Lead Machine Learning Scientist, Search
- Level
- Lead
- Work type
- Remote ¡ UK only
- Visa
- Sponsors visas
Not stated in the posting: salary.
Open. First seen 20 September 2026.
About the role
Monzo's standard text
đ Weâre on a mission to make money work for everyone.
Weâre 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 as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us.
Monzo's standard text
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!
Weâre not about selling products - we want to solve problems and change lives through Monzo â¤ď¸
đLondon/Cardiff/UK Remote | đ° ÂŁ115,000 - ÂŁ150,000 + Incentive Awards tied to your performance + Benefits â¨
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, youâll 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 itâs 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 youâll be working on:
As a Lead Machine Learning Scientist, you'll 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. You'll 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. You'll 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 weâll strongly encourage and support experimentation and innovation. Weâll 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 weâre 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
- Youâre 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
- Youâre 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
Full Loop: ML Modelling Interview, Product & ML interview, Behavioural Interview, Leadership interview
Monzo's standard text
Our average process takes around 3-4 weeks but we will always work around your availability.
Whatâs in it for you:
âď¸ We can help you relocate to the UK
Monzo's standard text
â We can sponsor visas
đThis role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).
â° We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.
đLearning budget of ÂŁ1,000 a year for training courses and conferences
âAnd much more, see our full list of benefits here
If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance
#LI-REMOTE #LI-SR1
Equal opportunities for everyone
Diversity and inclusion are a priority for us and weâre making sure we have lots of support for all of our people to grow at Monzo. At Monzo, weâre 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.
Monzo's standard text
Weâre 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 don't need full or birth names at application stage đ
What this role asks for
Particular to this role
Microservices ¡ scikit-learn
Rare in Monzo's other 43 open postings.
Standard for data science / ML roles
Machine Learning ¡ Python ¡ SQL
Common in data science / ML postings at any company.
81% of this description is written for the role. The rest is Monzo's standard text, folded away below.
Read against Monzo's other open postings on this site.
The team: Data HIRES STEADILY
This role is one of 14 open in Data. 3 were posted in the last 30 days and the oldest in February: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
SQL (11 of 14), Machine Learning (10 of 14), Python (10 of 14), Looker (7 of 14), Golang (4 of 14), Microservices (4 of 14), Agile (3 of 14)
OTHER ROLES ON THIS TEAM
- Data Director, EU posted Oct 7
- Staff Data Scientist posted Sep 30
- Associate Data Scientist - Intern posted Sep 28
- Data Director, Payments posted Aug 21
- Lead Machine Learning Scientist, Business Banking posted Aug 11
- Lead Machine Learning Scientist, Customer Operations posted Aug 3
- Senior Data Scientist posted Jul 17
- Lead Machine Learning Scientist, FinCrime posted Jul 8
- Staff Analytics Engineer posted Jun 24
- Data Science Manager posted Aug 26
- Lead Data Scientist posted Nov 4
- Senior Data Scientist posted Aug 15
- Data Science Manager, Financial Crime posted Feb 29
From the team and dates on Monzo's own job board.
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