Top Machine Learning Jobs in the Netherlands

The Senior Machine Learning Scientist at Adyen will design, implement, and deploy machine learning algorithms, develop analytical pipelines, and automate experiments. They will collaborate with MLOps, iterate on state-of-the-art algorithms, and stay updated with industry research, while leading projects and communicating outcomes effectively across stakeholders.

Develop and maintain AI and machine learning algorithms, create data pipelines, collaborate with cross-functional teams, and deliver robust product features.

The Sr. Technical Solutions Engineer (Spark) resolves customer issues with the Databricks platform, focusing on Spark technologies and offering insights into data-related challenges. Responsibilities include troubleshooting, guidance for implementing solutions, and collaboration with internal teams.

The Data Scientist leverages ML/AI techniques to enhance cybersecurity detection, improve services, and analyze performance metrics while collaborating with cross-functional experts.

The Customer Success Manager guides eCommerce customers, ensuring product maximization and advocating for their needs while identifying growth opportunities and mentoring peers.

As a Research Scientist, you will develop algorithms for MRI protocols and diffusion simulations, focusing on cancer detection and treatment innovation.

As a Senior Machine Learning Engineer at Smartcat, you will enhance the computer vision capabilities of our Language AI platform. You'll manage data labeling, optimize ML training pipelines, and oversee model deployment and performance monitoring while driving innovation in Image and Video Translation products.

As a Research Engineer, you'll enhance generative video creation, develop video diffusion models, and translate research into products within a collaborative team.

Manage product vision, strategy, and execution for a cloud-hosted platform, focusing on client interaction with geo-data and driving revenue growth.

The Data Analyst will transform data into actionable insights, build reports and dashboards, analyze datasets, and present findings to stakeholders.

The AI Implementation Product Owner will oversee AI-driven solutions to enhance advisor productivity and customer experience while managing stakeholders and project plans.

As a Data Science Intern, you will develop and evaluate machine learning methods for characterizing chemical compounds, analyze datasets, collaborate with R&D teams, and document research findings to enhance chemical screening strategies. You will contribute to a project aiming to reduce unnecessary lab experiments through in-silico analyses.

As a Machine Learning Engineer, you will develop large-scale ML systems for deployment, focusing on low-latency inference and optimal training pipelines. Collaborate with researchers and engineers to enhance GPU acceleration techniques and improve real-time prediction capabilities amid high-frequency trading environments.

The Senior Data Scientist at Mastercard involves working with the Sales team to drive sales by understanding customer needs, providing product expertise, and offering training on identity verification products. The role requires strong analytical skills, the ability to communicate technical concepts effectively, and a deep knowledge of machine learning and SQL for data analysis.

As a Data Scientist at Deel, you will solve real-world problems using Data Science and statistical techniques, build and maintain datasets, and implement machine learning and data pipelines. Collaboration with various teams is essential to deliver high-quality algorithmic solutions and produce reproducible research.

As a Sr. Solutions Architect at Databricks, you'll leverage your technical expertise to engage with public sector clients, providing insights on data architectures and best practices. Your role involves conducting webinars, developing technical propositions, and supporting customers with reference architectures, fostering strong relationships while supporting their data and AI needs.

As a Data Analyst, you will collaborate with Product and Insurance leaders to provide insights through dashboards, analytics, and predictive modeling, enabling data-driven decision-making and product improvements.