Machine Learning Engineer, Valuations

About Motorway

Motorway is the UK's fastest-growing used car marketplace - our award winning, online-only platform connects private car sellers with over 7,500 verified dealers nationwide, who compete to offer the best price. Founded in 2017, our technology makes the process refreshingly easy, earning us an 'Excellent' Trustpilot rating with over 70,000 reviews. We're not just building a platform; we're changing how people sell cars.

Backed by leading investors like Index Ventures and ICONIQ Growth, and following a successful $190 million funding round, we're on a mission to transform the used car market.

About the team

We're redefining how cars are valued and sold online, and our mission is to make the process as simple and enjoyable as a Sunday drive. We're a tight-knit, data-driven bunch who love tackling complex challenges with innovative solutions. Our work directly impacts thousands of car sellers and dealers daily, ensuring they get the best possible deal. We're looking for a talented Machine Learning Engineer to join our journey and help us build the future of vehicle pricing.

About the role

1. Develop and Deploy Machine Learning Models:You'll design, build, and deploy robust machine learning models that power our vehicle pricing service. Think XGBoost, GPs, and Bayesian models, all running smoothly on GCP and Vertex AI.
2. Build and Maintain Production ML Systems:You'll ensure our backend systems and APIs deliver real-time pricing predictions across all platforms, 24/7. We're talking high-performance, scalability, and stability.
3. Collaborate Effectively:You'll team up with data scientists, analysts, and engineers to solve challenging pricing problems. You'll also partner with our Infrastructure team to align with company-wide best practices.
4. Drive Innovation:You'll be a key player in shaping the future of our pricing architecture. We encourage you to stay curious about emerging technologies (including generative AI) and bring your innovative ideas to the table.

About you

1. ML Experience:You've deployed ML models at scale and have a good understanding of state-of-the-art regression and probabilistic models.
2. Technical Skills:You're proficient in Python (pandas, scikit-learn, fastAPI/flask, pydantic, DVC) and SQL. You also have a strong knowledge of systems design, including serverless and event-driven microservice architecture.
3. Engineering Excellence:You're passionate about writing clean, maintainable code and have strong practices within the context of ML, including OOP, abstraction, error handling, and logging.
4. Cloud and Tools:You're familiar with ML lifecycle tools like Kubeflow and cloud platforms (GCP, Vertex AI, AWS). You also have experience with CI/CD pipelines (e.g., GitHub Actions), Docker, and IaC tools (e.g., Terraform).
5. Testing and Evaluation:You have experience building ML evaluation frameworks and writing tests (unit, integration).
6. Ownership and Collaboration:You have a strong sense of ownership, autonomy, and a highly organised nature. You're also a great team player and communicator.

You could be a great fit if

1. You're proficient in Typescript/JavaScript and Node.js.
2. You're passionate about building and deploying machine learning models that have a real-world impact.
3. You're a creative problem-solver who loves tackling complex challenges.
4. You're a team player who thrives in a collaborative environment.
5. You're excited about the future of vehicle pricing and want to be part of a company that's redefining the used car marketplace.

Our interview process

1. Qualifying Screen - 30 minutes
2. Hiring Manager Interview - 60 minutes
3. Technical Assessment - 60 minutes
4. Final Interview (onsite depending on team) - 60 minutes

We'll get back to you within a week of each interview stage. You can chat with a talent partner throughout the process if you have any questions or need anything at all.

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