C004854 Machine Learning Engineer (NS) THU 4 Jun

Deadline Date: Thursday 4 June 2026

Requirement: Machine Learning Engineer

Location: The Hague NL

Full Time On-Site: Yes

Time On-Site: 100%

Total Scope of the request (hours): 836

Required Start Date: 13 July 2026

End Contract Date: 31 December 2026

Required Security Clearance: NATO SECRET

Duties & Role:

• Apply established machine learning and AI techniques to new problems and datasets.
• Build optimize and maintain machine learning and AI models and supporting pipelines.
• Evaluate and monitor ML/AI system outcomes model performance and data quality; define appropriate metrics and acceptance criteria.
• Identify issues in models pipelines and datasets; recommend and implement improvements.
• Design develop test document refactor and maintain moderately complex programs/scripts to support ML development and deployment.
• Follow agreed engineering standards tools and best practices to deliver secure reliable and maintainable solutions.
• Monitor progress report status and communicate risks blockers and dependencies in a timely manner.
• Collaborate with teammates through code reviews design reviews and shared ownership of deliverables.
• Elicit requirements for ML/AI lifecycle practices working methods and automation (e.g. CI/CD testing deployment monitoring).
• Select and implement appropriate lifecycle practices for components and microservices within the ML/AI solution.
• Deploy automation to support well-engineered repeatable and secure build/release processes.
• Define ML/AI modules needed for integration builds and produce buIld definitions for each release/generation of the solution.
• Validate and accept completed ML/AI modules against agreed functional quality and performance criteria.
• Apply data science techniques to new problems and datasets using specialized programming approaches where needed.
• Identify and implement opportunities to improve training data features and model performance.
• Build and maintain data pipelines using data engineering standards and tools (ETL/ELT).
• Support monitoring of emerging technologies and contribute to internal reports technology roadmaps and knowledge sharing.

Skill Knowledge & Experience:

• The candidate must have a currently active NATO SECRET security clearance
• 5 years of hands-on experience building ML/AI solutions in Python with strong foundations in machine learning concepts software engineering and production-grade development practices.
• Proven experience designing developing optimizing and maintaining end-to-end AI/ML pipelines (data processing training evaluation deployment and monitoring).
• Strong track record in model evaluation and performance measurement including defining metrics running assessments and monitoring model qualitY over time.
• Experience applying and adapting pre-trained models (including Generative AI/LLMs) to solve specific business use cases.
• Solid experience with MLOps practices: version control experiment tracking model packaging deployment monitoring and automation.
• Proficiency with CI/CD pipelines and DevOps best practices (e.g. Git-based workflows build/release automation).
• Practical experience with containerization (Docker Podman) and orchestration using Kubernetes including infrastructure provisioning and operationalization in cloud environments.
• Experience with workflow orchestration tools such as Apache Airflow and/or Argo Workflows.
• Strong experience building and maintaining REST APIs ideally for serving ML models and AI services.
• Experience working with SQL and NoSQL databases.

Desirable:

• Experience building production-grade AI agent backends e.g. using LangChain or pydantic-ai wrapped in FastAPI services.
• Full-stack experience with TypeScript frameworks such as .
• Experience working in air-gapped / restricted-network environments.

Required Experience:

IC