Manager, Machine Learning Engineering, Checkout

Role overview

Lead a machine learning engineering team building models that inform lending decisions across European markets and Australia. The team uses data and predictive methods to estimate repayment behavior and help determine how loans are offered. You’ll combine people leadership and hands-on technical direction, working with engineering, product, and risk partners to shape the team’s strategy and deliver underwriting capabilities.

Responsibilities

- Set the team’s technical direction and connect it to important underwriting projects. - Guide the design, implementation, and scaling of machine learning solutions. - Partner with product, design, analytics, risk, and engineering colleagues to assess technical sustainability, risks, and trade-offs. - Establish effective technical solutions and operational practices for the team. - Coach engineers through feedback and guidance, and contribute to their development. - Participate in the required on-call rotation.

Requirements

- A bachelor’s degree in a technical field. - At least 8 years of industry experience, including 3 or more years managing engineers. - Experience in financial services, particularly credit or lending. - Machine learning expertise, with experience in areas such as tree-based models, transformers, deep learning, or agentic machine learning. - Strong software engineering skills and the ability to provide hands-on technical leadership across code and architecture. - Comfort working through ambiguity, from low-level implementation details to the architecture of large systems.

Benefits and work setup

- Remote role for people based in Spain; visa sponsorship is available. - Annual base salary range of €103,000–€139,000. - Health coverage, spending allowances for technology and lifestyle needs, flexible time off, and wellness days. - Learning and development programs, parental benefits, and employee community groups.