Top Machine Learning Jobs in Amsterdam

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.

As a Senior AI Research Engineer, you will drive Adyen's AI strategy, build production-grade applications, optimize AI interactions in finance, mentor teams, and engage with the AI community.

The Engineering Manager leads the Optimize Interfaces team, driving architecture strategy, mentoring engineers, collaborating across teams, and fostering an inclusive culture.

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.

Leads Pfizer’s enterprise applied AI strategy, architecture, governance, operating model, and transformation efforts. Drives portfolio-level technical decisions, reusable capabilities, standards, and measurable business outcomes. Provides hands-on architecture and code review using modern AI and agent frameworks while leading engineers, contractors, and vendors. Oversees quality, security, performance, spending, and technical direction, mentors technical leaders, and evaluates emerging technologies and industry trends.

Lead global design, governance, and deployment of quantitative financial crime detection models and risk-rating engines. Translate regulatory requirements into algorithmic controls, calibrate monitoring and screening thresholds, validate models, and partner with Product, Engineering, and investigations teams to minimize false positives while maintaining detection performance. Represent model logic and tuning to regulators and banking partners.

Drive enterprise sales growth across the Benelux market by acquiring new customers, expanding existing accounts, and achieving revenue targets. Develop strategic account plans, lead complex customer engagements, present tailored AI and software solutions, and manage long-term customer relationships. Collaborate with solution consultants, customer success, professional services, marketing, partnerships, and product teams to support renewals, implementation, retention, and product feedback.

Lead the strategy, design, deployment, and scale-up of AI-powered health products across the Global South. Own product roadmaps, execution, government-system integration, stakeholder adoption, partnerships, grant development, and portfolio expansion. Collaborate with engineering, machine learning, program, and domain teams to deliver sustainable, measurable public-health impact.

As a Data Analyst, you'll advise clients on data management strategies, implement solutions, and enhance data governance and quality. You'll also provide insights for business decisions based on analytical data evaluations.

Lead and grow a backend engineering team building scalable, cloud-agnostic infrastructure and services for Databricks. Hire and develop engineers, ensure engineering excellence (architecture reviews, testing, monitoring), drive roadmaps with product leadership, and coordinate cross-team execution to deliver reliable distributed systems and ML infrastructure.

Lead product vision and roadmap for agentic AI solutions, own the backlog, translate business needs into user stories, partner with data scientists and engineers, manage Agile delivery cycles, ensure responsible AI practices, and monitor model performance and continuous improvement.

Lead strategy and delivery for knowledge management and AI in an AI-assisted research workspace. Own product vision, roadmap, and squad delivery for project spaces, personalization, and a researchers persistent memory. Run customer discovery, partner with retrieval and storage teams, work with embedded data scientists on evaluation, and turn evidence into prioritized product improvements toward an AI-maintained knowledge base.

Work with the Data & Analytics team to solve client data science and analytics problems. Apply theoretical machine-learning and statistical knowledge in practice, collaborate with Data Scientists, Engineers, and Analysts, take on project tasks, and contribute to knowledge sharing and visualization deliverables.

The Senior Engineering Manager will lead teams to build scalable infrastructure for Databricks, manage talent development, and ensure engineering excellence.

2–4 month internship within Oliver Wyman's Data & Analytics team. Work on analytics and ML projects (NLP, GenAI, credit risk, decarbonization, supply-chain risk), build prototypes, collaborate with clients and colleagues, and present insights. Gain mentorship and international exposure.

Lead data engineering and architecture efforts: triage requirements, define and enforce modelling standards (3NF, Dimensional, Data Vault), design end-to-end data warehouse and analytics architectures on cloud platforms like Snowflake, govern centralized models, guide engineering and product stakeholders, and drive adoption of scalable analytics and machine learning practices.

Design and govern enterprise-scale data architectures and models, lead data modelling standards (3NF, Dimensional, Data Vault), design end-to-end analytical and data warehousing solutions on cloud platforms (Snowflake), collaborate with product and engineering teams, and promote best practices and innovation including machine learning at scale.

Design and lead enterprise-scale data and AI architectures for global clients. Develop prototypes and proof-of-value demonstrations, govern AI agents, integrate cloud platforms and external systems, support pre-sales, establish technical standards, and mentor teams. The role requires translating business needs into secure, scalable technical solutions while driving cloud data platform adoption, data governance, modeling, and AI-driven transformation.

Lead the strategic and technical direction of LLM and agentic AI initiatives while managing and developing a high-performing team of AI engineers and researchers. Design, develop, and deploy advanced AI solutions, mentor team members, oversee performance and capacity planning, and align AI roadmaps with business objectives. Stay current with generative AI, NLP, and autonomous systems, communicate with technical and non-technical stakeholders, and champion Agile delivery practices.

Own and build Polaroid’s People Operations function, including HRIS architecture, people data, employee lifecycle processes, compliance, payroll inputs, benefits, and mobility support. Lead cross-functional projects and modernize employee services through AI automation, workflows, chatbots, and policy knowledge bases. Manage HR technology integrations, data quality, dashboards, compensation cycles, and employment-law processes across jurisdictions while partnering with Finance, IT, Legal, Payroll, and Talent Acquisition.

Lead the end-to-end search experience across platforms: define relevance and ranking strategies, partner with ML/data science, improve discovery/navigation, set search metrics, and prioritize a roadmap for UX, infrastructure, and experimentation.

Own the AI product vision, roadmap, prioritization, and delivery from ideation through launch. Translate business needs into technical requirements while collaborating with engineers, data scientists, marketers, and commercial teams. Drive AI adoption, monitor trends, define success KPIs, and ensure responsible, ethical, and privacy-compliant product usage.

Develop Elastic observability and security solutions for application and infrastructure teams. Build Kibana user interfaces and REST APIs, analyze IT operations data, create Elastic rules and SIEM detections, implement Elastic Security modules, and automate zero-touch deployments with Ansible. Collaborate with customers, UI teams, product management, and IT Operations while improving infrastructure automation and service quality. The role is hybrid in the Netherlands and requires Dutch nationality, a Dutch passport, and Dutch-language proficiency.

Develop Elastic-based security and observability solutions for applications and infrastructure. Build Kibana user interfaces and REST APIs, analyze IT operations data, create Elastic and SIEM detection rules, implement Elastic Security modules, and automate zero-touch deployments with Ansible. Collaborate with customers, UI teams, product management, and IT Operations to improve monitoring, security, automation, and operational efficiency.