Lead Machine Learning Scientist, Search
monzo • Cardiff, London or Remote (UK)
Posted: July 8, 2026
Job Description
📍London/Cardiff/UK Remote | 💰 £115,000 - £150,000 + Incentive Awards tied to your performance + Benefits ✨
About our Machine Learning Search Team
We are currently embarking on one of our two top strategic priorities to make Money work for Everyone: building the Monzo Co-pilot. We are becoming an intelligent, proactive ally that handles the complexity of users financial life. We aren't just selling financial products; we are building a truly smart agent that understands users, anticipates their needs, and helps people reach their financial goals.
Our ML Search team brings together Backend, Product, Machine Learning Scientists and Data Scientists. As a Lead Machine Learning Scientist, you’ll build and ship models that help customers search for and find answers about their financial lives. You'll make it effortless for them to find the right products at the exact moment they need them.
Whether it’s surfacing the right savings product at the perfect moment, helping customers manage their spending, or simplifying financial planning, our work makes banking smarter, more intuitive, and truly customer-first.
What you’ll be working on:
You should apply if:
What we’re doing here at Monzo excites you!
- You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems preferably in a fast moving tech company
- You have experience developing and shipping state of the art ML models to production and delivering business impact
- You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production
- You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
- You speak Python fluently and have extensive, hands-on experience with
scikit-learn. You are comfortable using SQL, and keen to learn Go lang which is used in many of our backend microservices - You’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity
- You want to be involved in building a product that you (and the people you know) use every day
- You have a product mindset: you care about customer outcomes and you want to make data-informed decisions
- You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain
- You’re adaptable, curious and enjoy learning new technologies and ideas
Nice to haves:
- Experience working on personalisation, ranking & recommendation problems for consumer applications
- Commercial experience writing critical production code and working with microservices
The interview process:
Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!
- 30 minute recruiter call
- 45 minute call with hiring manager
- 60 minute ML Modelling interview
- 60 minute Product & ML interview
- 60 minute behavioural interview
Our average process takes around 3-4 weeks but we will always work around your availability.
#LI-REMOTE #LI-SR1
Additional Content
📍London/Cardiff/UK Remote | 💰 £115,000 - £150,000 + Incentive Awards tied to your performance + Benefits ✨
About our Machine Learning Search Team
We are currently embarking on one of our two top strategic priorities to make Money work for Everyone: building the Monzo Co-pilot. We are becoming an intelligent, proactive ally that handles the complexity of users financial life. We aren't just selling financial products; we are building a truly smart agent that understands users, anticipates their needs, and helps people reach their financial goals.
Our ML Search team brings together Backend, Product, Machine Learning Scientists and Data Scientists. As a Lead Machine Learning Scientist, you’ll build and ship models that help customers search for and find answers about their financial lives. You'll make it effortless for them to find the right products at the exact moment they need them.
Whether it’s surfacing the right savings product at the perfect moment, helping customers manage their spending, or simplifying financial planning, our work makes banking smarter, more intuitive, and truly customer-first.
What you’ll be working on:
You should apply if:
What we’re doing here at Monzo excites you!
- You have a multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems preferably in a fast moving tech company
- You have experience developing and shipping state of the art ML models to production and delivering business impact
- You're impact driven and excited to own the end to end journey that starts with a business problem and ends with your solution having a measurable impact in production
- You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
- You speak Python fluently and have extensive, hands-on experience with
scikit-learn. You are comfortable using SQL, and keen to learn Go lang which is used in many of our backend microservices - You’re comfortable working in a team that deals with ambiguity and have experience helping your team and stakeholders resolve that ambiguity
- You want to be involved in building a product that you (and the people you know) use every day
- You have a product mindset: you care about customer outcomes and you want to make data-informed decisions
- You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain
- You’re adaptable, curious and enjoy learning new technologies and ideas
Nice to haves:
- Experience working on personalisation, ranking & recommendation problems for consumer applications
- Commercial experience writing critical production code and working with microservices
The interview process:
Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions!
- 30 minute recruiter call
- 45 minute call with hiring manager
- 60 minute ML Modelling interview
- 60 minute Product & ML interview
- 60 minute behavioural interview
Our average process takes around 3-4 weeks but we will always work around your availability.
#LI-REMOTE #LI-SR1