Offer summary

Qualifications:

Strong programming skills in Python and experience with ML libraries like TensorFlow, PyTorch, and Scikit-learn., Experience working with ML training and inference platforms such as Databricks, SageMaker, and Seldon., Proficiency with cloud platforms (AWS, GCP, Azure) and containerization tools like Docker and Kubernetes., A proven track record of end-to-end project delivery, including design, implementation, and maintenance..

Key responsibilities:

Design, implement, and maintain tooling and platforms for ML model training, deployment, and monitoring.

Collaborate with ML Scientists and Backend Engineers to maximize the value of ML solutions.

Ensure operational excellence through testing, monitoring, and managing production ML models.

Support continuous improvement and innovation within the engineering team.

Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable, affordable secondhand fashion. Together with its community of approximately 35 million registered users, Depop is on a mission to make fashion circular - encouraging more people to choose secondhand and extend the lives of their clothes, redefining fashion consumption. The company was founded in 2011 and is headquartered in London, with offices in New York and Manchester and a team of approximately 400 employees. 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. 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.

Company Description

Depop is the communitypowered 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 whollyowned 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 nondisability related questions, please reach out to our Talent Partners.

At Depop, machine learning is integral to our value proposition. We are looking for an MLOps Engineer to help levelup 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 selfserve 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