(Senior) Machine Learning Engineer, Chat
il y a 13 heures
Alcobendas
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 2× 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 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. /p h3What You'll Be Doing /h3 ul liTraining and fine‑tuning models to solve customer problems across our chatbot and the bank transaction data behind it. /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 toward problems that were previously unknown or poorly understood, driving change at the chapter level that affects multiple squads. /li liKeeping Cleo at the forefront of NLP by driving the adoption of appropriate state‑of‑the‑art techniques and communicating the team’s successes and learnings at the company level beyond. /li liMentoring advising colleagues on their choices of models, architecture and evaluation, promoting best practices for how we use LLMs. /li /ul h3Examples of Product Feature Work /h3 ul liBuilding AI agents to explore and derive insights from users’ transactional data. /li liDeveloping deeper understanding of users’ finances through models extracting meaning from transactional data. /li liDeveloping 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 liBuilding 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. /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 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 h3Recruitment 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 h3Benefits /h3 ul liCompetitive compensation package (base + equity) with 3‑annual reviews, aligned to our termly OKR planning cycles. /li liMid‑level:br/• London, UK Hybrid: £74,266 – £91,000 gross annuallybr/• UK Remote: £69,699 – £85,000 gross annuallybr/• Europe Remote: €78,750 – €99,750 /li liSenior‑level:br/• London, UK Hybrid: £94,059 – £115,000 gross annuallybr/• UK Remote: £88,938 – £109,000 gross annuallybr/• Europe Remote: €99,750 – €126,000 /li liWork at one of the fastest‑growing tech startups, backed by top VC firms, Balderton EQT Ventures. /li liClear progression plan, leadership opportunities and ownership of impact. /li liFlexibility: we work with everyone to make sure they have the balance they need to do their best work. /li liGlobally distributed team with hybrid options for London staff and annual travel for others. /li liCompany‑wide performance reviews every 4 months. /li liGenerous pay increases for high‑performing team members. /li liEquity top‑ups awarded in performance reviews. /li li25 days annual leave + public holidays (+ an additional day for every year spent at Cleo, up to 30). /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, life assurance. /li liOnline mental health support via Spill. /li liEnhanced parental leave. /li liWorkplace nursery scheme. /li liPaid access to multiple AI platforms (ChatGPT, Codex, Claude) and the latest AI coding models. /li liChoice of Windows or Apple computer. /li liRegular socials and activities, online and in‑person. /li liAnd many more! /li liFinal compensation will be determined based on seniority, qualifications, skills and previous experience. /li /ul h3EEO Statement /h3 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 /p #J-18808-Ljbffr