneous computing environments.

NVIDIA Germany

Remote Permanent