Top Machine Learning Jobs in Amsterdam

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.

Lead the roadmap and execution for Adyen's authentication stack, evolving it into an AI-driven Identity Orchestrator. Partner with ML teams, scale next-gen authentication methods globally, navigate regulatory and scheme complexity, and productize authentication across payment rails.

Lead the development of Adyen Protect, focusing on machine learning models for fraud detection, infrastructure scaling, and team mentorship.

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 Model Risk Specialist will validate models for risk management, assess methodologies, develop benchmarks, ensure compliance, and collaborate with teams on model quality improvements.

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.

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.

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.

As a UX Writer at Nebius, you'll improve user experience by creating UI copy, collaborating with teams, and developing guidelines.

The Product Marketing Manager oversees marketing tool development, focuses on AI integration for efficiency, and collaborates with various teams to enhance marketing effectiveness.

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.

The role involves owning and evolving the end-to-end search experience at Redcare Pharmacy, focusing on search relevance, navigation, and building a high-impact roadmap while collaborating with data science and UX teams.

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 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.

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.

As a Tech Lead, you will manage and develop a team of ML Engineers, shaping processes in ML projects and partnering with cross-functional teams to enhance customer experience through AI and ML solutions.

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.

In this role, you will lead client engagements in advanced analytics, manage project teams, mentor members, and guide innovative data science projects, focusing on Generative AI.

As a Machine Learning Engineer, you will lead internal teams, develop AI products, manage projects, build production-level ML/AI solutions, and collaborate within diverse teams.

The Senior Director leads AI transformation in procurement, creating research content, offering actionable insights, and collaborating to drive strategy and change management.

Lead AI transformation initiatives in procurement, creating impactful research, developing strategies, and advising clients on AI integration and analytics for business outcomes.