Top Machine Learning Jobs in Amsterdam

Own the strategy, vision, priorities, and roadmap for Adyen’s data developer experience platform. Partner with platform and engineering teams to consolidate tools, improve developer autonomy and productivity, drive adoption, and support data and AI product delivery. Engage data engineers, machine learning scientists, AI engineers, analysts, product managers, and operational stakeholders to identify needs, make strategic trade-offs, and deliver scalable platform capabilities.

Lead the AI and innovation direction for Operations, identify and prioritize high-value use cases, and build a central Ops innovation model. Manage a small Forward Deployed AI team, partner with domains and engineering to deliver scalable solutions, track delivered value, and drive adoption and upskilling across the function.

Establish and scale FareHarbor’s revenue management and dynamic pricing practice. Analyze booking patterns, seasonality, channels, market conditions, and customer performance to improve revenue and yield. Develop onboarding standards, playbooks, training, tools, escalation paths, and implementation processes. Advise strategic customers while partnering with Product, Commercial, Data, Machine Learning, Implementation, and Customer Success teams to translate insights into product opportunities and measurable outcomes.

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

Leads analytical methodology and evaluation for AI-based healthcare and pharmaceutical workflows. Owns model selection, cohort and HCP segmentation, agent decision logic, and evaluation frameworks. Partners with engineering, data architecture, and governance teams to productionize rigorous analytical methods, identify new data and techniques, communicate insights, and mentor data science and engineering colleagues.

Leads data science methodology and advanced analytics for AI-enabled Medical Affairs workflows. Develops and evaluates statistical, machine-learning, NLP, and AI models using healthcare and real-world data; defines validation, monitoring, and decision frameworks; partners with engineering, governance, and business teams to operationalize solutions. Provides technical leadership, mentorship, documentation standards, and strategic guidance while ensuring privacy, compliance, responsible AI use, and clear communication of analytical findings.

Leads ad hoc and exploratory analyses for medical and business questions across a global Medical Insights organization. Prepares and validates datasets, translates ambiguous stakeholder needs into decision-ready findings, and maintains analytical documentation. Tests new data sources, methods, and AI-enabled approaches through proof-of-concept analyses to guide platform investments and roadmap decisions. Partners with business and product stakeholders while supporting compliant, reproducible use of regulated data.

Develop and deploy spatial perception models for ADAS/AD, including BEV and occupancy-based architectures. Lead large-scale distributed training, synthetic data validation, model quantization, compression, and edge optimization for automotive SoCs. Translate research into production pipelines, benchmark accuracy and performance, conduct experiments, and build regression testing. Collaborate with research and engineering teams while mentoring junior engineers and maintaining high standards for code quality and documentation.

Design and validate threat models for agentic AI systems, create adversarial experiments and synthetic environments, develop static and dynamic risk analysis, fine-tune and evaluate models, and build production-ready guardrails, monitoring, dashboards, and evaluation infrastructure. Optimize security systems for latency, cost, reliability, and measurable real-world performance while translating research into product capabilities.

Develop quantitative trading strategies for digital asset markets, including pricing, execution, and systematic market-making models. Research and optimize strategies using large-scale market data, machine learning, and high-performance computing, then collaborate with Trading and Technology to deploy them into production. The role requires expertise in systematic trading, electronic markets, market microstructure, and translating quantitative methods into profitable trading outcomes.

Own and expand strategic enterprise accounts across Europe, serving as executive relationship owner and driving revenue growth through account expansion plans. Coach account managers and customer success teams on strategy and complex commercial execution, improve key account processes, collaborate with product and customer operations, and report performance and pipeline to leadership. Represent the company with utility customers at conferences and events.

Design and implement GenAI solutions combining agentic workflows, customer data technologies, and customer experience platforms. Build LLM-based applications, prototypes, and architectures for ecommerce, marketing, and customer service use cases. Apply data engineering, machine learning lifecycle, prompt engineering, embeddings, vector databases, evaluation, monitoring, and software engineering practices. Translate business needs into technical solutions and communicate architecture decisions to nontechnical stakeholders.

