Top Machine Learning Jobs in Amsterdam

As a Senior Software Engineer, you will own the design and development of scalable systems for Identity & Verification, leading architectural decisions and improving operational excellence while mentoring other engineers.

Responsible for operational excellence across strategy and execution, managing planning cycles, tracking milestones, and ensuring cross-functional alignment while mitigating execution risks.

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

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

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

The Regional Partner Manager will execute a channel strategy, drive revenue growth, manage partnerships, and align internal teams in the BeNeLux region.

As a Senior Machine Learning Scientist at Adyen, you'll design, implement, and deploy machine learning algorithms for data products, automate regulatory reporting processes, and collaborate with various stakeholders to enhance machine learning initiatives.

Lead the development of a next-generation risk system, building and scaling ML models, architecting ML infrastructure, and collaborating with product teams to assess and mitigate risk.

As a Data & AI intern, you will work on visualizing and interacting with data, improving user adoption of analytics products, and developing insights interfaces while writing your thesis.

As an ML Research Engineer, you will develop computational methods and infrastructure to enhance molecular simulations and machine learning force fields for materials discovery.

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.

As a Scientific Software Engineer specializing in polymer simulations, you'll design workflows for atomistic simulations, integrate AI with simulations, and collaborate on experimental validations, bridging theory with real-world applications.

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.

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

The role involves leading a Data team, developing AI products, guiding Data Scientists, and collaborating in multidisciplinary projects while ensuring production-level ML solutions and training.

Lead client engagements by developing advanced predictive models, managing stakeholders, and guiding project teams. Mentor colleagues and support business development in data science and Generative AI.

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.

As a Senior Software Engineer at eBay, you will develop and deliver recommendations systems using AI and ML technologies, work with large-scale distributed systems, and collaborate with researchers and engineers in an innovative environment.

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

Develop core methods for temporal ontology extraction and contradiction detection. Collaborate with research teams and publish findings. Prototype ideas, create datasets, and validate methods.

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.

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.