Top Machine Learning Jobs in Amsterdam

Work with traders, asset operators, and developers to analyze electricity market outcomes, improve trading and operational strategies, and drive customer success. Translate market workflows into product requirements, collaborate with engineering to enhance analytics, dashboards, and optimization models, and lead customer onboarding, implementation, and ongoing technical account management.

As an Engagement Manager, you'll ensure customer success in protein R&D by building relationships, tracking metrics, and leading cross-functional teams. You'll manage enterprise accounts and advocate for customers while aligning their needs with Cradle's offerings.

Write, edit, localize and proofread English-language email and social media copy for Google Nordics/Benelux; create social-first assets, run A/B test variants, collaborate with designers, developers, analytics and audience teams, and maintain brand voice and campaign documentation.

Lead SAP S/4HANA Finance transformation projects: analyze and redesign finance processes, propose and implement SAP best-practice solutions (Central Finance, S/4HANA), co-create roadmaps, develop proofs-of-concept using ML, RPA and cloud, support pre-sales, training and innovation, and deliver client-facing consulting throughout full project lifecycles.

Ship AI product features combining engineering and ML; build and improve agent workflows; optimize latency, cost, and reliability; track AI research and turn it into product; build self-improving loops that run experiments and learn from feedback.

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.

As an Account Executive, you will manage the full sales cycle for enterprise accounts, focusing on B2B sales in the Benelux region, particularly in cybersecurity solutions. Strong communication skills and relationship-building are essential, alongside fluency in Dutch and English.

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 integration of flight supply partners, optimize booking experience, manage technical delivery, and leverage AI-driven solutions for performance improvements.

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.

As an AI Research Intern, you will tackle AI research questions, build prototypes using AI tools, and design evaluations for AI systems while collaborating with fellow engineers and product managers.

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

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

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.

Drive end-to-end product development for iTero 3D imaging systems by translating clinical needs into software requirements, leading cross-functional agile teams, driving ML diagnostic initiatives from PoC to productization, analyzing clinical usage data for improvements, and embedding customer feedback into product decisions to enhance usability, performance, and clinical value.

Lead positioning, messaging, and go-to-market for FineReader and ABBYY's Document Parser/SDK. Drive developer ecosystem strategy, technical content, enablement, and GTM alignment while gathering market intelligence to inform product and growth priorities.

Lead product vision and discovery for a genomics-driven diagnostic and personalization platform. Validate hypotheses with patients, clinicians, and partners; translate research into product specs; coordinate labs and data providers; partner with engineers and researchers to build AI prototypes; shape data, regulatory, and GTM strategy while making core product and architectural decisions.

Build core components of a diagnostic and personalization platform: backend data pipelines, frontends, services for genomic data ingestion, ML model integration, APIs, and cloud infrastructure. Collaborate with product and ML teams, iterate on prototypes and MVPs, and make architectural decisions supporting scalability and reliability.

Lead Vegetation Intelligence product, owning roadmap from ML detection models to customer-facing risk products. Advance detection models, integrate outputs into outage and ignition risk, run user research, and translate model capability into actionable B2B products used in the field.

Dragonfly is seeking Software Engineers for various portfolio companies, focusing on crypto technologies. Engineers of all experience levels are needed across multiple stacks.

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

Lead vision, roadmap, and performance for Search and Cache products. Oversee product owners, align roadmap with strategy, define KPIs, collaborate with ML/Data teams, co-lead R&D and A/B testing, manage direct reports, and drive stakeholder relationships and product delivery.

Lead AI and data science strategy across ML, NLP, search, recommendation, and generative AI. Manage and develop teams to deliver production-ready systems (LLMs, RAG, semantic search, embeddings), establish evaluation and responsible AI practices, and align roadmaps with product and business outcomes while influencing senior stakeholders.

Design and deliver production-ready AI, NLP, and generative AI solutions for scientific knowledge discovery. Build LLM-powered workflows, RAG systems, retrieval/ranking/recommendation features, integrate ontologies and metadata, establish evaluation and monitoring, write production Python, and provide technical leadership and mentoring.

Lead development and productionization of TTS and voice-generation systems: train, fine-tune, evaluate models, deploy and optimize for inference, latency, scaling, monitoring, and reliability; translate research into production and define technical direction while collaborating with research, engineering, and product.