Machine Learning Scientist

DEPOP; Greater London; Hybrid; GBP 55,000 - 75,000; Full time

Job summary

A prominent online marketplace in the UK is seeking a Machine Learning Scientist to help build advanced ranking models for their app, impacting millions daily. The role entails designing machine learning solutions, conducting experiments, and collaborating with various teams. Ideal candidates will have experience in machine learning models, strong Python skills, and an eagerness to learn. This position offers hybrid working and several wellness benefits, making it a great opportunity for those looking to advance their career in a dynamic environment.

Benefits

Health + Mental Wellbeing PMI

25 days annual leave

Flexible Working Options

Life insurance

Cycle to Work scheme

Qualifications

• Experience working as a Machine Learning Scientist, delivering models for industry-scale problems.
• Solid understanding of machine learning concepts and frameworks.
• Ability to write production-grade Python code and understand data engineering & MLOps.

Responsibilities

• Research, design and deliver machine learning solutions.
• Understand business requirements and design solutions.
• Conduct large-scale experiments to test hypotheses.

Skills

Machine Learning

Python

Collaboration

Data Engineering

MLOps

Tools

PyTorch

TensorFlow

AWS

Databricks

PySpark

Job description

Role

At Depop, machine learning is integral to our value proposition. As a Machine Learning Scientist, you will work on building state‑of‑the‑art ranking models to power Depop's app, serving millions of personalised results to users daily.

Responsibilities

• Research, design and deliver machine learning solutions to tackle problems
• Understand requirements from various stakeholders across the business, designing machine learning solutions to solve business problems
• Set up and conduct large‑scale experiments to test hypotheses and drive product development
• Keep up to date with state‑of‑the‑art research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc.
• Participate in team ceremonies (follow the agile cadence, technical white‑boarding sessions, product road mapping, etc.)
• Report and present technical findings to technical and non‑technical audiences

Qualifications

• 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 working with common 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 working on learning‑to‑rank, search or recommendation models
• Experience with deep learning & large language models
• Experience with experiment design and conducting A/B tests
• 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‑dependent); 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.