Manager of Machine Learning Engineering (Checkout)

Affirm; Greater London; Remote; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Remote-first compensation structure

Wallets for tech, food, lifestyle, and

Family planning wallet

Remote-first workforce

Generous time off

Health benefits

Mental healthcare programs

Parental leave: 18 weeks paid + 4-week

Away days: 20 company-wide days off

Learning & Development

Job summary

Affirm, Inc. is seeking a Machine Learning Engineering Manager to lead a team of ML engineers building models powering credit lending decisions across Europe and Australia.

You will partner with product, engineering, and risk leaders to design, implement, and scale advanced ML solutions, mentor engineers, and shape the long-term ML strategy for the company.

Qualifications

• Must have strong track record in ML engineering and leading teams.
• Experience with large-scale ML systems and production deployment.
• Background in financial services, especially credit/lending, is advantageous.

Responsibilities

• Lead and mentor a team of ML engineers building credit models across Europe and Australia.
• Set and drive the technical strategy for the team and align with underwriting systems.
• Collaborate with product, engineering, and risk to design scalable ML solutions.
• Provide hands-on technical leadership while delivering architecture-level decisions.

Skills

Tree-based models

Transformers

Deep learning

Agentic ML

Technical leadership

Credit lending domain

Education

Bachelor's degree in a technical field

Job description

• Join affirm as a Machine Learning Engineering Manager and become a pivotal part of our International Credit Machine Learning group. Specifically, you will manage a team of ML engineers that builds the models powering credit lending decisions in countries across Europe and in Australia. You will lead your team in using novel ML techniques and rich data representations to predict repayment behavior and optimize how we offer loans to our borrowers
• In this role, you will help shape the future of machine learning at affirm. You'll partner with engineering, product, and risk leaders to design, implement, and scale advanced ML solutions that drive critical capabilities across the company. You will mentor engineers, bring clarity to complex, ambiguous problems, and contribute to a cohesive long-term ML strategy
• Set the technical strategy for your team, and help your engineers tie it together with critical, business-impacting projects in our underwriting system
• Act as a force multiplier through your definition and advocacy of technical solutions and operational processes
• Collaborate across teams in the product development lifecycle by partnering with product management, design, analytics, and risk to ensure technical sustainability, risks and trade-offs are well understood and managed
• Develop talent by providing feedback and guidance, and leading by example

Benefits

• Compensation: We have a simple, flexible, and transparent remote-first compensation structure so you can make the best decisions for yourself and your family
• Spending Wallets: Access tech, food, lifestyle, and family planning wallets for your expenses
• Supportive Communities: Get involved with our employee resource groups and community groups
• Remote-first Workforce: If your role is remote, you can set up shop anywhere in your home country
• Generous Time Off: Take the time you need when life happens
• Health Benefits: Get a plan that fits your needs
• Mental Healthcare: Take care of your mind with great mental health programs
• Parental Leave: Birth and non-birth parents get 18 weeks' paid leave. Plus, a 4-week return-to-work transition program, at full base pay
• Away Days: We offer 20 company-wide paid days off-that help our teams collectively pause to recharge
• Learning & Development: Engage in exciting learning programs to level up your growth

Proficiency in machine learning with experience in areas including tree-based models, transformers, deep learning, and agentic MLYou thrive in ambiguity, and are comfortable moving from low-level language idioms all the way to the architecture of large systems to understand how they workBachelor's in a technical field with 8+ years of industry experience, including 3+ years managing engineersStrong engineering skills and the ability to provide hands-on technical leadership while working with our code and architectureA background in financial services, specifically in credit / lending