ML Ops Engineer
ML Ops Engineer
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Job Description
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 out more at
Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome no matter who they are or where theyre 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. Were 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. Were 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 . 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 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 teams 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 endtoend 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 Scikitlearn.
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)
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 companywide 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 hybridworking model with Flex Office Based and Remote options *role dependant
All offices are dogfriendly
Ability to work abroad for 4 weeks per year in UK tax treaty countries
Family Life:
18 weeks of paid parental leave for fulltime 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!
Employment Type
Full-Time
