Top Machine Learning Jobs in the Netherlands

As a Chapter Lead for LLMOps, you are responsible for both managing a diverse team and contributing to the delivery of analytics projects. You will oversee team skills and allocation for product delivery, promoting career development and engagement among chapter members while being an expert in Data Science craftsmanship.

The Data Scientist will analyze and model complex business problems using statistical analysis and machine learning. Responsibilities include data interpretation, coordinating research activities, and producing actionable business insights through data-driven analysis. The role requires collaboration with business leaders and cross-functional teams to enhance data-driven decision-making.

The AI Solution Director leads cross-functional teams to apply C3 AI solutions to complex predictive challenges in industries like oil and gas. Responsibilities include driving solution delivery, maintaining client relationships, guiding data science efforts, and improving internal processes. This role combines technical project management, product development, and business development expertise.

The Head of Data at Marktplaats is responsible for developing data capabilities and driving a data-driven culture. This role involves leading a team, overseeing data strategies, ensuring data privacy and governance, and implementing machine learning solutions. The position requires collaboration with various teams to align data initiatives with business goals while mentoring data professionals and managing significant data projects.

As a Staff Engineer at Overstory, you will lead the evolution of web tools for utility companies to manage climate risks. Your role involves addressing performance and scalability challenges, collaborating across teams, making critical technology decisions, and mentoring engineers to drive the company's mission forward.

As a Senior Software Engineer in the TractoAI team, you will improve the YTsaurus core, design new features and microservices, address performance issues and collaborate with the SRE team for system stability in a large-scale distributed environment.

As a Senior AI/ML Engineer at Upwork, you will develop machine learning models in the Search & Recommendations domain, analyze data to enhance model performance, and collaborate with business and engineering teams to drive impactful recommendations. Responsibilities include building efficient features, optimizing recommendation systems, and sharing insights with stakeholders.

The Senior Machine Learning Engineer will lead the design and implementation of advanced machine learning models focusing on NLP and LLM technologies. Responsibilities include developing efficient data processing pipelines, performing large-scale data analysis, and collaborating with teams to optimize workflows in the education and research sector.

The Senior Product Manager will lead market research, analyze product performance, and communicate insights to stakeholders. They will collaborate with development teams to prioritize new features and ensure effective product positioning across cross-functional teams.

As a Senior Data Science Consultant at Sia Partners, you will lead and execute transformation projects for clients, focusing on developing predictive models using machine learning, conducting operational research for optimization, and processing large data sets. You will also contribute to business development and internal activities, eventually taking on team leadership roles.

As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.

As an Engineering Manager, you will lead multiple product teams focused on vegetation management and data ingestion by managing a team of engineers. You will foster a collaborative environment, provide support and coaching, make strategic technical decisions, and improve engineering practices while aligning with product managers' goals.

As a Senior Software Engineer, you'll develop AI-powered architecture design tools, contributing to web-based 3D frameworks and cloud computing projects. You'll collaborate within a team, share knowledge, and mentor peers, focusing on delivering impactful solutions.

As an Engineering Manager, you will work as a Senior Software Engineer and manage a group of engineers, developing AI-powered architecture design products while fostering team growth. You will engage in technical work, collaborate as part of product teams, and help build a solution-focused culture within the organization.

As an Engineering Manager, you will lead a team to build scalable infrastructure for the Databricks platform, managing engineering resources and ensuring high standards of technical excellence. You will support team members in career development and coordinate projects across teams, while collaborating with product leadership to define long-term roadmaps.

The Product Marketing Manager for Data and AI will develop marketing strategies and execute go-to-market plans for Canonical's open source applications. Responsibilities include leading content and campaign development, coordinating with teams, optimizing marketing funnels, and analyzing market positioning for enterprise IT products in AI and data sectors.