Machine Learning Tech Lead

Monzo Bank; Greater London; Remote; GBP 30,000 - 50,000; Full time

Benefits offered by this job

Visa sponsorship

Relocation assistance

Annual learning budget

Home-working support

Flexible working hours

Job summary

Monzo Bank is seeking a senior ML leader to shape the ML strategy for Workforce Management and to drive production ML systems across forecasting, routing and task completion prediction. You will collaborate with Product, Engineering, Data, and Operations to translate ambiguous operational problems into practical ML solutions that improve customer outcomes.

You will coach and develop ML Scientists, maintain high technical standards, and help scale ML practices across production systems in a

Qualifications

• Hands-on ML practitioner with senior IC/tech lead/ML manager experience.
• Strong foundations in ML, statistics, forecasting, optimisation, OR.
• Experience shipping ML systems in production and ensuring reliability and safety.

Responsibilities

• Shape the ML strategy for Workforce Management to impact customers and agents.
• Lead design, build and delivery of production ML systems across forecasting, routing, assignment, escalation and time-to-completion prediction.
• Frame problems, choose modelling approaches, define validation, review trade-offs and ship safely.

Skills

Hands-on ML practitioner

ML systems in production

Explain ML to business

Coaching/people management

Ambiguous problem solving

Customer outcomes focus

Tools

Python

Forecasting

Job description

Salary: £30,000 - 50,000 per year

Requirements

• We have recently worked as a hands-on Machine Learning practitioner, for example as a Senior IC, Tech Lead, Team Lead or ML manager.
• We have strong foundations in ML, statistics, forecasting, optimisation or operations research, and enjoy applying them to messy real-world problems.
• We have built, shipped or owned ML systems in production, and understand what it takes to make models useful, reliable, monitored and safe.
• We can move between technical detail and business context, explaining complex ML ideas clearly to technical and non-technical people.
• Coaching others is something we enjoy and take seriously; we may already have people management experience, but the role is also open to people taking their first formal step into management.
• We are energised by ambiguous problem spaces and are comfortable combining models, algorithms, product changes and operational processes.
• We care about customer outcomes and want to build systems that help people get answers to their problems quickly and efficiently.
• We are adaptable, curious and excited by quantitative problems.

Responsibilities

• We will shape the ML strategy for Workforce Management, deciding where ML, forecasting and optimisation can have the biggest impact for customers and human agents.
• We will lead the design, build and delivery of production ML systems across forecasting, routing, assignment, escalation and time-to-completion prediction.
• We will stay close to the technical details by helping the team frame problems well, choose the right modelling approach, define robust validation, review trade-offs and ship safely.
• We will work with Product, Engineering, Data and Operations leaders to turn ambiguous operational problems into pragmatic, iterative ML systems that improve real customer outcomes.
• We will coach and develop Machine Learning Scientists through regular 1:1s, feedback and technical guidance.
• We will create 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.
• We will contribute to the wider Machine Learning discipline by helping scale how we build, ship and operate ML systems in production.

Technologies

• Support
• Machine Learning
• AI
• Backend
• Embedded
• Mobile
• Web

More

Were Monzo, and our mission is to make money work for everyone by replacing confusing traditional banking with simpler, more helpful products. Our UK offering includes personal and business bank accounts, joint accounts, accounts for 16-17 year olds, a free kids account and credit cards, plus savings, investing and pensions. Our hot coral cards, get-paid-early feature, financial education on social media and award-winning customer service help us create magical moments for our customers. The role sits in our Operations Machine Learning team, working on systems that support fast, efficient and resilient customer support at scale. The role can be based in London, Cardiff or remotely within the UK with ad hoc meetings in London. We offer a salary of £113,200 - £145,200, incentive awards tied to performance, benefits, flexible working hours, visa sponsorship and relocation support, a £1,000 annual learning budget, and equipment and home-working support.

last updated 40 week of 2026