--- title: 'Lead Machine Learning Scientist, Business Banking at Monzo' canonical: 'https://feeny.ai/job/lead-machine-learning-scientist-business-banking-monzo-cardiff-london-or-ap29kahrbgzb' type: 'job' last_seen: '2026-09-16' --- # Lead Machine Learning Scientist, Business Banking at Monzo - **Company:** Monzo - **Location:** Cardiff London OR, United Kingdom - **Work type:** remote - **Posted:** 2026-08-11 - **Last confirmed live:** 2026-09-16 - **Apply:** https://job-boards.greenhouse.io/monzo/jobs/8121191 ## Job description 🚀 We’re on a mission to make money work for everyone. We’re 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](https://monzo.com/current-account/personal) and [business](https://monzo.com/business-banking) bank accounts, we offer [joint accounts](https://monzo.com/current-account/joint-account), [accounts for 16-17 year olds](https://monzo.com/current-account/16-17), a [free kids account](https://monzo.com/current-account/under-16s) and [credit cards](https://monzo.com/flex) in the UK, with more exciting things to come beyond. Our UK customers can also [save](https://monzo.com/savings), [invest](https://monzo.com/investments)and [combine their pensions](https://monzo.com/pensions) with us. 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! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | 💰 £115,000 - £150,000 + Incentive Awards tied to your performance + [Benefits](https://monzo.com/careers/)  ✨ ## About our Machine Learning Business Banking team Our mission in Business Banking is to simplify banking for small businesses; making business banking fairer, simpler and more transparent. Monzo Business Banking is fast-growing, is the UK’s most recommended business account for overall service quality. We recently hit 1 million customers and are used by 1 in 6 UK SMEs. We want to help businesses spend less time on financial admin and more time focused on running and growing their business. We’re building intelligent, data-driven and AI/ML-enabled product experiences that help small businesses feel more in control, make better decisions, and get more value from Monzo. ML is at the core of how we build and scale our products, enabling Monzo to make better decisions, faster, and helping us serve businesses more effectively. As a Lead Machine Learning Scientist in Business Banking, you’ll help build and ship models that power the next generation of Business Banking experiences. You’ll work closely with Product, Engineering, Design, Research, Data Science and Analytics Engineering to bring ML-enabled product capability into the heart of how we build for businesses. Whether it’s helping businesses understand their cash flow, reducing manual admin, surfacing the right insight at the right moment, or helping teams build intelligent product experiences responsibly, our work makes business banking smarter, simpler and more useful for SMEs. ## What you'll be working on As a Lead Machine Learning Scientist, you’ll be a technical leader and hands-on individual contributor, spearheading our ML and GenAI capabilities and shipping key models that powers magical Business Banking experiences. You’ll: - Be one of the first ML Scientists in Business Banking, bringing leadership through ambiguity by adding structure and direction to our ML capabilities while staying agile and building momentum. - Develop and deploy advanced ML models on our cloud-native data platform to serve hundreds of thousands of business customers. - Partner with Product, data science and other stakeholders to identify the highest-impact opportunities, size impact, and define success metrics. - Decide when to use ML, GenAI, or simpler approaches and be clear on trade-offs. - Design robust evaluation and monitoring so we can ship responsibly and measure impact in production. - Lead the design and implementation of batch and near-real-time models (e.g. LLM-powered experiences, predictive models, time-series forecasting). - Collaborate closely with MLOps and Backend Engineering to operationalise models end-to-end and raise the bar on ML lifecycle rigor. - Set technical standards, mentor others, and support experimentation and iteration. 