Role

Depop is looking for a talented ML Manager to lead our Search ML team in the UK. In this role, you will lead a team of ML Scientists, building state-of-the-art models to power Depop's search engine.

Responsibilities

You will:

• Lead and mentor a team of ML Scientists, setting the vision and fostering an inclusive, experiment-driven culture.
• Partner with the team's leads (Product Manager, Backend EM, Data Analyst) to translate business questions into an actionable search-ML roadmap that moves GMV, conversion and engagement.
• Collaborate with the MLOps team to embed best practices and efficient ML workflows - covering CI/CD, feature management, monitoring, etc..
• Collaborate with other ML teams, sharing models, tooling and insights, particularly in areas like Recommendations and Ranking
• Stay on the pulse of new research in NLP, CV and multimodal retrieval, champion responsible-AI best practices, and present findings to technical and non-technical audiences.

• Significant experience (7+ years) working in Machine Learning, delivering models to solve industry-scale problems, and 2 + years leading teams of ML Scientists and/or ML Engineers
• Deep expertise in search and recommendation techniques: semantic embeddings, learning-to-rank, personalisation algorithms, etc.
• Proven track record of delivering ML modes end-to-end: data strategy, training, deployment and monitoring , using Python, Spark and major deep-learning frameworks (e.g. PyTorch or TensorFlow)
• Experience working in cloud and MLOps environments
• Strong command of experimental design, offline metrics and online A/B testing to drive product strategy
• Excellent collaboration and communication skills, able to translate complex ML concepts seamlessly for PMs, engineers and executives

• Experience with AWS & Databricks
• Experience with OpenSearch