Top Machine Learning Jobs in the Netherlands

As a Senior Consultant, you will enhance digital transformation for clients by developing insights from data analytics, leveraging AI, and leading implementations using Celonis software to drive value and efficiency improvements in business processes.

This internship involves assisting the ServiceNow Impact Team in delivering technical accelerators for clients, improving processes, and enhancing customer adoption of ServiceNow products.

As an Engineering Manager, you will lead a team in creating scalable solutions, enhance collaboration across teams, and mentor engineers while ensuring a strong team culture focused on ownership and communication.

The Consultant will address customer AI strategies, prototype solutions using Celonis’ technologies, and ensure successful implementation and ROI realization for AI projects.

Lead and mentor the Customer Risk Team, overseeing architecture and delivery of full-stack engineering solutions, with a focus on risk management.

Responsible for troubleshooting production issues, implementing solutions using open source technologies, and ensuring stability and performance in trading software.

The role involves designing, building, and scaling machine learning systems to combat financial crime and fraud, while mentoring junior engineers and collaborating with various stakeholders.

The Analytics Manager will lead credit strategy initiatives, leveraging data analytics to optimize credit decisions while ensuring regulatory compliance and driving cross-functional collaboration.

The Account Executive will drive new business by selling SaaS solutions to Managed Service Providers in the Nordics, managing the full sales cycle, and achieving revenue targets.

The Staff Level Research Engineer in AI will lead AI research strategy implementation, develop production-quality code, mentor engineers, and drive innovation in AI solutions specifically for finance.

As an Engineering Manager, you will lead a team focused on building a machine learning-powered fraud detection engine, mentoring engineers, and collaborating across teams to achieve strategic goals.

Lead and grow a small AI-engineering team to design, build, and deploy generative AI solutions for payments. Drive measurable business outcomes through technical leadership, product partnership, stakeholder management, hiring, mentoring, and iterative delivery of scalable, reliable, and secure systems.

Lead the Discover engineering team to develop a recommendation engine for a new marketplace, focusing on machine learning systems and user experience.

The role involves building a recommendation engine, designing ML systems, making data-driven decisions, and collaborating with leadership to enhance user experiences.

Design and build ML infrastructure, influence data access and model deployment, partner with researchers to optimize ML models for trading, and mentor engineers.

The role involves developing AI systems for eBay's marketplace using large language models and deep learning techniques, collaborating to enhance commerce workflows and user decision-making.

As a Principal Applied Researcher, you will shape eBay's research in Generative AI, lead applied research initiatives, and develop innovative AI systems to enhance buyer and seller experiences.

The Data Scientist will focus on optimizing supply chain processes using machine learning and analytics, developing predictive models, and collaborating with business stakeholders to extract insights and digitalize operations.

Join eBay's Recommendations team as a Sr Applied Scientist to develop state-of-the-art ML modeling and systems for real-time item recommendations using innovative AI techniques.

As Senior Tech Lead, oversee technology direction in fraud detection for 9.5 million customers, ensuring compliance and high-quality IT delivery with advanced data-driven solutions.

Lead a team in developing courier compensation and incentive products using data-driven decision-making, while executing strategic direction and coaching PMs for performance excellence.

Assist in the evaluation of Generative AI products, ensuring quality and alignment with responsible AI principles while collaborating with cross-functional teams.

The Senior Data Discovery and Enrichment Expert will evaluate AI models, ensure quality standards, and mentor junior members while collaborating with stakeholders.

The Principal Data Product Manager for ML/AI is responsible for product strategy, roadmap management, and cross-functional collaboration to deliver data-driven AI solutions that align with business objectives.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.