Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote O[...]

Owen Thomas | Pending B Corp; Greater London; Hybrid; GBP 119,000 - 140,000; Full time

Job summary

A prominent digital marketplace in the UK is seeking an Engineering Manager specialized in Machine Learning to lead a team focused on enhancing user engagement through advanced ML models. The role offers a salary of up to £140,000 with a progressive benefits package, including private health coverage and flexible hybrid working options. Ideal candidates will have over 7 years in machine learning, experience managing teams, and deep expertise in search and recommendation systems. This is an exciting opportunity to work with cutting-edge technology and make a tangible impact on the company's direction.

Benefits

Private health and mental wellbeing coverage

Generous parental and IVF leave policies

Learning and development budgets

Flexible hybrid working options

Qualifications

• 7+ years in applied machine learning with production experience.
• 2+ years managing ML Scientists or Engineers.
• Expertise in search and recommendation systems.
• Hands-on with modern ML toolchains.

Responsibilities

• Lead and develop a team of ML Scientists.
• Partner with cross-functional leaders to deliver ML strategy.
• Oversee design, training, and deployment of models.
• Collaborate on ML workflows with platform teams.
• Share insights and best practices across teams.

Skills

Machine learning

Team leadership

NLP

Computer vision

Collaboration

Stakeholder management

Python

AWS

Tools

PyTorch

TensorFlow

Spark

OpenSearch

Elasticsearch

Job description

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

About the Company

Our client is an extremely well know, digital marketplace focused on sustainable ecommerce. With over 35 million of active users globally, they’re redefining how people buy and sell second-hand fashion, aiming to make the future of style both circular and accessible.

The company has offices in UK, EU and US and experienced significant growth especially around the US market and now operates as part of a leading global e-commerce group. They pride themselves on fostering inclusivity, creativity, and innovation and values that extend to both their community and their teams.

The organisation champions diversity, equal opportunity, and flexible working. They offer a progressive benefits package designed to support wellbeing, learning, and work-life balance.

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

Our client is seeking an experienced Machine Learning Engineering Manager to lead the reccomendation 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. This is an opportunity to have tangible business impact while working with cutting-edge technology in NLP, computer vision, and multimodal retrieval.

Key Responsibilities

• 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 areas of 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 both technical and non-technical audiences.

Requirements for the role

• 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 toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow.
• 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, with the ability to bridge complex ML concepts for diverse audiences.
• Familiarity with AWS and Databricks.
• Experience with search infrastructure (e.g., OpenSearch or Elasticsearch).

What can they offer you?

• Private health and mental wellbeing coverage, including access to counselling and coaching.
• Salary of up to £140,000+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 skills growth.
• Pension matching, life insurance, and recognition for service milestones.

If you are interested in the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, then drop over your CV and we will give you a call if we think you are a good fit!