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Job Description

CRE is the team behind Unicron, a modern data science, machine learning and big data platform, which runs on top of Kubernetes that we manage through GitOps. 

We built Unicron as an internal response to all Adevinta Global and marketplaces teams to help them process petabytes of data and easily build amazing machine learning models at scale. Today, we’re currently managing 70+ Kubernetes clusters with minimum overhead. 

We help Adevintans adopt good practices, reusing artifacts such as templates, libraries and other accelerators to make their life way easier.

We’re looking for a machine learning engineer to:

  • Work with other teams to understand their current processes and missing opportunities around data engineering and machine learning development and to find solutions to cover those needs.

  • Help define a machine learning golden path, supported by best practices, proven processes and technology.

  • Evaluate and select the best technology to be offered as-a-service in the Unicron platform.

  • Help onboard teams to our platform and services, track their progress and learn from their feedback.

  • Build highly reliable, secure and scalable solutions for data science and machine learning, on top of a wide spectrum of technologies, e.g. AWS, GCP or Azure, Kubernentes, Docker, Airflow, Hadoop, Python, Go or Rust, GitHub, CI/CD tools...

  • Monitor and automate the operations and production of large-scale distributed systems.


  • Passionate about platform development and modern engineering practices

  • Extensive experience applying machine learning modeling to create data products

  • Experience with AWS and/or other cloud providers

  • Experience with machine learning technologies such as Kubeflow, Vertex AI, SageMaker, MLFlow and/or Neptune

  • Experience with infrastructure and containers platforms such as Docker and Kubernetes

  • Being able to communicate your findings in a concise way to a technical and non-technical audience

  • Comfortable working in an iterative incremental framework

  • Knowledge in any machine learning field like Natural Language Processing,  Computer Vision or Forecasting" is a plus

Additional Information

What you’ll get from us

  • Flexible benefits programme (transport, restaurants, child-care, etc)

  • 26 days of holidays

  • Competitive compensation package

  • A unique position in an international and dynamic environment

  • Opportunity to shape the way we work. Your feedback and opinions are valued at all levels of the organization

  • The chance to be a key player in a growing, highly skilled team

  • Great colleagues and a healthy working environment

  • Benefits including private health insurance, stock purchase plan and bonus

  • Flexibility to work when and how you want - flexible hours, choose your phone and computer

  • Career development, including individual training budget and language classes

Additional Information

Adevinta is an equal opportunity employer and values diversity in our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status. If anything you’ve read above ticks your boxes, then why not apply now to find out more!

Company Description

We’re Adevinta, a global leader in digital marketplaces. Our household name brands, including marktplaats in The Netherlands, Mobile.de in Germany and leboncoin in France, reach hundreds of millions of people every month. 

We’re all about matchmaking, and our sites help people find whatever they’re looking for in their local communities – whether it’s a car, an apartment, a sofa or a new job. Every connection made or item found makes a difference by creating a world where people share more and waste less. 

Our brands are supported by global Tech Hubs in Paris and Barcelona. Their goal is to develop common global product and innovation platforms which all of our brands can use. This means using cutting edge technology to create highly scalable, customisable and secure products and components that free up development time and leverage our access to global data.

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