Senior Machine Learning Engineer

Etsy; London; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

Etsy is seeking a Senior Machine Learning Engineer to join the Depop team in London. In this role, you will design, implement, and maintain machine learning infrastructure while collaborating with scientists and engineers. This position requires expertise in ML pipelines and tooling, excellent communication skills, and the ability to work independently, making it a pivotal role in enhancing ML capabilities within the company.

Benefits

Health and Mental Wellbeing Programs

Flexible Working Options

25 Days Annual Leave

Paid Parental Leave

Learning Budgets

Life Insurance

Cycle to Work Scheme

Qualifications

• Proven track record of building and deploying ML pipelines.
• Strong ownership mindset and ability to work independently.
• Excellent communication skills across technical and non-technical stakeholders.

Responsibilities

• Design and implement pipelines for training, deploying, and monitoring ML models.
• Collaborate with ML Scientists and backend teams.
• Contribute to ML engineering culture for scalability and collaboration.

Skills

Machine Learning Pipelines

ML Tooling

Python

Cloud Environments

Communication Skills

Tools

SageMaker

TensorFlow

PyTorch

AWS

Job description

Senior Machine Learning Engineer page is loaded

Senior Machine Learning Engineer

Apply remote type Open to Remote locations London, UK time type Full time posted on Posted 10 Days Ago job requisition id JR4918

Company Description

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 [e-mail] . For any other non-disability related questions, please reach out to our Talent Partners.

Role

Depop is looking for a dedicated Machine Learning Engineer to join our new Core ML team in the UK. You will work alongside ML Scientists, Backend Engineers, and MLOps to build, deploy, maintain, and monitor machine learning infrastructure, such as product matching pipelines, image embedding services, and lightweight classifier deployments, that support multiple product and marketing use cases across Depop.

Responsibilities

You will:

• Design and implement pipelines for training, deploying, and monitoring real-time and batch ML models

• Work closely with ML Scientists to productionise models and improve reliability, latency, and observability

• Partner with backend and product teams across Depop to define integration requirements and coordinate deployments of shared ML components

• Help design and extend the ML platform at Depop in collaboration with the MLOps team, across areas such as:

  • Robust prototyping and training workflows

  • CI/CD for model deployment

  • Real-time and batch model serving

  • Online/offline feature consistency via our feature store

  • Monitoring and alerting

• Hold high standards for operational excellence, including testing, monitoring, maintainability, and incident response

• Contribute to a strong ML engineering culture focused on scalability, collaboration, and continuous learning

Required Skills and Experience

• Proven track record of building and deploying ML pipelines and contributing to ML platform tooling

• Solid understanding of ML workflows and experience supporting scientists through to production

• Strong ownership mindset and ability to work independently

• Excellent communication skills across technical and non-technical stakeholders

• Experience designing systems in modern cloud environments (e.g. AWS, GCP)

Technologies and Tools

• 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 and related developer tooling

• CI/CD tools and best practices

• Streaming and batch data systems (e.g. Kafka, Airflow, RabbitMQ)

Additional Information

Health + Mental Wellbeing

• PMI and cash plan healthcare access with Bupa

• Subsidised counselling and coaching with Self Space

• Cycle to Work scheme with options from Evans or the Green Commute Initiative

• Employee Assistance Programme (EAP) for 24/7 confidential support

• Mental Health First Aiders across the business for support and signposting

Work/Life Balance:

• 25 days annual leave with option to carry over up to 5 days

• 1 company-wide day off per quarter

• Impact hours: Up to 2 days additional paid leave per year for volunteering

• Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love.

• Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options *role dependant

• All offices are dog-friendly

• Ability to work abroad for 4 weeks per year in UK tax treaty countries

Family Life:

• 18 weeks of paid parental leave for full-time regular employees

• IVF leave, shared parental leave, and paid emergency parent/carer leave

Learn + Grow:

• Budgets for conferences, learning subscriptions, and more

• Mentorship and programmes to upskill employees

Your Future:

• Life Insurance (financial compensation of 3x your salary)

• Pension matching up to 6% of qualifying earnings

Depop Extras:

• Employees enjoy free shipping on their Depop sales within the UK.

• Special milestones are celebrated with gifts and rewards!

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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

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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.