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Senior ML & AI Lead

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AMSTERDAM, NetherlandsNLnl- full time- Posted June 25, 2026- via europa.eu

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via EURES (European Labour Authority, europa.eu/eures)

BeBee Academy & AI Juridisch Nederland - Senior ML & Lead Technology Harnham The Randstad , Nederland Vandaag Tot 23-8-2026 Voltijd Op locatie Pas mijn cv aan voor deze vacature Functieomschrijving Senior AI & ML Lead Amsterdam, Netherlands | Competitive salary + bonus + benefits This is a high-impact leadership role at the forefront of applied AI, with a strong focus on personalisation and recommender systems that directly shape customer experience at scale. You will define how intelligent systems power discovery, matching, and engagement across a complex digital platform, while leading a team to deliver production-grade machine learning solutions that drive measurable business value. The Company They are a well-established digital platform with a large and active user base, operating at the intersection of technology, data, and customer experience. Data and AI are central to their product strategy, with strong investment in modern machine learning, experimentation, and scalable infrastructure. The environment is collaborative, product-led, and focused on delivering tangible impact through innovation. They are evolving towards an AI-first approach, embedding advanced capabilities into core user journeys. The Role - Lead and develop a team of data scientists working on personalisation and recommender systems across key product areas - Define and drive the machine learning and AI strategy, with a particular emphasis on ranking, recommendation, and search optimisation - Own the full lifecycle of ML systems, from experimentation and modelling to deployment, monitoring, and continuous improvement - Partner closely with product and engineering teams to translate business needs into scalable AI-driven solutions - Enhance customer experiences through intelligent matching, content personalisation, and dynamic recommendations - Establish best practices in model evaluation, experimentation, and MLOps maturity - Identify opp...

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