MLOps Engineer

Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy. Find out more at www.depop.com . Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they’re from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We’re proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We’re continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to adjustments@depop.com . For any other non-disability related questions, please reach out to our Talent Partners. The Role At Depop, machine learning is integral to our value proposition. We are looking for an MLOps engineer to help level-up how ML solutions are delivered at Depop. You will be responsible for enabling our ML Scientists – currently spread across five product functions – to deliver value by providing self-serve platforms and services for ML model + feature development, deployment and monitoring. Do you find happiness in providing tooling, services and platforms that help businesses untap the enormous value of machine learning? If so, this could be the perfect match. Want to find out more about Depop & our engineering team? We write about technology, people and smart engineering right here – https://engineering.depop.com/ Responsibilities Helping design, implement and maintain tooling + platforms for: Productionising model training workflows ML feature engineering and deployment Deploying, monitoring and managing ML models in production Model performance monitoring and drift detection Model retraining, rollback, and continuous improvement Playing an enablement role by working closely with ML Scientists and Backend Engineers to maximise the value they get from the MLOps team’s tooling + platform offerings. Hold high standards for operational excellence; from running your own services to testing, monitoring, maintenance and reacting to production issues. Adding to a strong engineering culture orientated on technical innovation, continuous improvement and professional development. Requirements Consistent track record of successful end-to-end delivery of your projects; from scoping and translating business/user requirements into plans, to design, implementation and maintenance, whilst coordinating with other teams (and engineers). Strong programming skills in Python, with experience in ML libraries such as TensorFlow, PyTorch and Scikit-learn. Experience working with ML training/inference platforms such as Databricks, SageMaker and Seldon. Experience building CI/CD processes with tools such as Jenkins or GitHub Actions. A strong sense of ownership, autonomy and a highly organised nature. Exemplary communication skills, especially in dealing with multiple stakeholders. Proficiency with cloud platforms (e.g., AWS, GCP, Azure) and containerization (Docker, Kubernetes). Depop is the community-powered fashion marketplace to buy and sell circular fashion, with over 30 million registered users in more than 150 countries. Depop is a place for anyone to discover and celebrate their style on their own terms, and to feel good about their fashion choices by extending the lives of millions of garments. The company was founded in 2011 and is headquartered in London with offices in Manchester and New York. Depop has approximately 400 employees dedicated to its mission of building the world’s most diverse progressive home of fashion, that’s kinder on the planet and kinder to people. In 2021, Depop became a wholly-owned subsidiary of Etsy – the global marketplace for unique and creative goods – and continues to operate as a standalone company. Keep up to date Want to learn more about life at Depop? We share life at Depop updates on our LinkedIn page, and you can also keep an eye on all our job opportunities on our careers page. #J-18808-Ljbffr