UK's fastest-growing used car marketplace connecting private car sellers with verified dealers nationwide through an online-only platform.

Motorway, the UK's fastest-growing used car marketplace, is seeking a Senior Backend Engineer to join their innovative team. The company, founded in 2017, has grown to over 400 employees across London and Brighton offices, revolutionizing the car selling experience through their online platform.

This role presents a greenfield opportunity to build new and innovative products while working with cutting-edge technologies. You'll be part of a mission to create the most powerful vehicle transaction platform globally, utilizing JavaScript, Node.JS, and TypeScript within an AWS microservices architecture.

As a Senior Backend Engineer, you'll be responsible for architecting and developing new features, optimizing performance, and ensuring scalability. You'll work closely with product and design teams to deliver excellent user experiences while maintaining high-quality standards. The role offers significant impact potential and fast career growth in a forward-thinking environment.

The company offers an attractive benefits package including BUPA health insurance, annual learning budget, hybrid working arrangements, and innovative perks like an electric vehicle leasing scheme. They maintain a strong commitment to equality and inclusion, welcoming applications from all backgrounds and experiences.

The ideal candidate will bring significant commercial experience with JavaScript and modern frameworks, along with expertise in AWS deployment and database optimization. You'll thrive in an agile, collaborative environment where you can contribute to technical strategy while championing software development best practices.

Senior Backend Engineer role at Motorway, building scalable solutions for UK's leading used car marketplace using JavaScript, Node.js, and AWS.

Senior Backend Engineer

Motorway, the UK's fastest-growing used car marketplace, is revolutionizing the automotive industry with its online-only platform. As a Senior Backend Engineer, you'll join a team of over 400 people across London and Brighton offices, working on creating the most powerful vehicle transaction platform globally. This is an exciting greenfield opportunity where you'll build innovative products, experiment with machine learning, and develop new features using modern technologies like JavaScript, Node.js, and TypeScript on AWS infrastructure.

The role offers a perfect blend of technical challenges and business impact, where you'll be responsible for architecting and developing scalable solutions, optimizing performance, and working collaboratively with product and design teams. You'll be part of a flat-structured development team, contributing to both technical and product strategy.

The company offers an attractive benefits package including BUPA health insurance, annual learning budget, hybrid working model, and various lifestyle perks. The inclusive culture and commitment to personal growth make it an ideal place for ambitious engineers looking to make a significant impact while developing their careers. The role requires significant commercial experience with JavaScript and modern web technologies, but the company encourages applications even if candidates don't meet all requirements.

Working at Motorway means being part of a transformative journey in the automotive industry, with the opportunity to solve fascinating problems while working with cutting-edge technology. The company's rapid growth and focus on innovation provide an excellent environment for professional development and meaningful contribution to reshaping how cars are bought and sold in the UK.

Senior Backend Engineer role at Motorway, UK's leading used car marketplace, focusing on JavaScript/Node.js development with AWS infrastructure in a hybrid work environment.

Motorway is an online automotive marketplace revolutionizing the vehicle selling and buying experience.

We're looking for an enthusiastic Machine Learning Engineer to join our Machine Vision team. This role focuses on developing high-quality, performant computer vision models and pushing boundaries by building innovative GenAI applications. You will be joining a team whose mission is to streamline vehicle profiling and transform the online vehicle selling and buying experience for all our customers—including both sellers and dealers.

In this role, you'll collaborate closely with machine learning engineers, backend engineers, and product managers to develop scalable, high-performing ML solutions that elevate the customer journey. By applying your expertise in computer vision and exploring advanced Gen AI technologies, you'll create new applications that elevate the process for everyone involved.

Key Responsibilities:
- Contribute to the development, deployment, and maintenance of computer vision models in production environments, ensuring optimal performance, reliability, and scalability.
- Develop and implement best practices for MLOps, including version control, CI/CD pipelines, containerisation, and cloud-based orchestration.
- Experience in developing and shipping GenAI solutions utilising Large Language Models (LLMs).
- Collaborate cross-functionally: Work closely with data analysts, product managers, and business stakeholders to translate business needs into technical solutions.
- Mentor other ML practitioners, sharing knowledge and raising the technical bar across the team.
- Innovate and stay updated with the rapidly evolving machine learning landscape, identifying and adopting new techniques, tools, and methodologies as appropriate.

If you're passionate about innovation in AI and creating impactful solutions, join us to revolutionise the online automotive marketplace.

Join Motorway as a Machine Learning Engineer specializing in Computer Vision to develop innovative AI solutions for the automotive marketplace.

Machine Learning Engineer - Computer Vision

Motorway is the UK's fastest-growing used car marketplace, connecting private car sellers with verified dealers nationwide through an online-only platform.

Motorway, the UK's fastest-growing used car marketplace, is seeking a Machine Learning Scientist specializing in Bayesian ML. This role is crucial for advancing our vehicle pricing strategies using advanced probabilistic models and Bayesian statistics. The ideal candidate will have a strong background in Bayesian statistics and calibrated probabilistic machine learning methods, with experience in applying these at scale.

Key responsibilities include:
- Developing and enhancing pricing models using Bayesian statistics
- Implementing cutting-edge techniques in Bayesian methods and machine learning
- Analyzing market dynamics to understand price influences on seller and buyer behavior
- Scaling machine learning solutions for real-time responsiveness in a dynamic market
- Collaborating cross-functionally with data engineers, scientists, product managers, and business stakeholders

The role requires:
- Ph.D. or Masters in Statistics, Machine Learning, or related field with emphasis on Bayesian methods
- Extensive experience with Bayesian optimization and probabilistic modeling
- Strong programming skills in Python and familiarity with ML libraries
- Experience in applying complex models at scale
- Excellent problem-solving abilities and a data-driven mindset

Motorway offers a range of benefits including stock options, annual learning budget, health insurance, and a hybrid working model. The company is committed to equality of opportunity and welcomes applications from all individuals regardless of background.

Join Motorway to be at the forefront of applying advanced statistical methods in the dynamic used car marketplace, working with a team of over 450 people across London and Brighton offices.

Join Motorway as a Machine Learning Scientist specializing in Bayesian ML to revolutionize vehicle pricing in the UK's fastest-growing used car marketplace.

Motorway Engineering Jobs

UK's fastest-growing used car marketplace connecting private car sellers with verified dealers nationwide through an online-only platform.