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, 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 small businesses use to run and manage their financial lives 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 AI 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. - You’re excited by the opportunity to help Business Banking evolve into AI and ML-enabled product capability. - You can work closely with Product, Engineering, Design, Research and Data colleagues to shape product strategy, clarify trade-offs and build things that customers actually use. - You’re thoughtful about responsible ML/AI; especially in financial products where trust, transparency and customer control matter. Nice to haves - Experience working on personalisation, ranking, recommendation, forecasting, classification or decisioning problems for customer-facing applications. - Experience working on ML systems for fintech, banking, accounting, payments, lending, invoicing, cash flow, tax, risk or business software. - Experience with GenAI, LLMs, agentic workflows, retrieval, evaluation frameworks, or human-in-the-loop product experiences. - Commercial experience writing critical production code and working with microservices. - Experience designing experiments, A/B tests or other approaches to measure product and customer impact. - Experience working in regulated environments or with products where explainability, auditability and customer trust are especially important. 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 Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com. Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. What’s in it for you ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ 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. 📚Learning budget of £1,000 a year for training courses and conferences ➕And much more, see our full list of benefits [here](https://monzo.com/careers/) 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 we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re 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](https://monzo.com/blog/diversity-and-inclusion), 2026 [Diversity and Inclusion Report](https://monzo.com/blog/our-2026-diversity-and-inclusion-report) and 2025 [Gender Pay Gap Report.](https://monzo.com/blog/gender-pay-gap-report-2025) We’re 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 😊 ## About Monzo ## Company Overview - **One-liner**: Monzo is a UK-based digital bank offering personal and business current accounts, savings, loans, investments, and insurance through a mobile-first platform. - **Entity Type**: Private (Series I, unicorn) - **Headquarters**: London, United Kingdom (offices also in Cardiff, Dublin, and Barcelona) - **Founded**: 2015 - **Founders**: Tom Blomfield, Gary Dolman, Jonas Huckestein Templestein, Jason Bates, Paul Rippon (current co‑CEOs are Diana Layfield and Conor Walsh) ## Core Business - Primary industry/industries: Digital banking and financial services (consumer finance, payments, lending) - Target customers: B2C (personal banking) and B2B/SMB (business banking); primarily UK‑based, with growing EU presence - Mission or purpose statement: “Building a bank you’d be proud to use” – focused on solving problems, not selling financial products, and making money work for everyone. ## Products & Services - **Personal Current Account**: Mobile‑banking account with budgeting tools, spending insights, and automated savings. Features real‑time notifications, card controls, and biometric authentication. - **Business Current Account**: Separate account for small businesses with expense categorisation, invoicing, and integration with accounting software. - **Savings Pots**: Sub‑accounts inside the app to save toward goals; includes interest‑bearing options. - **Credit Cards & Loans**: Personal credit cards, overdrafts, and Flex (buy‑now‑pay‑later style borrowing). Also offers personal loans. - **Investments**: Share dealing and ISA products (introduced in 2024). - **Insurance**: Home, travel, and gadget insurance (underwritten by partners). - **Pension Management**: Tools to manage and consolidate pension pots within the app. ## Market Standing - **Valuation**: $5.2 B (current, per Tracxn; latest round Series I) - **Key Metric**: Annual revenue £1 B+ (as of 31 Mar 2025), total funding $1.81 B - **Notable Investors/Partners**: General Catalyst, Passion Capital, Accel (lead investors in previous rounds) - **Growth Signals**: 15 million+ personal and business customers; headcount of ~3,786 (YoY growth 26.8% per Revelio Labs); expansion into EU