Senior Machine Learning Engineer (Motors)

USoftware

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profile Job Location:

Warsaw - Poland

profile Monthly Salary: Not Disclosed
Posted on: 26-10-2025
Vacancies: 1 Vacancy

Job Summary

About us:
At MOTORS we like to say that we know MOTORS!
Millions of people come to us every month to find their next car because we keep the car search process simple. We have hundreds of thousands of used cars listed for sale by dealers nationwide and guides advice tips and reviews to help buyers find the right one.
We dont just help consumers though. For our dealer partners we offer a unique advertising ecosystem that enables them to showcase their cars to buyers across some of the UKs largest car search sites including Motors Cazoo eBay Gumtree and Parkers.
In 2024 Cazoo became part of the MOTORS family when we purchased the brand and launched the Cazoo app. So its an incredibly exciting time for Cazoo as we look to transform one of the UKs most well-known automotive brands into one of its leading automotive marketplaces.
MOTORS is also the proud sponsor of The British Motor Show and the Official Automotive Marketplace partner of Premier League club Brentford FC.

About the role:
We are seeking an accomplishedSenior Machine Learning Engineer with a strong background in Azure technologies to join our Data team within Motors & Cazoo. You will play an integral role in building robust reliable and scalable machine learning use cases from identifying new opportunities to transforming them into dependable products.
Your work will involve close collaboration with stakeholders data specialists and cloud teams to design develop and maintain machine learning solutions with a strong focus on automation observability and operational excellence.

Main responsibilities:
You will be a senior contributor and trusted advisor helping us develop innovative AI-driven solutions:

  • Drive innovative business use cases by applying ML models and techniques including recommenders price prediction personalization and more.

  • Lead the design and deployment of ML algorithms and models in Azure and Databricks environments.

  • Optimize ML infrastructure using Azure-native services and related tools.

  • Continuously improve performance availability cost and quality of ML models and systems.

  • Implement best-in-class monitoring logging and alerting practices for complete observability.

  • Champion data-driven decision-making and machine learning adoption across the organization.

Your experience:
We would expect you to have proven experience in the following areas:

  • Significant hands-on experience as a Machine Learning Engineer.

  • A balanced mix of technical expertise leadership skills and holistic system thinking.

  • Deep knowledge of ML concepts algorithms and real-world application best practices.

  • Strong proficiency in Python and ML libraries/frameworks such as scikit-learn XGBoost PyTorch or TensorFlow.

  • Practical experience building secure reliable ML infrastructures using Terraform and Infrastructure as Code best practices.

  • Experience with Azure Kubernetes Service (AKS) and container networking models.

  • Proven track record managing and optimizing ML workloads in production environments.

  • Strong problem-solving abilities and collaborative approach.

  • Excellent communication skills capable of explaining complex technical ideas to non-technical stakeholders.

Whats in it for you

  • Working for the customer directly an ownership culture.

  • 20 fully paid business days of vacation.

  • 15 fully paid sick leaves.

  • Public holidays.

  • Compensation for health insurance and sports club membership (after trial period).

  • Ability to work from home or remotely.

Apply and Join Us Today!


Required Experience:

Senior IC

About us:At MOTORS we like to say that we know MOTORS!Millions of people come to us every month to find their next car because we keep the car search process simple. We have hundreds of thousands of used cars listed for sale by dealers nationwide and guides advice tips and reviews to help buyers fin...
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Key Skills

  • Industrial Maintenance
  • Machining
  • Mechanical Knowledge
  • CNC
  • Precision Measuring Instruments
  • Schematics
  • Maintenance
  • Hydraulics
  • Plastics Injection Molding
  • Programmable Logic Controllers
  • Manufacturing
  • Troubleshooting

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