Back to list

Vacancy description

Manager, Machine Learning Engineering, Checkout in United Kingdom

Affirm

  • RemoteWork from anywhere
  • HybridMix of office and remote
  • On-siteWork from the office
  • Full-timeStandard weekly hours
  • ContractFixed-term or freelance

£142k - £190k per annum

United Kingdom

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. 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. What you'll do - 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. 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. - 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 Compensation & Benefits Base Pay Grade - P Equity Grade - 7 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. 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 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: - Health coverage at no cost: We cover 100% of premiums for employees and their dependents. - Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. - Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. - Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.

Similar vacancies

More like this role

  • Hybrid
  • On-site
  • Contract
  • Marketing
... full lifecycle from idea to production, and work closely with colleagues across the business to grow the impact of ML and AI at Trainline. We’re looking for a Machine Learning Engineering Manager to lead a team of 7 ML engineers and data engineers within our Core Experience pillar, which covers Search, Supply and Commerce. ...

London, United Kingdom

  • Remote
  • Full-time
  • Contract
... how ML engineers use AI tools in their day-to-day work, and help the team realise real productivity gains. Partner with product, design, research and other engineering leaders across Spotify to align priorities and context. Who You Are You have deep machine learning expertise and Staff-level technical judgement, and you're ...

United Kingdom

  • Remote
  • Full-time
... project deadlines. Requirements - Master's degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. - Strong professional or research experience in machine learning and practical ML engineering. - Strong Python ...

United Kingdom

  • Hybrid
  • On-site
  • Full-time
Hybrid - London, England, United Kingdom · Manchester, England, United Kingdom JOB TITLE: Machine Learning & AI Engineering Lead LOCATION: London, or Manchester HOURS: Full-time – 35 hours WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office ...

London, United Kingdom

  • Contract
... robustness, and experimentation. - Experience delivering end-to-end machine learning solutions, from problem definition and data preparation through feature engineering, modelling, evaluation, and production integration. - Experience managing and developing data scientists or machine learning engineers, including recruiting, ...

London, United Kingdom

  • Remote
  • Hybrid
Задачи: Lead and develop a London-based team of Senior Machine Learning Engineers while remaining deeply engaged in technical direction. Set the architecture for robust, scalable offline scene-understanding and measurement models. Translate ambiguous business goals into sprint, quarterly, annual, and multi-year technical ...

London, United Kingdom

  • Remote
  • Full-time
... in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Why the Cohere TPM role? As our Generative Machine Learning organization has continued growing, we are looking for more Technical Program Managers to join the team! At Cohere, TPMs are pivotal to our success, ...

United Kingdom

  • Part-time
  • AI / ML
... start-ups to design and deliver solutions which address critical healthcare challenges, and help to democratise health for all. About the role Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients. You will be instrumental in bringing machine learning out of the lab and ...

London, United Kingdom

  • AI / ML
... and performance metrics - Contributing to engineering best practices, MLOps tooling and shared machine learning platform capabilities - Helping to improve how machine learning is developed, deployed and operated across the organisation Qualifications About You We're keen to hear from Machine Learning Engineers who enjoy solving ...

London, United Kingdom

  • Hybrid
  • On-site
  • Contract
  • AI / ML
... support better, faster decision-making in demanding real-world environments. What makes the work distinctive is the combination of technical depth, practical engineering and responsible delivery. This is an opportunity to innovate at the forefront of applied machine learning, tackle high-impact real-world problems, grow your ...

Oxford, United Kingdom