ph3About Cleo /h3 pAt Cleo, we’re not just building another fintech app. We’re embarking on a mission to fundamentally change humanity’s relationship with money. Imagine a world where everyone, regardless of background or income, has access to a hyper‑intelligent financial advisor in their pocket. That’s the future we’re creating. /p pCleo is a rare success story: a profitable, fast‑growing unicorn with over $300 million in ARR and growing over 2x year‑over‑year. This isn’t just a job; it’s a chance to join a team of brilliant, driven individuals who are passionate about making a real difference. We have an exceptionally high bar for talent, seeking individuals who are not only at the top of their field but also embody our culture of collaboration and positive impact. /p pIf you’re driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleo’s success as we scale, while growing alongside a company that’s scaling fast, this might be your perfect fit. /p pFollow us on LinkedIn to keep up to date with new product features and insights from the team. /p h3About The Role /h3 p(Senior) Machine Learning Engineers at Cleo work on building novel solutions to real‑world problems. This really does vary but could be: creating chatbots to coach our users around their financial health, creating classifiers to better understand transaction data or even optimising transactions within our payments platform. /p pUltimately, we’re looking for a brilliant (Senior) Machine Learning Engineer to join us on our mission to fight for the world’s financial health. You’ll be leading technical work within a team of adaptable, creative and product‑focused engineers, who train integrate cutting‑edge machine learning across a variety of products and deploy them into production for millions of users. We understand our customers, we understand their pain, and we are passionate about helping them. /p pCheck out this blog on Isabelle’s journey in ML at Cleo. /p h3What You’ll Be Doing /h3 ul liTraining and fine‑tuning models to solve customer problems. /li liDeploying these models into our production environments using our in‑house ML platform, or integrating with LLMs hosted by OpenAI, Anthropic, GCP, AWS and others. /li liWorking cross‑functionally with backend engineers, data analysts, UX writers, product managers, annotation teams, and others to ship features that improve our users’ financial health. /li liTaking the initiative to propose lead technical work towards problems that were previously unknown or poorly understood. Driving change at the chapter level that affects multiple squads.



/li liMentoring advising colleagues on their choices of models, architecture, and evaluation, promoting best practices for how we use LLMs. /li /ul pHere are some examples, big and small, of the kinds of product feature work our ML Engineers have taken part in over the last year. /p ul liDeveloped deeper understanding of users’ finances through models extracting meaning from transactional data. Think about your bank statement – how often do you not know what a transaction is? /li liDeveloped contextual intent classifiers to understand what conversations users are having with Cleo, enabling control of how Cleo should respond. /li liBuilding ML models to understand the actions that users have available to them in Cleo and provide those contextually in conversations. /li liBuilt ML models to understand the risk of customers using bank transaction features and user activity. /li liBuilt models to optimise the payment success for our customers and optimise the costs for the business. Think of this as a two‑sided optimisation problem. /li /ul h3What You’ll Need /h3 ul liExcellent knowledge of both Data Science (Python, SQL) and production tools. /li liA deep understanding of probability and statistics fundamentals. /li liBig picture thinking to correctly diagnose problems and productionise research. /li liTop tier communication skills, to be able to partner with Product and Commercial Leaders. /li liIndustry‑leading contributions to your field, communicated through conferences, blogs, talks or open‑source projects. /li liAdvanced Degree in a quantitative discipline or equivalent commercial experience. /li /ul h3Nice to have /h3 ul liStrong experience with additional programming languages, such as Java, Scala, C++. /li liIndustry‑leading contributions to your field, communicated through conferences, blogs, talks or open‑source projects. /li /ul h3The recruitment process /h3 ul liInterview with a Recruiter (30 mins) /li liInterview with the Hiring Manager (30 mins) /li liPython Coding Interview (45 mins) /li liWhite‑boarding session (60 mins) /li liTechnical Discussion (45 mins) /li /ul h3What do you get for all your hard work? /h3 ul liA competitive compensation package (base + equity). /li libMid‑level (L2) /b ul liLondon, UK Hybrid: £75,000 – £95,000 gross annually /li liUK Remote:



£69,000 – £87,000 gross annually /li liEurope Remote: €78,750 – €99,750 gross annually /li /ul /li libSenior‑level (L3) /b ul liLondon, UK Hybrid: £95,000 – £120,000 gross annually /li liUK Remote: £87,000 – £110,000 gross annually /li liEurope Remote: €99,750 – €126,000 gross annually /li /ul /li liWork at one of the fastest‑growing tech startups, backed by top VC firms, Balderton EQT Ventures. /li liA clear progression plan. /li liFlexibility. /li liWork where you work best. /li liCompany‑wide performance reviews every 4 months. /li liGenerous pay increases for high‑performing team members. /li liEquity top‑ups awarded across all levels in performance reviews. /li li25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo, up to 30 days). /li li1 month paid sabbatical after 4 years at Cleo. /li li6% employer‑matched pension in the UK. /li liPrivate Medical Insurance via Vitality, dental cover, and life assurance. /li liOnline mental health support via Spill. /li liEnhanced parental leave. /li liWorkplace Nursery Scheme. /li liPaid for access to multiple AI platforms (ChatGPT, Codex, Claude). /li liAccess to the latest AI coding models. /li liPick your kit – choose between a Windows or an Apple computer. /li liRegular socials and activities, online and in‑person. /li liAnd many more! /li liFinal compensation will be determined based on the candidate’s seniority, qualifications, skills and previous experience. /li /ul pWe strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers and people from lower socio‑economic backgrounds. /p pApp access for people in the UK Europe: if you are an iOS user, please use this link to sign up to our TestFlight version of the app, so you can have a play around with the functionality and features: /p pBy submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Cleo AI. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Cleo AI may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Cleo AI’s Candidate Privacy Notice. /p /p #J-18808-Ljbffr

📌 (Senior) Machine Learning Engineer (España)
🏢 Cleo
📍 España