ML / AI Jobs in Netherlands
There are 81 open ML / AI jobs in Netherlands on freehire right now. 14 of them were posted recently. The skills employers ask for most often are machine-learning, ai and python.
Most requested skills
- machine-learning 94%
- ai 78%
- python 78%
- cloud 48%
- pytorch 38%
- data-science 33%
- llm 31%
- deep-learning 30%
How the work is done
- Remote 27 · 33%
- Hybrid 20 · 25%
- Onsite 2 · 2%
Visa sponsorship offered in 73% of the 22 postings that state a position on it.
Seniority
- Senior 26
- Staff 4
- Intern 2
- Lead 1
- Principal 1
Who is hiring
- 1000+ employees 20
- 501-1000 employees 12
- 51-200 employees 7
- 11-50 employees 2
Senior ML Engineer (Token Factory)
Senior ML Engineer at Nebius builds and optimizes high-performance inference and fine-tuning platforms for large language models across tens of thousands of GPUs, focusing on throughput, latency, and cost-per-token.
Senior ML Engineer (AI Research, Physical AI)
Build and train vision-language-action models and reinforcement-learning policies for real-world robots, using JAX and distributed training to prototype sim-to-real transfer and dexterous manipulation.
Senior ML Engineer (AI Research/ Portability)
Build and evaluate AI agent systems that remain portable across models, providers, and deployment environments, focusing on routing, memory, interoperability, and evaluation.
Senior ML Engineer | Kimchi (LLM Inference Optimization)
Optimize large-language-model inference engines (vLLM, SGLang, TensorRT-LLM) to boost throughput and cut latency for Cast AI’s Kimchi platform, tuning kernels, quantization, and scheduling across Kubernetes and major clouds.
Impactful Backend Python Developer | AI/ML & Data, Agile
CareerValue ICT Recruitment is een snelgroeiend bedrijf dat zich richt op mobiliteitsoplossingen met een sterk data-gedreven productportfolio. Het team werkt in een start-up cultuur met focus op snelle resultaten en…
Engineer (Machine Learning & Cloud Platforms) #10912403
Engineer (Machine Learning & Cloud Platforms) Location: Amsterdam, Netherlands Start Date: 01 October 2026 Duration: 6 months Experience: 8–10 years Status: Open About the Role We are seeking an experienced Machine…
Senior ML Engineer — Cloud Platforms & Data Pipelines
Designs and builds scalable ML solutions on cloud platforms like Azure ML Studio, Databricks, AWS, and GCP, and develops data pipelines for enterprise environments.
Backend Engineer AI / Machine Learning (Agentic Systems)
Builds backend systems in Java/Python to integrate AI/ML models (LLMs, embeddings) into scalable, production-ready agentic AI workflows for ING’s digital platforms, ensuring reliability, security, and observability while collaborating with data scientists and product teams.
Applied AI/ML Engineer (Agents)
Build AI agents that autonomously plan, run, and interpret complex materials-discovery workflows, integrating simulations, experiments, and expert feedback to accelerate breakthroughs in sustainability.
Computer Vision Engineer
Build and deploy visual-inertial odometry, SLAM, and pose-estimation systems that fuse camera and IMU data for real-time motion tracking in robotics, gaming, and mobility applications.
Machine learning Engineer
Build and deploy ML models, design cloud architectures, and lead AI product development for a company whose core product is AI/ML.
Machine Learning Engineer
At TBAuctions, we are committed to building intelligent auctioning platform for our brands. We are seeking a Machine Learning Engineer to join our team with a primary focus on building machine learning models, AI…
Machine learning Engineer
Build and scale production ML/AI systems, lead internal AI product development, and present technical work at conferences.
Applied AI Engineer, Machine Learning Infrastructure / DevOps
Build and deploy AI systems for enterprise customers, handling ML infrastructure, DevOps, and end-to-end AI application deployment from GPU stacks to front-end interfaces.
Senior Python Data & ML Engineer (Hybrid, Amsterdam)
Builds data pipelines and ML models in Python to analyze large datasets and deliver business insights for clients.