Machine Learning Manager, Operations

ABOUT THE ROLE We're seeking an experienced Machine Learning Manager to lead our Operations Machine Learning team at Monzo. As a key member of our team, you'll be responsible for shaping the ML strategy for Workforce Management, designing and delivering production ML systems, and coaching and developing Machine Learning Scientists. WHAT YOU'LL DO As a Machine Learning Manager, you'll play a crucial role in: - Shaping the ML strategy for Workforce Management, identifying areas where ML, forecasting, and optimisation can have the biggest impact for customers and human agents. - Leading the design, build, and delivery of production ML systems across forecasting, routing, assignment, escalation, and time-to-completion prediction. - Staying close to technical details, helping the team frame problems well, choose the right modelling approach, define robust validation, review trade-offs, and ship safely. - Collaborating with Product, Engineering, Data, and Operations leaders to turn ambiguous operational problems into pragmatic, iterative ML systems that improve real customer outcomes. - Coaching and developing Machine Learning Scientists through regular 1:1s, feedback, and technical guidance. - Creating healthy ways of working for the team, including clear priorities, strong technical standards, good documentation, sensible monitoring, and space for people to do their best work. - Contributing to the wider Machine Learning discipline at Monzo, helping us scale how we build, ship, and operate ML systems in production. WHAT YOU'LL NEED - A strong background in Machine Learning, statistics, forecasting, optimisation, or operations research, with experience in applying these skills to messy real-world problems. - Experience building, shipping, or owning ML systems in production, with a deep understanding of what it takes to make models useful, reliable, monitored, and safe. - Excellent communication skills, with the ability to explain complex ML ideas clearly to technical and non-technical people. - Coaching and leadership experience, with a passion for developing others and creating a positive team culture. - Adaptability, curiosity, and a love for quantitative problems. WHY REMOTE As a remote employee, you'll have the flexibility to work from anywhere, while still being part of a dynamic and collaborative team. You'll have the opportunity to work on complex ML problems, collaborate with experts from various fields, and contribute to the growth and success of Monzo. BENEFITS - Competitive salary: £113,200 - £145,200 + Incentive Awards tied to your performance. - Equity in Monzo. - A range of benefits, including flexible working hours, parental leave, and education stipend.