Machine Learning Scientist

DEPOP; London; On-site; GBP 55,000 - 75,000; Full time

Job summary

A leading company seeks a Machine Learning Scientist to advance its app through innovative ranking models. The role involves crafting machine learning solutions, conducting experiments, and collaborating across teams to enhance user experience. Enjoy perks like a flexible hybrid model, wellness programs, and competitive parental leave policies.

Benefits

Health + Mental Wellbeing PMI

Cycle to Work scheme

Flexible Working

Paid parental leave

Life Insurance

Pension matching

Budgets for conferences

Fully paid 4-week sabbatical

Qualifications

• Experience as a Machine Learning Scientist solving industry-scale problems.
• Solid understanding of machine learning concepts and common frameworks.

Responsibilities

• Design and deliver machine learning solutions for various business problems.
• Conduct large-scale experiments and test hypotheses.
• Collaborate with cross-functional teams and present findings.

Skills

Machine Learning

Python

Data Engineering

MLOps

Collaboration

Tools

PyTorch

TensorFlow

Databricks

PySpark

AWS

Job description

Role

Depop is looking for a dedicated Machine Learning Scientist to join our new Core ML team in the UK. You will work alongside a cross-functional team of Product Managers, ML Engineers, and fellow ML Scientists, helping build and maintain foundational machine learning models and infrastructure, such as product matching models, image embedding services, and lightweight classifiers, that support multiple product and marketing use cases across Depop.

Responsibilities

• Research, design, and deliver 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.
• Understand requirements from various stakeholders across the business, designing general-purpose machine learning solutions to power features like content understanding, moderation, and personalization.
• Set up and conduct large-scale experiments to test hypotheses and drive model and product improvements.
• Keep up to date with research, contribute to internal knowledge sharing and ML best practices, and help the team stay informed about new techniques and approaches relevant to our work.
• Participate in team ceremonies, such as agile cadences, technical whiteboarding sessions, and planning/roadmapping.
• Report and present technical findings to technical and non-technical audiences.

Qualifications

Skills and Experience

• Experience working as a Machine Learning Scientist, with a track record of delivering models to solve industry-scale problems.
• Solid understanding of machine learning concepts, familiarity with frameworks such as Transformers, PyTorch or TensorFlow.
• Proficiency in Python, with the ability to write production-grade code and a good understanding of data engineering & MLOps.
• Collaborative and humble team player with an ability to work with cross-functional teams, including technical and non-technical stakeholders.
• Passion for learning new skills and staying up-to-date with ML algorithms.

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, Employee Assistance Programme (EAP), Mental Health First Aiders.

Work/Life Balance: 25 days annual leave, impact hours, sabbatical after 5 years, flexible hybrid working, dog-friendly offices, work abroad options.

Family Life: Paid parental leave, IVF leave, shared parental leave, emergency parent/carer leave.

Learn + Grow: Conference budgets, mentorship, upskilling programs.

Your Future: Life insurance, pension matching.

Depop Extras: Free shipping on UK sales, milestone rewards.