Associate Machine Learning Scientist

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

Job summary

A leading company in the tech industry is seeking an Associate Machine Learning Scientist to help develop innovative machine learning solutions. The role includes collaborating with cross-functional teams, designing experiments, and utilizing Python alongside ML frameworks. The ideal candidate will possess strong experience in developing ML models and thrive in a dynamic work environment. The company offers excellent perks, including flexible working, generous leave policies, and opportunities for personal growth.

Benefits

Health + Mental Wellbeing support

25 days annual leave

Flexible working options

Paid parental leave

Budget for conferences and subscriptions

Life insurance

Sabbatical after 5 years

Dog-friendly offices

Free shipping on UK sales

Qualifications

• Experience developing ML models as a Data Scientist or Machine Learning Scientist.
• Solid understanding of ML concepts and familiarity with related frameworks.
• Collaborative team player with a passion for learning.

Responsibilities

• Research and design machine learning solutions for pricing and product matching.
• Conduct large-scale experiments and contribute to product development.
• Present technical findings to diverse audiences.

Skills

Machine Learning

Python

Collaboration

Adaptability

Continuous Learning

Tools

TensorFlow

PyTorch

AWS

Databricks

PySpark

Job description

The Role:

Depop is looking for a dedicated Associate Machine Learning Scientist to join one of our teams.

You will work alongside a cross-functional team of Product Managers, Engineers, Analysts, and other Machine Learning Scientists, playing a key role in building machine learning models.

Responsibilities:

• Research, design, and deliver machine learning solutions to tackle problems within the pricing and product matching space.
• Understand requirements from various stakeholders across the business and design machine learning solutions to solve applied business problems.
• Design and conduct large-scale experiments to test hypotheses and drive product development.
• Keep up to date with applied research, contribute to knowledge sharing, and apply new techniques for prediction, information retrieval, text and image processing, causal inference, and optimization.
• Participate in team ceremonies (e.g., following the agile cadence, whiteboarding sessions, planning, and product roadmapping).
• Report and present technical findings to both technical and non-technical audiences.

Skills and Experience:

• Experience developing ML models to solve real-world problems, with a background as a Data Scientist or Machine Learning Scientist.
• Proficiency in Python.
• Solid understanding of machine learning concepts, with familiarity working with frameworks such as TensorFlow or PyTorch.
• Collaborative and humble team player capable of working with cross-functional teams, including technical and non-technical stakeholders.
• Passion for learning new skills and staying updated with applied ML developments.

Bonus Points:

• Experience with pricing models, causal inference, or revenue optimization.
• Experience with NLP, image processing, information retrieval, and deep learning models.
• Experience with experiment design and conducting A/B tests.
• Experience with Databricks and PySpark.
• Experience working with AWS or other cloud platforms (GCP/Azure).

Additional information

Health + Mental Wellbeing: PMI and cash plan healthcare access with Bupa, subsidized counselling and coaching with Self Space, Cycle to Work scheme options, Employee Assistance Programme (EAP), Mental Health First Aiders.

Work/Life Balance: 25 days annual leave, option to carry over up to 5 days, one company-wide day off per quarter, up to 2 days additional paid leave for volunteering, fully paid 4-week sabbatical after 5 years.

Flexible Working: MyMode hybrid 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 paid parental leave, IVF leave, shared parental leave, and paid emergency parent/carer leave.

Learn + Grow: Budget for conferences, subscriptions, mentorship programs.

Your Future: Life insurance (3x salary), pension matching up to 6%.

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