The roles we hire, precisely.
Noordt & Co. recruits AI, data and machine learning talent for companies in the Netherlands and Belgium, with a candidate network across Europe. Permanent search, secondment and contract. Each role below has its own market read, timelines and FAQ.
Machine Learning Engineers
Machine learning engineers sit at the point where research becomes product, and in the Dutch and Belgian markets they are the single most contested technical hire of 2026.
Data Engineers
Every AI ambition stands on data engineering, which is why data engineers remain the most consistently demanded profile we place.
Data Scientists
The data scientist role has matured: companies no longer want notebooks, they want measurable decisions.
AI Engineers
AI engineers, the people who build products on top of foundation models, barely existed as a category three years ago.
Analytics Engineers
Analytics engineers own the layer where raw data becomes trusted metrics, and mature data teams in the Netherlands and Belgium now hire them before they hire their next data scientist.
Heads of Data & AI
The Head of Data or Head of AI hire decides whether everything else in your data organisation compounds or churns.
Founding AI Engineers
The first AI hire is a different species from the tenth. Founding AI engineers carry a product from demo to production alone, and the market for them barely has a floor or a ceiling.
Forward Deployed Engineers
Palantir named the role, the AI wave made it mainstream. Forward deployed engineers ship working AI at the customer's site, and every serious AI vendor in Europe is now hiring them.
Build: engineering the product
LLM & GenAI Engineers
RAG pipelines, agentic workflows, fine-tuning and evaluation.
NLP Engineers
language-focused ML for search, extraction and conversational systems.
Computer Vision Engineers
perception models for inspection, robotics, medical imaging and video.
AI Solutions Architects
the bridge between enterprise architecture and applied AI.
Software Engineers, Python & Golang
the production engineers who make AI systems reliable at scale.
Run: data & infrastructure
MLOps Engineers
CI/CD for models: deployment, monitoring, drift detection, retraining.
AI Infrastructure & Platform Engineers
GPU clusters, inference optimisation, internal ML platforms.
Research Engineers
turning papers into prototypes into products.
Protect: governance, security & compliance
AI Governance & Compliance specialists
EU AI Act readiness, model documentation, conformity assessments, AI risk frameworks.
AI Security Engineers
securing models and pipelines against prompt injection, data poisoning, model theft.
Data Privacy Officers
GDPR and the AI Act combined: lawful data use for training and inference.
Responsible AI & Model Risk specialists
bias audits, model validation, explainability for regulated industries.
Lead: direction & product
Role not listed? We scope adjacent data and AI profiles weekly. Send the brief and we will tell you honestly whether it is our market.
Send us the brief →