C005309 AI Engineer (NS)
The posting does not state a salary. This range is our estimate from the role, the location and the stack — treat it as a guide, not an offer.
- Level
- Mid
- Apply from
- Netherlands
About the role
- Apply machine learning and data science techniques.
- Identify issues in machine learning systems.
- Design, develop, and maintain AI/ML components.
- Support AI/software lifecycle engineering.
- Build and improve data pipelines.
Skills the posting asks for
- machine learning
- data science
- ETL
- data pipelines
Summarised from the employer’s posting, which is reproduced in full below.
The employer’s full posting
Description
Deadline Date: Thursday 24 September 2026
Requirement: AI Engineer
Location: The Hague, NL
Full Time On-Site: Yes
Time On-Site: 100%
Total Scope of the request (hours): 278
Required Start Date: 30 October 2026
End Contract Date: 31 December 2026
Required Security Clearance: NATO SECRET
Duties & Role:
- Apply machine learning and data science techniques to new problems and datasets, including evaluating model outcomes, performance, and data quality.
- Identify issues in machine learning systems, models, pipelines, datasets, and development activities, and implement practical improvements.
- Design, develop, test, document, amend, refactor, and maintain moderately complex programs, scripts, and AI/ML components.
- Apply agreed engineering standards, tools, and secure development practices to deliver reliable, maintainable, and well-engineered solutions.
- Support AI/software lifecycle engineering by eliciting requirements, selecting suitable working practices, and deploying automation for development, testing, release, deployment, and monitoring.
- Define AI modules for integration builds, produce build definitions, and validate completed modules against agreed functional, quality, security, and performance criteria.
- Build, maintain, and improve data pipelines using data engineering standards and tools, including ETL/ELT processes.
- Monitor progress, report status, communicate risks or blockers, and collaborate with colleagues through reviews and shared delivery ownership.
- Support monitoring of emerging technologies, contribute to technology assessments, reports, roadmaps, and knowledge sharing.