Latest Defence Jobs

Senior Manager (Safety)

This role involves leading the delivery of AI safety evaluations and red teaming projects, forming strong relationships with clients and technical partners, and advising on AI safety strategy. The position requires a deep understanding of applied AI safety, commercial consulting, and the ability to bridge technical research with strategic business challenges.

Faculty London, Greater London, United Kingdom

Hybrid Permanent

Lead Forward Deployed Engineer

Lead the technical direction of complex AI and machine learning projects, from strategy through to client deployment, while mentoring engineering teams and shaping reusable solutions across the organisation. Design scalable, reliable systems using Python and cloud platforms, and act as a technical advisor to both internal teams and external clients in high-stakes, regulated environments. Drive innovation by evaluating and integrating new technologies while ensuring architectural soundness and delivery excellence.

Faculty London, Greater London, United Kingdom

On-site Permanent

Customer Director

The Customer Director will lead strategic account growth and client relationships within Faculty AI's Life Sciences division, overseeing the delivery of AI-driven solutions for major pharma, MedTech, and research partners. This role involves high-level commercial negotiation, cross-functional team leadership, and translating complex data concepts into impactful business outcomes. The position requires a blend of technical understanding, business development acumen, and senior stakeholder engagement in the life sciences sector.

Faculty AI London, Greater London, United Kingdom

Hybrid Permanent

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, Greater London, United Kingdom

Remote Permanent

Graduate AI and Secure Technologies Engineer (2026 start)

Work on cutting-edge security and AI engineering challenges across critical infrastructure, defence, and emerging technologies. Contribute to threat modelling, secure-by-design architectures, vulnerability analysis, and security assurance in multidisciplinary teams. Engage in full lifecycle engineering from concept to deployment, with opportunities to interact directly with clients and develop technical prototypes.

Cambridge Consultants United Kingdom

Graduate AI and Secure Technologies Engineer (2027 start)

This role involves working on real-world engineering challenges in cyber security, AI, embedded systems, and connected technologies. You'll contribute to threat modelling, security risk assessments, and secure-by-design system architectures, collaborating with multidisciplinary teams on projects across various sectors including defence, industrial systems, and critical infrastructure.

Cambridge Consultants United Kingdom

On-site Permanent Clearance Required

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 traveling globally to co-develop solutions on-site. The engineer will work with 3D data, CAE/CFD/FEA models, and time-series forecasting, translating R&D into robust, reusable tools.

PhysicsX New York, United States US$200,000 – US$250,000 pa

On-site Permanent Clearance Required

Forward Deployed Software Engineer

Design and build end-to-end applications that integrate AI-driven physics models into real-world engineering workflows. Collaborate with customers and technical teams to prototype, deploy, and iterate tools that solve complex engineering challenges across industries like aerospace, energy, and semiconductors. Work across the full stack with a focus on backend services, cloud infrastructure, and customer-driven product development.

PhysicsX New York, NE29 8EP, United States US$150,000 – US$250,000 pa

Principal CFD Engineer

This role involves building and validating high-fidelity, multi-physics CFD models for real-world engineering challenges across aerospace, energy, and automotive sectors. The engineer will integrate simulations with AI-driven workflows, automate CAD and simulation pipelines, and collaborate directly with customers on-site to deliver optimised design solutions. A key focus is generating high-quality datasets for training machine learning models while advancing simulation best practices in an AI-CAE integrated environment.

PhysicsX Singapore

On-site Permanent

Principal Data Scientist / Algorithm Engineer

This role involves developing and deploying AI-driven models for high-fidelity, multi-physics simulation in engineering and manufacturing contexts. The Principal Data Scientist will lead the design of deep learning and optimisation methods, preprocess complex engineering data, and integrate models into production-ready pipelines. Working closely with simulation engineers and customers, the role emphasizes technical leadership, on-site collaboration, and mentoring, with significant influence on product development and AI model deployment across aerospace, energy, semiconductors, and other advanced industries.

PhysicsX Singapore

Hybrid Permanent

Principal Machine Learning Engineer

Develop and deploy machine learning models integrated with engineering simulation data, focusing on scalable pipelines and real-world deployment in high-fidelity physics environments. Work directly with customers to translate AI research into production-grade tools, using 3D data, time-series forecasting, and optimization models. Lead technical architecture, mentor teams, and travel on-site to support implementation across aerospace, energy, and advanced manufacturing sectors.

PhysicsX Singapore

Hybrid Permanent

Senior Applied Engineer

Develop and scale physical foundation models for AI-driven engineering simulation, bridging research and production. Work across the full stack from distributed training on multi-GPU cloud infrastructure to robust software implementation, collaborating with scientists and engineers to solve real-world physics problems. Contribute to reusable libraries and mentor team members in a high-impact, research-led environment.

PhysicsX Singapore

Hybrid Permanent

Senior Infrastructure Engineer, Research

This role involves designing and operating distributed training infrastructure for large physics models using NVIDIA DGX B200 systems, with a focus on optimizing training pipelines, data I/O performance, and model serving. The engineer will work closely with research scientists and ML engineers to enable efficient, scalable AI training and deployment in high-performance computing environments, while also building observability and reproducibility into the research workflow.

PhysicsX Singapore

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, Greater 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, Greater London, United Kingdom