AI Technologist - Software Engineering / Machine Learning for NATO
Role details
Job location
Tech stack
Job description
Contract: Long-term (initial until end of 2026, extensions to 2028) Why this role exists NATO is building real AI prototypes for missile defence scenarios, not theoretical research. This role is about turning AI concepts into working systems. What you will do Design and build AI/ML prototypes for defence use cases Implement models using frameworks like PyTorch, TensorFlow, scikit-learn Develop scalable backend systems and APIs Work with distributed architectures, cloud, and containerised environments Build demonstrators and validate them against operational scenarios Contribute to architecture, research, and technical reporting You will be responsible for making AI real, testable, and deployable. Tech environment Python, Java, C# or TypeScript AI/ML frameworks (PyTorch, TensorFlow, etc.) Microservices, REST APIs Docker, Kubernetes Cloud environments
Requirements
10+ years in software engineering or AI/ML development Strong hands-on experience building ML systems Experience with distributed systems and modern architectures Ability to build prototypes, not just models Experience working in international or complex environments Strong advantage: Experience in defence, C4ISR, or similar systems Knowledge of data fusion, trajectory prediction, or signal processing Exposure to LLMs, RAG, or knowledge graph systems What makes this role different You are building AI systems for real operational use cases Not a product company, not a startup, this is mission-driven engineering Direct collaboration with strategists, researchers, and NATO teams Clear progression across multi-year programme Important Must hold nationality of a NATO country English fluency required