Machine Learning Tech Lead

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. This 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. Our application process includes a recruiter call, initial call and full loop, and we aim to keep it flexible over around 3-4 weeks.

last updated 34 week of 2026