Senior Machine Learning Scientist - Core ml
DEPOP
- London, England, United Kingdom
- London, England, United Kingdom
Über
As a senior member of the team, you will be expected to take ownership of high-impact projects, lead technical direction on core modelling efforts, and mentor others while working across multiple domains and stakeholders.
Responsibilities
Research, design, and deliver robust machine learning solutions to solve cross-cutting problems within the fashion resale space
Work with and fine-tune models for representation learning, computer vision, and classification, and lead efforts to productionise and scale them
Identify and define requirements from multiple stakeholders across the business, and lead the design of general-purpose machine learning solutions that power features like content understanding, moderation, and personalisation
Set up and conduct large-scale experiments to test hypotheses and guide model and product improvements, ensuring statistical rigour and real-world applicability
Stay up to date with research, actively contribute to internal knowledge sharing and ML best practices, and help shape the long-term technical strategy for the team
Participate in team ceremonies, such as agile cadences, technical whiteboarding sessions, and planning/roadmapping
Communicate technical findings clearly and confidently to both technical and non-technical audiences, including senior stakeholders
Qualifications Skills and Experience
Significant experience working as a Machine Learning Scientist, with a proven track record of delivering and scaling models that solve complex, real-world problems
Deep understanding of machine learning concepts and experience applying them in production settings, using frameworks such as Transformers, PyTorch, or TensorFlow
Strong Python skills, with the ability to write clean, modular, production-grade code, and a solid understanding of data engineering and MLOps principles
Ability to lead end-to-end ML projects, work independently in ambiguous problem spaces, and mentor junior team members
Strong collaboration and communication skills, with experience aligning technical approaches with cross-functional teams and stakeholders
Bonus Points
Experience with NLP, image classifiers, deep learning, or large language models
Experience with experiment design and conducting A/B tests
Experience building shared or platform-style ML systems
Experience with Databricks and PySpark
Experience working with AWS or another cloud platform (GCP/Azure)
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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Sprachkenntnisse
- English
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