AI Technologist - Software Engineering / Machine Learning for NATO

Wlg Group Bekijk Alle Vacatures
Den Haag, Netherlands
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Architectural Patterns C Sharp (Programming Language) Data Fusion Distributed Systems Graph Database Python (Programming Language) Tensorflow Signal Processing Software Engineering
+13 more
TypeScript C4ISR Cloud Platform System Pytorch Large Language Models Backend Build Management Scikit Learn Kubernetes Machine Learning Operations Restful APIs Docker Microservices

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

Apply for this position

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · WWC 2025

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · WWC 2024

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · WWC Europe 2026

2:37 min

Optimizing technical profiles for AI sourcing and recruitment

Mina Golesorkhi Mina Golesorkhi · WWC Europe 2026

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