Senior Machine Learning Engineer at Depop

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

E-commerceIndustries

Requirements

Candidates should have a proven track record of building and deploying ML pipelines and contributing to ML platform tooling, with a solid understanding of ML workflows and experience supporting scientists through to production. They must possess strong ownership, the ability to work independently, and excellent communication skills across technical and non-technical stakeholders. Experience designing systems in modern cloud environments such as AWS or GCP is required, along with proficiency in Python, ML and MLOps tooling (e.g., SageMaker, Databricks, TFServing, MLflow), common ML libraries (e.g., scikit-learn, PyTorch, TensorFlow), Spark and Databricks, AWS services (e.g., IAM, S3, Redis, ECS), shell scripting, CI/CD tools, and streaming/batch data systems (e.g., Kafka, Airflow, RabbitMQ).

Responsibilities

The Senior Machine Learning Engineer will design and implement pipelines for training, deploying, and monitoring real-time and batch ML models. They will work closely with ML Scientists to productionize models and improve reliability, latency, and observability, while partnering with backend and product teams to define integration requirements and coordinate deployments of shared ML components. Responsibilities also include helping design and extend the ML platform at Depop, focusing on robust prototyping, training workflows, CI/CD for model deployment, real-time and batch model serving, online/offline feature consistency, and monitoring/alerting. The role requires holding high standards for operational excellence, including testing, monitoring, maintainability, and incident response, and contributing to a strong ML engineering culture focused on scalability, collaboration, and continuous learning.

Skills

Machine Learning

ML Infrastructure

Product Matching

Image Embedding

MLOps

Backend Engineering

Depop

Peer-to-peer marketplace for unique fashion items

About Depop

Depop is an online marketplace designed for buying, selling, and discovering unique fashion items, including designer pieces, vintage finds, streetwear, and sneakers. The platform operates as a peer-to-peer marketplace, allowing users to list their items for sale directly to other users. Depop generates revenue by taking a commission on each sale, which aligns the company's success with that of its sellers. The platform primarily targets younger consumers who value sustainability and often seek second-hand fashion items, making it an appealing option for those looking to reduce waste and support independent brands. Additionally, Depop fosters a sense of community among its users, encouraging interaction and connection, which enhances the buying and selling experience. This community-driven approach, along with its focus on unique and sustainable fashion, sets Depop apart from other online marketplaces.

London, United KingdomHeadquarters

2011Year Founded

$97.3MTotal Funding

ACQUISITIONCompany Stage

Consumer GoodsIndustries

1,001-5,000Employees