ML Platform Engineer

We are the UK’s fastest-growing used car marketplace – our online-only platform connects private car sellers with thousands of verified dealers nationwide, ensuring everyone gets the best deal.

Founded in 2017, our technology-led approach has redefined the experience of selling a car, generating thousands of monthly car sales and helping us to grow to a team of over 400 across 3 locations.

This is a unique opportunity to join a fast-growing scale-up at a crucial phase of growth, build amazing products and help change an industry for the better.

About the role

We are pushing the boundaries of vehicle profiling and valuation automation for our car sellers and dealers, and you’ll be part of that! Are you up for the challenge?

As a Senior ML Engineer you’ll be on a mission: to create the most convenient and powerful vehicle selling experience by leveraging machine learning technology, creating amazing user journeys in our products.

This is an exciting opportunity where you’ll lead the design, development, and optimization of machine learning pipelines, ensuring the best efficiency, performance, and production maturity of our products whilst using the best ML technologies!

You will:

• Own the deployment, monitoring, and maintenance of ML models in production environments, ensuring optimal performance, reliability, and scalability.
• Collaborate with senior stakeholders to align MLOps objectives with overall business goals and priorities.
• Identify and address technical debt in a timely manner, prioritizing long-term success and maintainability of machine learning projects.
• Develop and implement best practices for MLOps, including version control, CI/CD pipelines, containerization, and cloud-based orchestration.
• Mentor and guide team members in MLOps best practices, fostering a culture of continuous learning and improvement.
• Innovate! You’ll need to stay updated with the rapidly evolving machine learning landscape, identifying and adopting new techniques, tools, and methodologies as appropriate.

Requirements

• Expert in deploying, maintaining, and optimising deep learning pipelines, focusing on efficiency, performance, and production maturity.
• A high level of expertise in Python, with good experience of machine learning libraries such as TensorFlow, PyTorch.
• Good experience with best-in-class MLOps tools, such as DVC, Weights and Biases, MLFlow, AWS SageMaker or similar.
• Extensive devops experience, including VCS (preferably with git and GitHub), CI/CD (preferably GitHub Actions), with proven experience in release management, incorporating rigorous testing, validation and quality assurance processes.
• Proficient in Docker and cloud-based container orchestration services.
• Highly accomplished in common AWS services such as ECS, EC2, Fargate, S3.

Benefits

We believe in rewarding you with more than just a pay cheque. That's why we've created a benefits package to help you do your best work, look after your health and support your development.

• A competitive salary
• Annual learning budget - you can choose how you like to learn and find the best learning experiences to support your progression.
• BUPA health insurance
• Discounted dental through BUPA
• Discounted gym membership through BUPA
• On-Hand volunteering membership and one paid volunteering day per year
• Hybrid working from home (approximately 1-2 days in the office a week)
• Pension scheme
• Motorway car leasing scheme - lease a zero-emissions electric vehicle at a significant discount
• Enhanced parental leave
• Top spec M1 MacBook Pro and accessories
• Regular social events
• Cycle to work scheme
  

Equal opportunities statement

We are committed to equality of opportunity for all employees. We work to provide a supportive and inclusive environment where people can maximise their full potential. We believe our workforce should reflect a variety of backgrounds, talents, perspectives and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing and advancing individuals based on their skills and talents.

We welcome applications from all individuals regardless of age, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships.

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