Latest Defence Jobs

Senior Machine Learning Engineer

Lead the design and deployment of production-grade machine learning systems for high-impact clients, particularly in the defence sector. Focus on scalable, ethical AI solutions using cloud platforms and modern MLOps practices. Mentor junior engineers and shape engineering standards while working across technical, product, and client teams.

Faculty AI London, United Kingdom

Hybrid Permanent Flexible Clearance Required

Lead Data Scientist

Lead a team of data scientists to design and deliver high-impact, production-grade AI solutions for clients in highly regulated sectors such as finance and professional services. Drive technical direction, lead complex project scoping, and act as a trusted advisor to clients while shaping best practices and mentoring junior staff. Work across the full project lifecycle from feasibility to deployment, balancing innovation, speed, and reliability in real-world applications of machine learning.

Faculty AI London, United Kingdom

Hybrid Permanent

Associate (National Security)

This role involves scoping, building, and delivering custom AI solutions for national security clients. The Associate will work closely with stakeholders to translate complex operational needs into technical requirements, conduct open-source analysis, and support the development of secure, high-impact AI tools. The position requires collaboration with technical teams and contributes to strategic capability development within a high-stakes, mission-driven environment.

Faculty London, United Kingdom

Permanent

Forward Deployed Engineer

This role involves building and deploying production-grade machine learning systems for high-impact clients in national security and AI safety. You'll work across the full ML lifecycle, design scalable software architecture, and act as a technical advisor to translate complex concepts for stakeholders. The role emphasizes operationalising models, defining deployment standards, and delivering bespoke AI solutions in collaboration with cross-functional teams.

Faculty London, United Kingdom

Permanent

Graduate Electronic Systems Engineer (2026 start)

Design and develop electronic systems across diverse domains including aerospace, defence, and consumer devices, with hands-on involvement in hardware design, FPGA development, PCB layout, and lab-based testing. Work in multidisciplinary teams on cutting-edge projects such as secure satellite communications and 5G antenna systems, gaining exposure to embedded software and system-level integration. Benefit from structured mentoring and real-world client engagement from day one.

Cambridge Consultants United Kingdom

On-site Permanent

Graduate Electronics & Software Engineer (2026 start)

Work on multidisciplinary engineering projects across consumer, industrial, and defence sectors, designing embedded systems, writing firmware in C or SystemVerilog, and developing hardware for innovative products. Engage in full project lifecycles from requirements to handover, with mentorship to grow technical and systems design expertise. Projects include robotics, AI-driven security solutions, and collaborative product development with major clients.

Cambridge Consultants United Kingdom

On-site Permanent Clearance Required

Machine Learning Engineer

A Machine Learning Engineer will collaborate with simulation engineers and customers to solve complex physics and engineering challenges using AI. The role involves building scalable ML pipelines, working with 3D point-cloud and mesh data, and translating R&D into deployable tools. Engineers will also travel to customer sites globally to implement solutions on-site, ensuring practical, impactful delivery across industries like aerospace, energy, and semiconductors.

PhysicsX England £150,000 – £190,000 pa

On-site Permanent Clearance Required

Machine Learning Software Engineer, Research

Develop and scale machine learning models for AI-driven physics and engineering simulations, translating research prototypes into robust, production-grade systems. Work across distributed training, cloud infrastructure, and high-performance computing to deliver foundational models used in aerospace, energy, and advanced manufacturing. Collaborate closely with research scientists and engineers to optimize performance and enable real-world impact.

PhysicsX London, United Kingdom

On-site Permanent

Senior Machine Learning Engineer

A Senior Machine Learning Engineer will lead the deployment of AI models into production environments for engineering and physics simulations, working closely with customers and cross-functional teams. The role involves building scalable ML pipelines, mentoring engineers, and translating R&D into practical tools using Python, PyTorch, and cloud/on-prem infrastructure. Frequent international travel and on-site collaboration are key aspects of the role.

PhysicsX London, United Kingdom

Senior Software Security Developer – Core Platform Services

This role involves designing and implementing core security features for a high-performance simulation platform, with a strong focus on authentication, secure coding standards, and cross-team collaboration. The developer will act as a security SME, conducting threat modeling, code reviews, and mentoring engineers across the organization. Work spans identity protocols, platform guardrails, and incident response support within a fast-paced, AI-driven engineering environment.

PhysicsX London, United Kingdom