Engineering Manager, Machine Learning, Marketplace, Ecommerce Users | Remote O

Engineering Manager, Machine Learning, Marketplace, Ecommerce | 35 Million Users | UK Remote or London, Hybrid, 1 Day PW, Up to £140,000

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Our client is a highly respected digital marketplace focused on sustainable e‑commerce. With over 35 million active users globally, the company is redefining how people buy and sell second‑hand fashion, aiming to make the future of style both circular and accessible.

The company operates from offices in the UK, EU and US and has experienced significant growth, particularly in the US market. It is part of a leading global e‑commerce group and commits to fostering inclusivity, creativity, and innovation. The organisation champions diversity, equal opportunity, and flexible working, offering a progressive benefits package designed to support wellbeing, learning, and work‑life balance.

Our client is seeking an experienced Machine Learning Engineering Manager to lead the recommendation team. This person will drive innovation in how users find and engage with products through advanced machine learning models, improving search relevance, personalisation, and conversion outcomes at scale.

You’ll lead a talented team of ML scientists and collaborate cross‑functionally with product, data, and engineering leaders to define and execute the ML roadmap for search. It’s an opportunity to have tangible business impact while working with cutting‑edge technology in NLP, computer vision and multimodal retrieval.

• Lead, coach, and develop a team of ML scientists, fostering a culture of experimentation, collaboration and continuous learning.
• Partner with product, data and engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion and growth.
• Oversee the design, training and deployment of search and recommendation models – from data strategy to monitoring and performance optimisation.
• Collaborate with platform and MLOps teams to ensure robust, efficient and scalable ML workflows (including CI/CD, feature management and monitoring).
• Share insights and best practices across other ML teams, particularly in recommendations, ranking and multimodal representation learning.
• Stay current with emerging research in NLP, CV and multimodal retrieval; champion responsible AI principles and communicate findings to technical and non‑technical audiences.

• 7+ years of experience in applied machine learning with a proven track record delivering production models at scale.
• At least 2 years of leadership experience managing ML scientists or engineers.
• Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning‑to‑rank, personalisation algorithms).
• Hands‑on experience with modern ML tool chains – Python, Spark and frameworks such as PyTorch or Tensor Flow.
• Strong grounding in experimental design, A/B testing and the use of offline/online metrics to guide product strategy.
• Excellent communication and stakeholder management skills, bridging complex ML concepts for diverse audiences.
• Familiarity with AWS and Databricks.
• Experience with search infrastructure (e.g., Open Search or Elasticsearch).

• Private health and mental wellbeing coverage, including access to counselling and coaching.
• Salary up to £140,000 plus bonus & benefits.
• 25 days annual leave, plus additional company‑wide rest days and volunteer leave.
• Flexible hybrid working, with the option to work abroad for limited periods.
• Generous parental, IVF and carer leave policies.
• Learning and development budgets for conferences, mentorship and skill growth.
• Pension matching, life insurance and recognition for service milestones.

If you are interested in this role, submit your CV and we will get in touch if we think you are a good fit.

Mid‑Senior level

Full‑time

Retail, Apparel, and Fashion