Leads execution research across two equity markets, setting strategy and research roadmaps for trading algorithms. Applies statistics, stochastic calculus, machine learning, and high-frequency time-series analysis to model market dynamics and optimize latency-sensitive decisions. Rapidly tests and deploys models in production while managing and mentoring researchers and collaborating with engineers and analysts. The role is based primarily in Amsterdam with relocation support.

Drive business development and close high-value enterprise deals with global biotech and biopharma accounts across Europe. Own strategic customer relationships, deliver recurring revenue, partner with technical and customer success teams on complex proposals, provide market insights for product direction, build industry credibility, and improve enterprise sales processes and playbooks.

Develop and operate production machine learning models and end-to-end MLOps pipelines for airline ancillary pricing. Responsibilities include model training, retraining, deployment, monitoring, architecture optimization, low-latency serving, infrastructure automation with Terraform, containerization with Docker, and CI/CD using GitHub Actions. The role uses GCP, BigQuery, and Vertex AI while leading MLOps practices and collaborating with data science and engineering teams.

Lead architecture and technical strategy for merchant fraud prevention across multiple teams. Design high-throughput, low-latency distributed systems, integrate ML/LLM models, evolve data and inference pipelines, align product and compliance goals, standardize practices, and mentor senior engineers.

Conduct frontier research in AI alignment science, focusing on post-training and alignment of foundation models and agentic systems. Develop a research agenda, publish at leading venues, collaborate with engineering and business teams to apply research, shape AI roadmaps, communicate findings, mentor interns and colleagues, and guide adoption of new methods across Netflix.

Leads engineering teams building scalable advertising and marketing technology platforms. Owns architecture, technical strategy, platform modernization, distributed systems, cloud-native microservices, reliability, observability, performance, and code quality. Partners with product and architecture leaders on large-scale transformations while developing high-performing teams across geographies. The role requires hands-on technical leadership, including architecture reviews, code review, and experience with AI- and ML-enabled capabilities.

Own the full enterprise sales cycle across the Benelux region, from territory development and partner engagement through solution demonstrations and deal closure. Present Darktrace’s cybersecurity solutions to CISOs and information security leaders, attend industry events, and collaborate with SDRs and technical experts. The role requires Dutch and English fluency, enterprise B2B closing experience, strong communication skills, entrepreneurial territory-building ability, and interest in cybersecurity within a high-growth environment.

Lead client engagements involving machine learning, statistics, optimization, simulation, and big-data solutions. Develop predictive and explanatory models, manage projects and client relationships, contribute to commercial proposals and thought leadership, and supervise consultants while developing their technical and professional skills. The role also supports internal training, publications, business development, and international consulting assignments.

Applies advanced analytics, statistical modeling, optimization, machine learning, and generative AI to solve client business problems. Collaborates with data scientists, engineers, and consultants, extracts actionable insights, develops analytical solutions, presents results, and supports client workshops. Requires strong Python and analytical programming skills, knowledge of machine learning and optimization, and fluency in English and Dutch.

Build production-grade machine learning and AI solutions for client projects and internal products. Lead AI product development, make cloud architecture decisions, help data scientists scale models into production, mentor engineers, deliver training, and contribute to conferences, blogs, and client workshops. The role combines technical leadership, consulting, software engineering, cloud infrastructure, and collaboration across international data teams.

Lead client engagements involving advanced analytics, predictive modeling, econometrics, optimization, forecasting, Generative AI, and large language models. Advise senior stakeholders, manage multidisciplinary project teams, mentor colleagues, contribute to internal data science offerings and thought leadership, and support business development through proposals and client relationship development.

Review and annotate images by identifying people, actions, and predefined categories. Follow detailed annotation guidelines, maintain accuracy and consistency, review completed work, and help create high-quality datasets for AI models. The role requires strong attention to detail, independent work, reliability, and EU citizenship with residence in the European Union.

Designs, builds, and evaluates research prototypes and production-ready systems for portable AI agents, model routing, provider interoperability, memory, retrieval, tool use, and multi-agent workflows. Responsibilities include developing evaluation frameworks, conducting statistically rigorous experiments, creating schemas and APIs, optimizing model and agent systems, and translating research into secure, reliable, reusable components. The role collaborates across research, infrastructure, security, product, and engineering teams and communicates findings through technical reports, benchmarks, demonstrations, open-source releases, and publications.