Назад
1 день назад

Manager, Machine Learning Engineering, Checkout (Machine Learning)

142 000 - 190 000GBP
Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
UK/Poland/Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Manager, Machine Learning Engineering, Checkout (Machine Learning): Leading a team building machine learning models for credit lending decisions across Europe and Australia with an accent on repayment prediction, loan offer optimization, and advanced ML techniques. Focus on setting technical strategy, scaling underwriting solutions, mentoring engineers, and solving complex architecture and ambiguity challenges.

Location: Remote UK; other locations include Remote Poland and Remote Spain.

Base pay range per year: £142,000–£190,000.

Company

Affirm provides predictable payment-over-time solutions and develops financial products for borrowers.

What you will do

  • Lead a team of machine learning engineers building models that support credit lending decisions across Europe and Australia.
  • Set the team’s technical strategy and connect engineering work to business-critical underwriting projects.
  • Design, implement, and scale advanced machine learning solutions using novel techniques and rich data representations.
  • Partner with engineering, product, design, analytics, and risk teams throughout the product development lifecycle.
  • Clarify technical risks and trade-offs, establish sustainable operational processes, and contribute to the long-term machine learning strategy.
  • Develop engineers through feedback, guidance, mentoring, and hands-on technical leadership.

Requirements

  • Bachelor’s degree in a technical field and 8+ years of industry experience, including 3+ years managing engineers.
  • Background in financial services, specifically credit or lending.
  • Proficiency in machine learning, including tree-based models, transformers, deep learning, and agentic ML.
  • Strong engineering skills and the ability to provide hands-on technical leadership across code and architecture.
  • Comfort working through ambiguity, from low-level language idioms to the architecture of large systems.

Culture & Benefits

  • Remote-first work with flexibility within the country of employment; occasional office work may be required for some positions.
  • In-person onboarding is provided for all new hires.
  • Medical coverage, including 100% subsidized coverage for employees and dependents, plus dental and vision benefits.
  • Monthly stipends for technology, health, and wellness expenses.
  • Flexible time off, generous holiday calendars, and an employee stock purchase plan.
  • Inclusive interview process with accommodations available for candidates with disabilities.

Hiring process

  • Affirm provides an inclusive interview process and candidate accommodations when needed.

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