Top Machine Learning Jobs in the Netherlands

As an AI/ML Scientist, you will design and implement machine learning models, conduct data analysis, and collaborate on innovative AI solutions to enhance decision-making and strategic execution within supply chains.

The Technical Writer will create customer-facing documentation, collaborate with teams to improve user experience, and establish writing best practices.

As an Account Executive at Cognite, you'll drive new business by executing sales strategies and managing complex sales cycles in the Nordics, UK, and Benelux, focusing on industrial digital transformation.

As a Tech Lead, you will lead technical teams in the gaming industry, architect solutions, and oversee marketing technology project execution while ensuring quality and mitigating risks.

As an AI Solution Architect, you'll drive the adoption and scaling of GenAI solutions, partner with sales, design projects, and guide clients in successful AI integration.

The Talent Acquisition Partner will lead technical recruitment, providing market insights, building talent networks, and managing the recruitment process in alignment with company culture.

The role involves designing experiments, improving ML processing, writing Python code, and collaborating on automation solutions for task similarity.

The Mendix Developer will innovate and improve the Mendix Platform, work with programming languages, and contribute to roadmap and technical challenges, all within an Agile environment.

The role involves deploying AI products, managing customer relations, collaborating on complex projects, and ensuring successful product adoption. Requires deep knowledge of machine learning and experience with LLMs.

The AI Lead is responsible for managing AI teams, driving AI project strategies, and ensuring deployment efficiency in telecommunications. They will oversee AI R&D, mentor team members, and collaborate across teams to align AI solutions with business goals.

ScreenPoint Medical seeks talented individuals to join their teams, focusing on AI applications for breast cancer. Candidates can submit CVs and motivation letters for consideration.

Manage a portfolio of customers, ensuring they maximize value from Sardine's fraud prevention and compliance products while collaborating with internal teams and analyzing performance metrics.

Drive technical future of ML at Storio, leading design, deployment of ML models, and improving data maturity while coaching other data scientists.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

Lead engineering projects in data acquisition, curate multimodal datasets, develop scalable data pipelines, and conduct experiments for insights in AI.

As a Software Engineer Intern, you will build features for user-facing products, design data pipelines, implement scalable services, and contribute to technical documentation while being part of a collaborative team.

As a Senior Data Scientist at Chaos Labs, you'll enhance modeling capabilities and deliver insights for decentralized finance, collaborating with engineering and product teams.

The Data Scientist will leverage global data ecosystems to solve marketing problems using AI and ML, collaborating with teams and optimizing campaigns.

Analyze large datasets using machine learning and analytics to enhance the gaming business. Collaborate on data-driven strategies and innovations.

The role involves driving new sales of AI solutions, engaging with executives, and closing high-value enterprise deals in various industries.

Research and develop AI/ML models for handwriting recognition and related technologies, collaborating with a multidisciplinary team to deliver innovative features.

Optimize ML model training pipelines for speed and reliability, applying GPU optimization techniques and mentoring team members on performance best practices.

As a Machine Learning Engineer, you will lead a team, develop AI products, and work on client projects while providing guidance to Data Scientists.

As a Machine Learning Engineer, you will lead an internal team, develop AI products, work on client projects, and mentor Data Scientists, guiding them in scaling production models.

The Productivity Engineer collaborates with stakeholders to design, implement, and optimize automation solutions, ensuring system reliability, scalability, and security while following Agile DevOps practices.