C004854 Machine Learning Engineer (NS) NETHERLANDS - 4 Jun

Park Lane Recruitment ·www.plr.ltd

Location The Hague, The Hague, Netherlands, Netherlands
Type Full time
Level Mid
Source Shazamme
NATO
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Deadline Date: Thursday 4 June 2026
 
Requirement: Machine Learning Engineer
 
Location: The Hague, NETHERLANDS
 
Full Time On-Site: Yes
 
Time On-Site: 100%
 
Not to Exceed Rate: 63 EUR
 
Total Scope of the request (hours): 836
 
Required Start Date: 13 July 2026
 
End Contract Date: 31 December 2026
 
Required Security Clearance: NATO SECRET
 
Please do NOT apply for any NATO contract positions unless you meet ALL the following criteria:
  1. Current National or NATO SECRET clearance
  2. Nationality of one of the NATO member countries
  3. Current work visa for the specific location if applying for an in-country position
Any applications that do NOT meet all the above - and do not CLEARLY show these on the CV - will be deleted.
 
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.
Requirements
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 Next.js.
  • Experience working in air-gapped / restricted-network environments.

Frequently asked questions

Who is hiring for the C004854 Machine Learning Engineer (NS) NETHERLANDS - 4 Jun role?
Park Lane Recruitment is hiring for the C004854 Machine Learning Engineer (NS) NETHERLANDS - 4 Jun position, a Shazamme client. Apply directly on the employer's career site.
Where is the C004854 Machine Learning Engineer (NS) NETHERLANDS - 4 Jun job located?
The C004854 Machine Learning Engineer (NS) NETHERLANDS - 4 Jun role with Park Lane Recruitment is based in The Hague, NL.
Is the C004854 Machine Learning Engineer (NS) NETHERLANDS - 4 Jun role full-time or contract?
This is a full time position at Park Lane Recruitment.
What experience level is the C004854 Machine Learning Engineer (NS) NETHERLANDS - 4 Jun role?
The C004854 Machine Learning Engineer (NS) NETHERLANDS - 4 Jun position is aimed at mid-level candidates.
How do I apply for the C004854 Machine Learning Engineer (NS) NETHERLANDS - 4 Jun role at Park Lane Recruitment?
Apply directly on Park Lane Recruitment's career page via the Apply button on this listing. ZammeJobs links straight through to the employer's ATS — no third-party form, no resume database.
Apply direct