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2026-0061 Ballistic Missile Defence (BMD) Feasibility Study - TUE 19 May

56 minutes ago
Belgium, Netherlands
Contract
Senior
Machine Learning Engineer
Artificial Intelligence and Machine Learning
Agile AWS Azure CI/CD Deep Learning Docker Git Java JavaScript Kubernetes LLM Machine Learning Microservices Python PyTorch Reinforcement Learning REST API Scikit-learn Spring Boot TensorFlow Transformers TypeScript
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EMW

EMW

EMW, Inc. is a global systems integration company that provides lifecycle Systems Engineering and Technical Assistance, Engineering and Installation, Operations and Maintenance, and Force Protection in the fields of Health Information Technology, Cyber...

Internet Software & Services
51-250
Founded 1995
View All Jobs 2

Description

  • Lead the identification and scoping of AI/ML use cases for ballistic missile defence and integrated air and missile defence challenges.
  • Review NIAG SG300 reports and TBMD simulation data to establish baseline knowledge and identify relevant datasets.
  • Design a baseline data architecture and methodological framework for responsible AI use in the BMD domain.
  • Conduct feasibility studies of emerging AI/ML approaches such as machine learning, deep learning, reinforcement learning, and large language models.
  • Develop, test, and evaluate software prototypes and demonstrators for selected BMD use cases in the NATO Software Factory.
  • Prepare expert briefings, feasibility study reports, technical documentation, and roadmap materials.
  • Develop a responsible AI framework aligned with NATO Principles of Responsible AI Use and tailored to the BMD context.
  • Deliver training and knowledge transfer sessions for the NCIA project team and wider NCIA community.
  • Participate in kick-off, planning, review, and status meetings and provide meeting minutes and action tracking.
  • Collaborate closely with NCIA, the operational user community, and academic partners throughout the contract period.

Requirements

  • A contractor team with two distinct skill sets: AI Strategist and AI Technologist.
  • The bidder determines the team size, but each contractor may hold only one skill set.
  • AI Strategist candidates must have at least a Master’s degree in a relevant field; a PhD is strongly preferred.
  • AI Strategist candidates must have more than 15 years of experience in AI, machine learning, signal processing, or related R&D.
  • AI Strategist candidates must have experience leading AI/ML research projects, feasibility studies, technology roadmapping, and stakeholder engagement.
  • AI Strategist candidates must have demonstrated experience in responsible AI principles, academic collaboration, and defence or government consulting.
  • AI Strategist candidates must be nationals of a NATO member nation and have excellent English.
  • AI Technologist candidates must have a degree in Computer Science, Computer Engineering, Software Engineering, or a related field; a PhD is preferred.
  • AI Technologist candidates must have more than 10 years of experience in software engineering, AI/ML development, or related technical disciplines.
  • AI Technologist candidates must have hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, or scikit-learn, and with languages such as Python, Java, C#/.NET, or JavaScript/TypeScript.
  • AI Technologist candidates must have experience with distributed architectures, RESTful APIs, cloud platforms, containers, and research project delivery.
  • AI Technologist candidates must be capable of designing and evaluating AI/ML prototypes and documenting technical results.
  • Both skill sets require NATO nationality and excellent spoken and written English.
  • Preferred qualifications include experience with defence-related AI use cases, NATO BMD or C4ISR systems, ACT/ACO, international military-civilian environments, and relevant NATO science and technology activities.
  • Preferred qualifications also include experience with emerging AI technologies such as LLMs, reinforcement learning, multimodal AI, RAG, knowledge graphs, and explainability tools.
  • The proposal must include a technical design of up to 10 A4 pages, a proposed team composition, CVs, and a compliance matrix for each proposed contractor.
  • The contract requires NATO UNCLASSIFIED work, use of unclassified networks, and a signed non-disclosure declaration before start.
  • Scheduled travel to NCIA in The Hague and ACT SEE in Mons is required, with possible travel to other NATO locations.
  • The base period runs from a tentative 18 June 2026 to 31 December 2026, with optional extensions through 2027 and 2028.

Interested in this position?

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