AI & software jobs in European defence and technology
Explore AI and software roles across defence, space and emerging technology employers, alongside openings at specialist AI companies. The collection covers both applied engineering and supporting roles within the sector.
Separate model research and training from software integration, data infrastructure and deployment. Check whether the work runs in the cloud, on embedded hardware or in a customer’s environment. The title alone does not establish the level of AI research involved; use the employer’s responsibilities and requirements to assess fit.
In this live collection
1352 vacancies · 83 employers
Most represented functions: Engineering (878) · Business development (90) · Research (84) · Production & operations (42)
At Helsing, we are redefining perception by building foundational intelligence for the physical world. You will research, design, and train large-scale Foundational Models that transform complex multimodal sensor data into cutting-edge autonomous capabilities. We are seeking an individual at the intersection of AI Research and Machine Learning Engineering, with a proven track record in LLM/VLM/(multimodal) backbones.
At Helsing, we are pioneering the future of autonomous decision-making for defence. Our work spans the full AI landscape, including high-volume data processing, RL agent training, and large-scale foundation models. As a member of a cross-functional team, you will architect and implement the tools and platforms that enable these breakthroughs. Your focus will be on abstracting complex distributed systems to maximise t
The Production Engineer - Software Integration ensures software runs reliably in live environments, focusing on stability, efficiency, and scalability by building automation, monitoring tools (observability), managing incidents, optimizing CI/CD pipelines, and collaborating cross-functionally to improve developer experience and product quality, bridging DevOps and Software Engineering. Key duties include troubleshoot
At Helsing we deliver AI-based capabilities and the enabling foundation that allow machines to perceive and assist human decision-making. You will have the unique opportunity to shape AI capabilities in one of the most challenging sectors, where high generalisation capabilities need to be paired with hardware constraints and robustness against adversarial attacks. You will be part of a computer vision team specialisi
At Helsing, our engineering culture is defined by technical impact, first-principles thinking, and high-agency execution. We are looking for a hands-on Staff Software Engineer to serve as a primary technical anchor, driving architectural decisions and shipping code across our backend systems. Designed for a builder who thrives on complexity and wants to remain close to the metal, you will have the autonomy to own pro
As a PhD research intern in 3D computer vision, you will tackle open research problems in spatial perception and localisation, and explore how novel approaches can push the state of the art. You will join our Spatial Intelligence Team, which builds systems for scene matching, geo-registration, simultaneous localisation and mapping (SLAM), visual-inertial odometry (VIO), and 3D reconstruction. You will investigate how
You will be part of a team building production-grade software foundations that power autonomous robotics. Your work will focus on designing, implementing, and deploying high-performance ROS2-based architectures and control software for robots operating in complex, unstructured, and dynamic real-world environments. This includes ensuring low-latency, real-time communication, robust sensor integration, and reliable mec
Join our GPU simulation team and build the simulator that trains our reinforcement-learning agents for air autonomy. You will shape the simulator that turns complex air-combat scenarios into learning environments at scale, model the physics behind air combat, and support the transfer of those policies to the real aircraft. Your work will span flight model fidelity, scaling to thousands of parallel environments, and t
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