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 don't just help consumers, though.

For our dealer partners, we offer a unique advertising ecosystem that allows them to get their cars seen by buyers across some of the UK’s biggest car search sites: MOTORS, Cazoo, eBay, Gumtree and Parkers.

In 2024 we acquired Cazoo, one of the UK’s most recognised automotive brands, marking the start of an exciting new chapter. We’re now building on Cazoo’s strong brand recognition to create the next-generation car search experience—one that’s simpler, smarter, and more transparent.

We’re excited about what’s ahead, and we’re looking for ambitious, adaptable team members who thrive in a fast-moving, evolving business.

About the role:

We're seeking an accomplished Senior Machine Learning Engineer with a strong background in Azure technologies to join our Data team within Motors & Cazoo. You'll play an integral part in building robust, reliable, and scalable machine learning use cases.

Your role as a Senior Machine Learning Engineer will be crucial in identifying new machine learning use cases and transforming them into dependable products. You'll leverage your substantial machine learning expertise and practical implementation skills to explore and maximize the potential of our cloud-based infrastructure.

You'll work alongside stakeholders, data specialists and cloud teams, to create and maintain machine learning solutions, focusing on automation, observability, and operational excellence.

Reports To: Head of Data Engineering

Contract Type: Permanent

Location: Richmond UK, Remote

Key Responsibilities:

• You will be a senior contributor and trusted advisor to help us develop innovative solutions with AI:
• Drive innovative business use cases by applying ML models and techniques, including recommenders, price prediction, personalization, etc.
• Lead the design and deployment of machine learning algorithms and models in Azure and Databricks environments.
• Optimize our ML infrastructure utilizing Azure-native services and similar tools.
• Proactively optimize machine learning models and systems to improve performance, availability, cost, and quality.
• Maintain comprehensive observability across the system, implementing top-tier monitoring, logging, and alerting practices.
• Be a strong advocate for data-driven decision-making and machine learning across the organization.

Experience: 

• Significant work experience as a Machine Learning Engineer
• Healthy mix of hands-on expertise, leadership, and the ability to think holistically across systems
• Deep understanding of machine learning concepts, algorithms, and best practices, with a proven ability to apply them effectively in real-world scenarios.
• Strong proficiency in Python, including experience with libraries and frameworks commonly used in machine learning, such as scikit-learn, xgboost, PyTorch or TensorFlow
• Practical experience with designing, developing, and scaling secure, reliable ML infrastructures using Terraform and IaC best practices.
• Experience with Azure Kubernetes Service (AKS) and associated container networking models.
• Experience in managing and optimizing machine learning workloads in live environments.
• Demonstrated ability to collaboratively solve complex problems.
• Exceptional communication and collaboration aptitude, capable of clarifying technical concepts to non-technical stakeholders.

If you're excited about building scalable cloud infrastructure, solving real-world challenges, and helping drive meaningful change, we'd love to hear from you.

At MOTORS, we’re fearlessly committed to helping car buyers and dealers save time, money, and energy. If you’re ready to challenge the status quo, give it your all, and come out smiling, you’ll fit right in. You can expect a fast pace, plenty of support and a commitment to work flexibility. Are you ready?

Perks & Benefits

We offer a supportive, flexible, and growth-focused workplace. At Motors you will have a healthy work-life balance, continuous learning, remote work options, and engaging challenges. Join us for a fulfilling career where your well-being is a priority.

Financial reward 💷

• Competitive Pay
• Discretionary Bonus
• Pension Scheme (up to 9% Employer Contribution)
• Employee recognition scheme with great financial prizes ££

Work-life balance 🏖️

• 25 days holiday per year growing with length of service
• Hybrid and UK Remote working depending on role
• Generous Family Friendly Leave
• Free counseling and support (for when you might need it)

Health & Insurance 🏩

• Private Healthcare Insurance
• Private Dental insurance cover & Cashback.
• Online private GP service.
• Generous sick pay support
• Life assurance policy (x4 Life Assurance)

Other 🔍

• Social & Inclusion Calendar - packed with events.
• Free food and beverage in our office locations

Diversity & Inclusion at Motors

Here at Motors we are on a mission to create a culture where all our teams are inspired to share their passion, talents and ideas with equal opportunities for growth and career development throughout both of our brands.

We know that a diverse and inclusive team drives creativity and makes both our brands stronger. That’s why we’re committed to discovering new talent and employing people who reflect the nature of the society around us, so that when you join Motors you can be you!