Machine Learning Engineer (AI Platform)

Build and scale AI solutions on a global data platform

Location: UK (preferred), Netherlands, or Belgium

Are 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 deploy 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 impact

As 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 will be responsible for the entire machine learning lifecycle within the platform: from data preparation and feature engineering to model deployment, monitoring, and iterative improvements in production. Working with both predictive models and generative AI, you will 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 work closely with data engineers, platform engineers, and stakeholders across the organization 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 help build a responsible and scalable AI foundation—by embedding governance, documentation, and compliance standards into the AI platform.

What you will do

• Design, build, and deploy machine learning models and AI solutions on the AI platform (Databricks)

• Develop and deploy LLM-powered applications and intelligent agents

• Take full ownership of the end-to-end ML lifecycle, from data preparation to monitoring in production

• Collaborate with data engineers to ensure high-quality, platform-ready data pipelines (Bronze → Silver → Gold)

• Validate AI use cases through structured experimentation and hypothesis testing

• Integrate AI outputs into downstream platforms such as BI and activation tools

• Contribute to AI governance, including documentation, bias assessment, and compliance

• Participate in sprint cycles, code reviews, and architectural discussions

• Continuously improve model performance, scalability, and reliability within the platform

About the role

You will be part of a growing Data & AI division that plays a central role in the transformation of HeadFirst Group x Impellam into a truly data-driven organization.

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.