Top Engineering Jobs in London

Develops AI and autonomy applications using Shield AI’s Hivemind SDK for unmanned platforms. Deploys autonomy infrastructure at customer sites, supports vehicle and software integrations, troubleshoots API issues, trains customers, creates technical documentation, and collaborates with product and engineering teams. The role also supports complex technical customer inquiries and requires approximately 30% travel.

Develop and deploy Hivemind AI and autonomy applications for unmanned platforms, integrate software with customer vehicles, troubleshoot API issues, train customers, create documentation, and support technical customer inquiries. The role collaborates with product and engineering teams and requires approximately 30% travel to customer sites.

Leads systems engineering for autonomous defense systems, translating mission and customer needs into requirements, architectures, interfaces, and verification strategies. Collaborates across autonomy, software, avionics, hardware, and testing teams; develops C++ and Python tools and prototypes; investigates system behavior using simulation, logs, telemetry, and engineering data; and supports integration across software-in-the-loop, hardware-in-the-loop, ground, and flight testing.

Designs, builds, secures, and operates software delivery infrastructure for autonomous defense systems. Develops CI/CD pipelines, integrates automated security controls, manages cloud and on-premises environments, and applies UK MOD/NATO Secure by Design, cyber risk management, and security assurance principles. Collaborates with software, autonomy, systems, integration, cybersecurity, and test engineering teams to deliver reliable software across classified and operational environments.

Develop, integrate, debug, and test autonomy software across unmanned aircraft and autonomous systems. Responsibilities include C++ and Python development, hardware and software integration, simulation, flight testing, telemetry analysis, Ground Control Station support, field demonstrations, troubleshooting, and operational deployment activities in Ukraine. The role collaborates across autonomy, systems, hardware, and flight-test teams in dynamic field environments.

Leads development of high-performance C++ software, real-time and distributed simulation systems, and complex software and hardware integrations. Architects scalable systems-of-systems solutions, establishes technical standards, mentors engineers, and leads projects with 10 or more contributors. Responsibilities include debugging, optimization, agile development, continuous integration, test-driven development, task decomposition, and collaboration across teams.

Deploys, integrates, maintains, and develops AI training factory components in isolated environments. Responsibilities include integrating tooling onto hardware, managing software updates and configuration across environments, ensuring platform reliability, coordinating with autonomy teams, troubleshooting distributed systems, and developing automation. The role requires cloud, Kubernetes, Linux networking, C++ or Python application support, and onsite availability in London.

Leads engineering teams developing and deploying autonomy solutions for unmanned weapon systems. Owns system architecture, technical objectives, engineering decisions, risk mitigation, product quality, technical requirements, system documentation, and software delivery. Provides technical oversight for internal R&D and defense contracts, supports customer-facing engineering leadership, contributes to government proposals, and manages teams of 6–20 engineers.

Integrate and deploy autonomy software onto unmanned aircraft, prepare flight-ready systems, support on-site flight tests, debug hardware/software, capture and analyze flight data, collaborate with autonomy/GNC/test teams, and support certification and continuous improvement for reliable autonomous operations.

Lead design and delivery of tactical autonomy and motion-planning software for unmanned platforms. Architect, implement, test, and sustain multi-agent behaviors, integrate with sensors and vehicle systems, and drive product-line reuse and cross-team collaboration throughout the software lifecycle.