Top Tech Jobs & Startup Jobs in London

Lead the Trust Detection team, develop ML models for user safety, manage resources and stakeholders, and focus on data-driven user outcomes.

Lead analytics and technical discovery for a core product area, partner with product/engineering/ML teams, design and evaluate A/B experiments, build scalable datasets and dashboards, and influence product and commercial strategy through rigorous analysis and ML evaluation support.

Lead the design and deployment of recommendation systems, mentor team members, collaborate across functions, and innovate using emerging ML techniques.

The Senior Data Platform Engineer will architect and build a scalable data platform, enabling teams to manage data with self-serve capabilities using modern tools. Responsibilities include developing microservices, leading technical initiatives, and promoting data governance and observability, collaborating with diverse stakeholders, and mentoring team members.

Join Depop as a Senior Machine Learning Engineer to design and implement ML pipelines for recommendations, collaborating with teams to enhance product personalization.

The role involves leading the Community Experience squad to improve customer support tooling and experiences, managing and guiding engineers while ensuring high-quality delivery and effective collaboration across teams.

Depop seeks a Senior Machine Learning Engineer for the Ranking team to develop and maintain machine learning systems for personalized rankings. Responsibilities include designing training pipelines, collaborating with ML scientists, and optimizing model serving systems.

Lead a new Pricing - Buyer Value engineering squad (iOS + backend), own delivery, team health, and cross-functional alignment. Hire and line-manage 4–6 engineers, partner with Product, Design, ML and Analytics, drive experimentation and data-driven decisions, establish ways of working, and foster inclusive culture, coaching, and career growth.

Join the Decision Experience team to design and deliver high-traffic iOS buyer experiences. Lead architecture and product decisions, mentor engineers, write and maintain automated tests, integrate with backend APIs, and use data-driven experimentation to improve conversion and discovery flows.