Top Machine Learning Jobs in the Netherlands

Lead and mentor a remote backend engineering team building the Revenue Intelligence/Signals AI platform. Be hands-on in code, conduct reviews, drive architecture and ML systems adoption, implement process improvements, and deliver high-quality SaaS solutions.

Lead strategy and growth for a regional portfolio of accounting and ERP software products (Twinfield, Basecone). Define roadmap, drive AI-enabled features, prioritize investments, execute go-to-market, shape pricing and positioning, and lead a team of Product Managers across Netherlands, Belgium and the UK to deliver measurable business outcomes.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

The Lead Global Reliability Engineering drives the reliability vision for J&J, focusing on predictive maintenance and technology adoption to improve performance and reduce downtime across global manufacturing sites.

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.

As a Machine Learning Research Intern, you will conduct research on HFT strategies, analyze market opportunities, and collaborate on strategy implementation using ML techniques.

Join a trading team to analyze global markets and develop profitable trading strategies using machine learning and statistical models.

The Senior Quantitative Researcher will lead the development and deployment of ML-based statistical arbitrage strategies while mentoring team members and collaborating with internal teams.

Thesis internship in Forecasting Analytics: analyze demand-forecast data, test statistical and machine-learning forecasting methods, support projects, identify accuracy improvements, and present findings to improve forecast processes for part of the Mars Wrigley portfolio.

The Product Analyst will optimize EMS strategies through data analysis, collaborate with stakeholders, implement solutions, and develop predictive models.

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 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.

Lead the estimating product roadmap for an AI-powered construction SaaS: prioritize and ship MVPs, run rapid experiments, conduct user discovery with estimators, define success metrics, and iterate using data and user feedback.

Lead development, validation and governance of GLMs across European markets; translate pricing models into portfolio steering, monitoring, dashboards and executive insights; act as AKUR8 technical authority; embed pricing governance and mentor pricing leads while collaborating with actuarial, data, underwriting and business stakeholders.

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.

Own Go-To-Market for performance media buyers: build relationships, close and onboard clients, represent Kayzen at industry events, advise prospects on product strategy, and funnel market feedback across teams.

Lead and grow multiple small, high-output engineering teams focused on AI-powered vulnerability management. Stay hands-on with architecture and code reviews, drive hiring and career development, ensure technical excellence, and coordinate cross-team priorities to deliver customer and revenue impact.

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.

Support ~25–30 learners in a virtual ML/data program by answering questions, facilitating breakout rooms, holding office hours, grading submissions, monitoring Slack, reviewing materials, and providing constructive feedback. Provide bilingual (German/English) technical support focused on data annotation, labeling QA, and generative AI concepts. Participate in onboarding, weekly staff meetings, and submit program improvement write-ups.

Lead legal counsel for an adtech company providing commercial, product, privacy, and regulatory counsel. Negotiate complex agreements, advise on global privacy and IAB standards, support product launches and AI use cases, manage data governance and incident response, oversee corporate compliance and outside counsel, and build scalable legal operations and contract workflows.

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.

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.