Machine Learning Engineer - Computer Vision

About the role:

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

Key Responsibilities:

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

Requirements:

1. Strong programming skills in Python and good experience with machine learning libraries such as PyTorch (preferable), TensorFlow.
2. Experience in deploying, maintaining, and optimising deep learning pipelines, focusing on efficiency, performance, and production maturity.
3. Strong understanding of machine learning principles, deep learning techniques and concepts such as prompt engineering, chain-of-thought reasoning, prompt chaining, Retrieval-Augmented Generation (RAG), custom-built agents.
4. Familiarity with LLM frameworks like LangChain, AutoGen, or similar.
5. Proficiency in ML-Ops practices and tools; basic understanding of DevOps and CI/CD.
6. Experience with cloud platforms (e.g. AWS, GCP) and deploying models in production.
7. Proficient in Docker and cloud-based container orchestration services such as AWS Fargate, Google Cloud Run etc.
8. You thrive working on ambiguous problems and have a track record of helping your team and stakeholders resolve ambiguity.
9. You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain.

We encourage you to apply, even if you don't consider you have all the skills required!

Benefits:

1. Stock options - we succeed and fail together as a team, so we want you to be included in our success.
2. Annual learning budget - you can choose how you like to learn and find the best learning experiences to support your progression.
3. BUPA health insurance.
4. Discounted dental through BUPA.
5. Discounted gym membership through BUPA.
6. On-Hand volunteering membership + 1 volunteering day per year.
7. Hybrid working from home (approximately 1-2 days in the office a week).
8. Pension scheme.
9. Motorway car leasing scheme - lease a zero-emissions electric vehicle at a significant discount.
10. Cycle to work scheme.
11. Enhanced maternity/paternity leave.
12. Regular social events.

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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