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
Machine Learning Engineer
Build and deploy ML models to optimize freight pricing, carrier forecasting, and recommender systems for Europe’s leading digital freight platform, leveraging AI and LLMs to drive profitability and efficiency.
Senior Deep Learning Research Engineer
Build and optimize tiny, ultra-efficient AI models for on-device computer vision and multimodal LLMs, shipping features like People Detection and Video Search to millions of cameras.
Deep Learning Research Engineer
Research and develop state-of-the-art AI models for embedded devices, focusing on computer vision and multimodal LLMs to enable features like people detection and video search.
Data/Ml Engineer - €58.000 - €77.000 A Year
Builds and maintains data pipelines, deploys ML models, and improves forecasting for a renewable-energy company.
Senior Data & Cloud Engineer: AI/ML, Cloud & On-Prem
Design and scale a cloud-native data and AI platform, building real-time analytics, industrial data pipelines, and AI/ML infrastructure across AWS and on-prem.
(Data) Machine Learning Engineer
Build and maintain data pipelines and ML models (Decision Trees, Random Forests, Deep Learning) to process data and deliver insights in an Agile team using cloud platforms like AWS/Azure/GCP.
Space Data Intelligence Engineer — AI/ML Prototyping
Build AI/ML prototypes to turn satellite and space data into actionable insights for climate and Earth-observation applications using Python.
Data ML Engineer
Build and scale petabyte-scale data pipelines for a clinical AI assistant, focusing on ingestion, synthetic generation, and quality control to train multimodal medical LLMs.
Data & ML Engineer: Pipelines, Models & Cloud
Designs, builds, and optimizes data pipelines and ML models (decision trees, random forests, deep learning) using cloud platforms like AWS, Azure, or GCP.
Senior ML Engineer: Predictive AI & Data Pipelines (Hybrid)
Build and scale ML pipelines for predictive AI solutions like churn prediction and forecasting, and set up robust data/ML environments in a hybrid role.
Data ML Engineer: Synthetic Data & Petabyte-Scale Pipelines
Build and maintain petabyte-scale pipelines for sourcing, generating, and curating synthetic medical language model data in Amsterdam.
Applied Artificial Intelligence/Machine Learning Engineer
Build AI assistants that let users create and manipulate 3D scenes via natural language, integrating LLMs, NLP pipelines, and knowledge graphs for creative workflows.
Machine Learning Engineer
Build and deploy ML systems that power healthcare workflows: speech-to-text, LLM note-taking, and chat-based clinical assistants in a cloud-native stack.
Machine Learning Engineer, AI Research
Research and build systems that make AI agents portable across models, providers, and environments, focusing on routing, memory, interoperability, and evaluation.
Machine Learning Engineer, AI Research (Physical AI)
Research and develop AI models for physical robots, training vision-language-action systems and reinforcement-learning policies to perceive, reason, and act in the real world.
AI/ML Specialist Solutions Architect (Remote)
Designs and advises on scalable AI/ML cloud solutions for enterprise customers, focusing on distributed training and production deployments using PyTorch, Kubernetes, and related tooling.
Master thesis project: Evaluating Fairness Interventions in Machine Learning
Master’s thesis project evaluating fairness interventions in ML models for banking decisions, using Python, statistics, and applied data science.
Senior Engineering Manager - Machine Learning
Leads a team of ML engineers and data scientists to design, deploy, and maintain machine learning systems for sports betting and gaming platforms using Python, TensorFlow/PyTorch, and AWS.
Staff Machine Learning Engineer - Applied ML & Research
Leads machine learning initiatives for an online gaming platform, designing and deploying scalable models to enhance security, user experience, and data-driven decisions for hundreds of thousands of users.