With our hot coral cards and get-paid-early feature combined with financial education on social media and our award winning customer service we have a long history of creating magical moments for our customers!
Were not about selling products - we want to solve problems and change lives through Monzo
London/Cardiff/UK Remote 115000 - 150000 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 arent 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 youll build and ship models that help customers search for and find answers about their financial lives. Youll make it effortless for them to find the right products at the exact moment they need them.
Whether its 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 youll be working on:
As a Lead Machine Learning Scientist youll be a technical leader and individual contributor. We have a modern cloud-native data platform with billions of rows of data built for fast iterations. Youll leverage your deep expertise to develop and deploy advanced ML models to our more than 15 million customers.
Your work may involve user and product embeddings to better understand customer behaviours contextual bandits for optimising real-time decisions or personalised ranking algorithms that improve search and discovery. Youll also build scalable explainable and responsible AI solutions that enhance trust transparency and the overall customer experience.
The technical approaches you take to help solve customer problems will be very much in your hands and well strongly encourage and support experimentation and innovation. Well be expecting you to justify and demonstrate effectiveness along the way making sure the approach meets our business and customer needs.
You should apply if:
What were 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
Youre 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 withscikit-learn. You are comfortable using SQL and keen to learn Go lang which is used in many of our backend microservices
Youre 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
Youre excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain
Youre 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
Equal opportunities for everyone
Diversity and inclusion are a priority for us and were making sure we have lots of support for all of our people to grow at Monzo. At Monzo were embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report.
Were an equal opportunity employer. All applicants will be considered for employment without attention to age ethnicity religion sex sexual orientation gender identity family or parental status national origin or veteran neurodiversity or disability status.
If you have a preferred name please use it to apply. We dont need full or birth names at application stage
Required Experience:
IC
Were on a mission to make money work for everyone.Were waving goodbye to the complicated and confusing ways of traditional banking.After starting as a prepaid card our product offering has grown a lot in the last 10 years in the UK. As well aspersonal and business bank accounts we offer joint accou...
Were on a mission to make money work for everyone.
Were waving goodbye to the complicated and confusing ways of traditional banking.
With our hot coral cards and get-paid-early feature combined with financial education on social media and our award winning customer service we have a long history of creating magical moments for our customers!
Were not about selling products - we want to solve problems and change lives through Monzo
London/Cardiff/UK Remote 115000 - 150000 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 arent 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 youll build and ship models that help customers search for and find answers about their financial lives. Youll make it effortless for them to find the right products at the exact moment they need them.
Whether its 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 youll be working on:
As a Lead Machine Learning Scientist youll be a technical leader and individual contributor. We have a modern cloud-native data platform with billions of rows of data built for fast iterations. Youll leverage your deep expertise to develop and deploy advanced ML models to our more than 15 million customers.
Your work may involve user and product embeddings to better understand customer behaviours contextual bandits for optimising real-time decisions or personalised ranking algorithms that improve search and discovery. Youll also build scalable explainable and responsible AI solutions that enhance trust transparency and the overall customer experience.
The technical approaches you take to help solve customer problems will be very much in your hands and well strongly encourage and support experimentation and innovation. Well be expecting you to justify and demonstrate effectiveness along the way making sure the approach meets our business and customer needs.
You should apply if:
What were 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
Youre 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 withscikit-learn. You are comfortable using SQL and keen to learn Go lang which is used in many of our backend microservices
Youre 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
Youre excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain
Youre 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
Equal opportunities for everyone
Diversity and inclusion are a priority for us and were making sure we have lots of support for all of our people to grow at Monzo. At Monzo were embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report.
Were an equal opportunity employer. All applicants will be considered for employment without attention to age ethnicity religion sex sexual orientation gender identity family or parental status national origin or veteran neurodiversity or disability status.
If you have a preferred name please use it to apply. We dont need full or birth names at application stage