Build and scale AI solutions on a global data platformLocation: UK (preferred), Netherlands or BelgiumAre you a Machine Learning Engineer who thrives at the intersection of data engineering, applied AI and platform-based development? Do you enjoy building scalable machine learning solutions on top of a modern AI platform in a complex, international environment?We are looking for a Machine Learning Engineer (AI Platform) to join the Data & AI division of HeadFirst Group x Impellam. In this role, you will design, build and operationalise machine learning models and AI-driven solutions that run on our global data and AI platform, supporting our Workforce-as-a-Service (WaaS) strategy. Your impactAs a Machine Learning Engineer (AI Platform), you play a key role in shaping how AI is applied across our global platform. You work on our Headless Data Architecture (HDA) — a scalable 9-layer architecture built on Databricks and Unity Catalog — enabling advanced analytics and AI use cases across Europe, the UK, the US and APAC. You take ownership of the full machine learning lifecycle within the platform: from data preparation and feature engineering to model deployment, monitoring and iteration in production. Working with both predictive models and generative AI, you develop solutions that directly impact core business capabilities such as talent matching, candidate scoring and operational intelligence. A key part of your role is translating experimental AI use cases into production-ready platform capabilities. You evaluate models, validate hypotheses and ensure that only high-quality, reliable and scalable solutions are deployed to the AI platform. You collaborate closely with Data Engineers, Platform Engineers and stakeholders across the organisation to ensure that data pipelines, models and AI outputs are aligned, governed and fully integrated into the broader data ecosystem. At the same time, you contribute to building a responsible and scalable AI foundation — embedding governance, documentation and compliance standards into the AI platform. What you will doDesign, build and deploy machine learning models and AI solutions on the AI platform (Databricks)Develop and operationalise LLM-powered applications and intelligent agentsOwn the end-to-end ML lifecycle, from data preparation to monitoring in productionCollaborate with Data Engineers to ensure high-quality, platform-ready data pipelines (Bronze → Silver → Gold)Validate AI use cases through structured experimentation and hypothesis testingIntegrate AI outputs into downstream platforms such as BI and activation toolsContribute to AI governance, including documentation, bias assessment and complianceParticipate in sprint cycles, code reviews and architectural discussionsContinuously improve model performance, scalability and reliability within the platform About the roleYou will be part of a growing Data & AI division that is central to the transformation of HeadFirst Group x Impellam into a truly data-driven organisation. Working with modern technologies such as Databricks, Mosaic AI and Unity Catalog, you help build and scale a shared AI platform that supports both operational excellence and product innovation. This role offers a strong combination of hands-on machine learning engineering, platform-based development and exposure to strategic AI initiatives.What you bringYou are a hands-on Machine Learning Engineer with a strong technical foundation and a pragmatic approach to building scalable AI solutions on top of a shared platform.3–5+ years of experience in machine learning, AI or data engineering rolesProven experience with Databricks (Mosaic AI, MLflow, Feature Store, Delta Lake, Unity Catalog)Strong Python skills (PySpark, scikit-learn, PyTorch or TensorFlow)Experience with LLMs, prompt engineering and RAG-based architecturesSolid understanding of data modelling and medallion architecturesExperience with ML lifecycle management, experimentation and model versioningFamiliarity with CI/CD pipelines for machine learning workflowsStrong SQL skills and experience working with large-scale datasetsExperience with monitoring and observability of models and pipelines What you offer as a professionalStrong communication skills — able to translate technical outputs into business insightsA structured and quality-driven approach to engineering and documentationA collaborative mindset, working effectively across technical and business teamsA pragmatic approach to building and scaling AI solutionsA strong drive to continuously learn and stay ahead in the AI landscapeMobility budget or Lease car: NoBrand: HeadFirst Group