Top Machine Learning Jobs in Amsterdam

Lead the development and delivery of data products for revenue and risk optimization in payments, enhancing merchant performance and insights.

Lead and mentor multidisciplinary engineering teams to develop data-driven risk management systems, enhancing financial crime detection and compliance through AI and machine learning.

As a Senior Machine Learning Engineer, you will build cloud-based AI/ML solutions, collaborate with cross-functional teams, and enhance user experiences in enterprise services.

Lead strategy, development, and optimization of Support's global tech stack focusing on automation, AI initiatives, and stakeholder collaboration.

Lead high-impact projects on payment processing, focusing on card scheme expansions, infrastructure optimization, and stable foundations for scalable payment systems.

The Associate Partner Manager will develop partnerships, drive marketing activities, and support sales to enhance LogicMonitor's channel ecosystem in EMEA.

Lead GitLab's Custom Models team, manage high-performing engineers, and develop AI solutions tailored to customer needs while promoting innovation and collaboration.

The Senior Machine Learning Scientist will design and implement production-ready machine learning solutions, build algorithms, and deploy data products at Adyen.

Lead Backbase's AI Consulting and Services Group by defining vision and strategy, mentoring teams, and delivering innovative AI solutions to clients.

Design and implement AI-driven solutions for banking, translating complex business needs into technical solutions, while collaborating with stakeholders and guiding clients through evaluations.

Lead the Life Cycle Engine project, optimizing excess inventory liquidation processes and collaborating with cross-functional teams, utilizing analytics for strategic insights.

As a Principal AI/Machine Learning Engineer, you'll design innovative AI solutions, guide teams, evaluate AI advancements, and oversee scalable data processes.

As a Senior ML Engineer, you will enhance the translation capabilities of Smartcat's platform using machine learning techniques like LLM tuning and inference optimization, while developing benchmarks and improving translation quality.

The Machine Learning Engineer will develop and optimize ML pipelines for trading, collaborating with experts to enhance real-time prediction capabilities.

As an Intermediate Machine Learning Engineer, you will develop evaluation techniques, manage large language models, and collaborate on AI feature implementations, ensuring product quality and performance.

The Sr. Sales Engineer will support the sales team, engage customers, provide technical solutions, and document requirements for AI technologies.

As a Support Engineer L2, you will resolve complex technical issues for clients, focusing on AI and ML challenges, troubleshooting cloud environments, and optimizing processes through scripting.

The Product Owner will guide the development of products in digital marketing and AI, aligning business goals with innovative solutions while managing stakeholders and vendors.

The Data Scientist analyzes data to derive insights, build predictive models, and support decision-making, collaborating with various departments.

The Marketing AI Transformation Lead will develop and implement an AI-driven marketing strategy, drive innovations, and collaborate with teams to enhance marketing activations and consumer engagement.

As the Head of Fraud Detection, you will optimize and enhance fraud detection systems, lead a team, and collaborate on strategic initiatives to combat fraud effectively.

Lead the development of digital co-processors for AI accelerators, optimizing hardware architecture for performance and power efficiency through cross-functional collaboration.

As a Senior Sales Engineer, you will support sales by ensuring prospects understand technical solutions, driving product fit, and providing customer trainings and documentation.

The Product Manager will lead AI-powered pricing tool development, collaborating with teams to derive insights from data and streamline user experience.

The Incident Manager will lead customer escalations, ensure timely communication to stakeholders, and drive product/process improvements within technical incidents.