via Dublin office; launched investment and pension products in 2024; continued lending product innovation (Flex, credit cards). ## Competitive Advantages - **Community‑driven product development** – Customers actively suggest features, test the app, and give feedback, creating strong brand loyalty. - **Mobile‑first architecture** – Built from scratch as a digital‑only bank, offering a seamless user experience with real‑time budgeting and spending insights. - **Regulatory innovation** – One of the first UK challengers to obtain a full banking licence, enabling deposit‑taking and lending. - **Open‑source culture** – Engages with the engineering community through open‑source contributions and transparent development. ## Strategic Focus - **Product expansion**: Deepening lending and investment offerings, and building a wealth management suite. - **International growth**: Scaling in the European market (office in Barcelona, Dublin hub, and hiring for EU‑focused roles). - **Embedded finance**: Enabling third‑party services to use Monzo’s banking infrastructure. - **Operational efficiency**: Using AI/ML for risk management, fraud detection, and personalised financial recommendations. ## Why Work Here - **Culture**: Open, collaborative, and inclusive; regular community events, yoga, and lunch‑and‑learns; contributes to open‑source software. - **Remote/Hybrid**: Office‑based roles allow occasional remote work; distributed workers receive equipment budget. Roles in London, Cardiff, Dublin, Barcelona, or UK‑remote. - **Visas**: Monzo sponsors visas for tech, engineering, and product roles due to Home Office regulations. - **Learning**: £1,000 annual budget for books, courses, and conferences; regular knowledge‑sharing sessions. - **Compensation & Benefits**: Annual salary reviews; performance‑based incentive awards (cash/equity mix); pension (4% Monzo contribution, matching up to 6%); private healthcare; life insurance (4x salary); 26 days holiday + bank holidays (or opt‑out for 34 days); 8‑week sabbatical every 5 years; generous family leave (primary caregiver 26 weeks full pay, secondary 13 weeks full pay); paid sick leave; cycle‑to‑work scheme. - **Office Perks**: Free breakfast, hot lunches twice a week, snacks, and drinks in London office. ## Sources 1. [monzo.com/careers](https://monzo.com/careers) – Benefits, visa policy, flexible working, culture 2. [monzo.com/about](https://monzo.com/about) – Company overview, mission, customer count 3. [tracxn.com/d/companies/monzo](https://tracxn.com/d/companies/monzo/__HguZJzK7Q_qZsyIz1Y4VwV75H5fHjDMtGaXPelPAxpU) – Funding, valuation, revenue, employee count, founders, CEOs 4. [job-boards.greenhouse.io/monzo](https://job-boards.greenhouse.io/monzo/jobs/7963253) – Open roles, location details 5. [reveliolabs.com/companies/monzo-bank/employees](https://www.reveliolabs.com/companies/monzo-bank/employees/) – Headcount growth ## Other roles at Monzo - [Senior Security Analyst](https://feeny.ai/job/senior-security-analyst-monzo-cardiff-london-or-jk8bp6aqacvt) — Cardiff London OR, United Kingdom - [Operational Tax, Senior Manager](https://feeny.ai/job/operational-tax-senior-manager-monzo-cardiff-london-or-jg7ns7mhvv70) — Cardiff London OR, United Kingdom - [Senior Director of People Operations](https://feeny.ai/job/senior-director-of-people-operations-monzo-cardiff-london-or-0wkbrdxj3vgq) — Cardiff London OR, United Kingdom - [Technical Recruiter](https://feeny.ai/job/technical-recruiter-monzo-cardiff-london-or-a2whdef5x6g5) — Cardiff London OR, United Kingdom - [Martech Specialist, AI Deployment](https://feeny.ai/job/martech-specialist-ai-deployment-monzo-london-kg0yfy9g31rs) — London, United Kingdom - [Senior Motion Designer](https://feeny.ai/job/senior-motion-designer-monzo-london-atfhqew7nsf1) — London, United Kingdom - [Lead Product Designer, Growth](https://feeny.ai/job/lead-product-designer-growth-monzo-cardiff-london-or-0tmtebtx8sjj) — Cardiff London OR, United Kingdom - [Graduate Credit Analyst](https://feeny.ai/job/graduate-credit-analyst-monzo-london-j3fr1e8ycv3n) — London, United Kingdom - [Senior Brand Designer, Fixed Term Contract](https://feeny.ai/job/senior-brand-designer-fixed-term-contract-monzo-london-pxcfk4f0v10f) — London, United Kingdom - [Financial Promotions Manager](https://feeny.ai/job/financial-promotions-manager-monzo-london-nbdwt3me88k4) — London, United Kingdom