Machine Learning Engineer

Vector Synergy; Den Haag; On-site; EUR 60,000 - 80,000; Full time

Job summary

Vector Synergy is seeking a skilled ML/AI Engineer in The Hague, Netherlands, with at least 5 years of experience in building machine learning solutions in Python. The candidate will focus on optimizing and maintaining AI models and pipelines within a NATO Secret context.

The ideal applicant should have proven experience designing and monitoring AI solutions, demonstrating a strong understanding of ML concepts and production practices.

Qualifications

• 5+ years of hands‑on experience building ML/AI solutions in Python.
• Proven experience designing and maintaining end‑to‑end AI/ML pipelines.
• Strong track record in model evaluation and performance measurement.

Responsibilities

• Applying established machine learning and AI techniques to new problems.
• Building, optimizing, and maintaining ML and AI models and pipelines.
• Evaluating and monitoring ML/AI system outcomes and model performance.

Skills

Machine Learning (ML)

Python

AI Solutions Development

Model Evaluation

End-to-End AI/ML Pipelines

Tools

FastAPI

TypeScript

LangChain

Job description

Location: The Hague, The Netherlands

Security clearance: NATO Secret

Reference No: C004854 / The Hague

Deadline for Application: 04.06.2026

Required skills

• 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.

Desirable skills

• 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.

Duties and responsibilities

• Applying established machine learning and AI techniques to new problems and datasets;
• Building, optimizing, and maintaining machine learning and AI models and supporting pipelines;
• Evaluating and monitoring ML/AI system outcomes, model performance, and data quality; defining appropriate metrics and acceptance criteria.