Manager, Machine Learning Engineering (Repayment & Recovery)

Das ist der Job

In this role, you will help shape the future of machine learning at affirm.

Darum lohnt es sich

In this role you will manage a team of ML engineers that build models powering the post‑origination side of the credit lifecycle, using novel ML techniques and rich data representations to predict repayment behaviour, prioritise and personalise collections, and minimise loss after a loan is originated.

What you’ll do Set the technical strategy for your team and help your engineers tie it together with critical, business‑impacting projects across repayment, collections, recovery, and loss mitigation.

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.

Base Pay Grade - P Equity Grade - 7 Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidised medical coverage, dental and vision for you and your dependents).

Base pay range per year: £142,000 - £190,000 Location: UK Remote We’re incredibly proud to offer competitive benefits that are anchored to our core value of people coming first. Some key highlights of our benefits package include: Health care coverage – affirm covers all premiums for all levels of coverage for you and your dependents.

Manager, Machine Learning Engineering (Repayment & Recovery) Affirm Remote - £142,000 - £190,000 per year - Posted June 23, 2026 Join affirm as a Machine Learning Engineering Manager and become a pivotal part of our Repayment & Recovery machine learning group.

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.

This role is based in Europe, with openness to candidates in the UK, Poland, or Spain. Act as a force‑multiplier through your definition and advocacy of technical solutions and operational processes. Develop talent by providing feedback and guidance, and leading by example.

What we look for Bachelor’s in a technical field with 8+ years of industry experience, including 3+ years managing engineers. A background in financial services, specifically in credit/lending, with hands‑on experience in post‑origination modeling – collections, repayment, recovery, loss mitigation, early‑warning or behavioural risk, or similar.

Proficiency in machine learning with experience in areas including tree‑based models, transformers, deep learning, and agentic ML. Strong engineering skills and the ability to provide hands‑on technical leadership while working with our code and architecture.

You 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 work. This position requires either equivalent practical experience or a Bachelor’s degree in a related field.

Flexible spending wallets – generous stipends for food, technology, lifestyle needs, and family‑forming expenses. Time off – competitive vacation and holiday schedules allowing you to take time off to rest and recharge. ESPP – an employee stock purchase plan enabling you to buy shares of affirm at a discount.

We believe it’s on us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. #J-18808-Ljbffr