Top Machine Learning Jobs in Amsterdam

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.

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.

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.

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.

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 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 Machine Learning Scientist at Adyen will design and deploy real-time algorithms, create analytical pipelines, and lead projects to ensure compliance and scalability in financial transactions.

Design, develop, and deploy production ML models and pipelines to optimize pricing and revenue. Run experiments (A/B tests), monitor model performance, troubleshoot production issues, and collaborate with product and engineering to integrate ML services.

Lead AI transformation across the company by owning end-to-end data science and AI initiatives: strategy, discovery, modelling (ML, simulation, causal), deployment, coaching, stakeholder management, and fostering GenAI adoption.

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

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 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.

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 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.

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.

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.

As a Sr. Technical Solutions Engineer, you will troubleshoot issues, provide technical support for Databricks, and assist customers in leveraging their data solutions for optimal performance.

The Senior Product Manager will lead the DPAI Arena project's evaluation standards, working with stakeholders, curating datasets, and defining metrics for success.