Top Tech Jobs & Startup Jobs in London

You will design, train, and deploy agents in multi-agent environments, enhancing our reinforcement learning capabilities and integrating cutting-edge AI into production systems.

As a Deployed AI Engineer, you'll integrate software into systems, collaborate on customer requirements, and troubleshoot issues while showcasing AI capabilities.

The Hardware Engineer will design, test, and integrate UAV systems, balancing mechanical and electronic aspects to ensure high performance and reliability.

The Marketing Manager will oversee product marketing campaigns, manage vendor relationships, create engaging content, and ensure cohesive marketing strategies within the defense sector.

Source, attract, screen, and interview software engineering candidates across multiple countries. Build and manage high-quality talent pipelines using creative sourcing methods, including direct outreach, networking, social media, and job boards. Track pipeline metrics, identify hiring blockers, forecast hiring outcomes, manage early interview stages, and deliver an exceptional candidate experience while partnering with hiring stakeholders.

Develop and benchmark 3D computer vision and localisation systems (SLAM, visual odometry, scene matching, geo-registration, 3D reconstruction). Extend geometric deep learning and feature-matching methods, design experiments and benchmarks, adapt models to hardware constraints, and collaborate with research, engineering, and product teams to deploy robust AI solutions.

Design and own electrical architectures and bespoke PCBs for defence platforms: component selection, ECAD layout, cable harnesses, communication interfaces (CAN/Ethernet/RS422/485), simulation (LTSpice), testing, integration, and documentation from requirements through validated prototype.

Build and iterate flight-ready UAV prototypes by designing, fabricating, and integrating airframes, wiring, power and avionics. Configure and troubleshoot autopilots (PX4/ArduPilot), run bench and field test campaigns, collect telemetry, refine CAD/FEA models, and remove integration bottlenecks to keep the developmental fleet operational.

Develop computer vision models for object recognition and video understanding while evaluating and improving their performance for real-world applications.

Lead and implement architecture and code for resilient backend systems, embedded hardware, secure networking, and ML inference at the tactical edge. Mentor engineers, run code review and RFC processes, optimise performance and reliability, and drive cross-team technical initiatives from prototype to production.