Machine Learning Engineer - Personalisation London

London About Cleo At Cleo, we're not just buildinganother fintech app. We're embarking on a mission to fundamentallychange humanity's relationship with money. Imagine a world whereeveryone, regardless of background or income, has access to ahyper-intelligent financial advisor in their pocket. That's thefuture we're creating. Cleo is a rare success story: a profitable,fast-growing unicorn with over $200 million in ARR and growing over2x year-over-year. This isn't just a job; it's a chance to join ateam of brilliant, driven individuals who are passionate aboutmaking a real difference. We have an exceptionally high bar fortalent, seeking individuals who are not only at the top of theirfield but also embody our culture of collaboration and positiveimpact. If you���re driven by complex challenges that push yourexpertise, the chance to shape something truly transformative, andthe potential to share in Cleo’s success as we scale, while growingalongside a company that’s scaling fast, this might be your perfectfit. Machine Learning Engineers at Cleo work on building novelsolutions to real-world problems. This really does vary but couldbe: creating chatbots to coach our users around their financialhealth, creating classifiers to better understand transaction dataor even optimising transactions within our payments platform.Ultimately, we’re looking for a brilliant Machine Learning Engineerto join us on our mission to fight for the world's financialhealth. You’ll be leading technical work within a team ofadaptable, creative and product-focused engineers, who train &integrate cutting edge machine learning across a variety ofproducts and deploy them into production for millions of users. Weunderstand our customers, we understand their pain, and we arepassionate about helping them. What you’ll be doing - Training andfine-tuning models to help customers get more value from ourchatbot and app through deeper personalisation, creating a smarter& more engaging experience, recommending the right content andfeatures to make users love Cleo. - Integrating LLMs hosted byOpenAI, Anthropic, GCP, AWS. - Working cross-functionally withbackend engineers, data analysts, UX writers, product managers, andothers to ship features that improve our users’ financial health. -Driving the adoption of appropriate state-of-the-art techniques forrecommendation, message campaign optimisation, and contextualbandits. - Communicating the team’s successes and learnings at thecompany level & beyond. - Developing a holistic view ofpersonalisation and user-level features across Cleo, taking theinitiative to extend existing approaches to benefit new areas ofthe app and conversations. - Supporting ML Engineers around problemframing, ML modelling, and evaluation. Here are some examples, bigand small, of the kinds of product feature work our ML Engineershave taken part in over the last year: - Designed and implementedAI agents to analyse and extract insights from users’ transactionaldata. - Developed models to interpret transactional data, enhancingthe understanding of users’ finances. Think about your bankstatement—how often do you not recognise a transaction on firstreview? - Created contextual intent classifiers to understand userconversations with Cleo, enabling tailored and accurate platformresponses. - Engineered ML models to identify and deliver relevantactions to users within Cleo, ensuring a seamless, context-awareconversational experience. - Built models to evaluate risk incustomer interactions with bank transaction features and useractivities. - Developed optimisation models to improve paymentsuccess rates for customers while minimising business costs,tackling this as a two-sided optimisation challenge. Whateverproblem you tackle, and whichever team you join, your work willdirectly impact those most in need, helping to improve theirfinancial health. What you’ll need - 3-5 years of experience indata science, machine learning engineering, or related roles. -Excellent knowledge of both Data Science (python, SQL) andproduction tools. - Strong ability to communicate findings tonon-technical stakeholders. - Experience deploying machine learningmodels into production; familiarity with Docker containers andcontainer orchestration tools is a plus. Nice to have - Experiencewith recommender systems, personalisation, or ad optimisation. Whatdo you get for all your hard work? - A competitive compensationpackage (base + equity) with bi-annual reviews, aligned to ourquarterly OKR planning cycles. You can view our public progressionframework and salary bandings here:https://cleo-ai.progressionapp.com/. - Work at one of thefastest-growing tech startups, backed by top VC firms, Balderton& EQT Ventures. - A clear progression plan. We want you to keepgrowing. That means trying new things, leading others, challengingthe status quo and owning your impact. Always with our completesupport. - Flexibility. We can’t fight for the world’s financialhealth if we’re not healthy ourselves. We work with everyone tomake sure they have the balance they need to do their best work. -Work where you work best. We’re a globally distributed team. If youlive in London we have a hybrid approach, we’d love you to spendone day a week or more in our beautiful office. If you’re outsideof London, we’ll encourage you to spend a couple of days with us afew times per year. And we’ll cover your travel costs, naturally. -Other benefits; - Company-wide performance reviews every 6 months.- Generous pay increases for high-performing team members. - Equitytop-ups for team members getting promoted. - 25 days annual leave ayear + public holidays (+ an additional day for every year youspend at Cleo, up to 30 days). - 6% employer-matched pension in theUK. - Private Medical Insurance via Vitality, dental cover, andlife assurance. - Enhanced parental leave. - 1 month paidsabbatical after 4 years at Cleo. - Regular socials and activities,online and in-person. - We'll pay for your OpenAI subscription. -Online mental health support via Spill. - Workplace Nursery Scheme.- And many more! We strongly encourage applications from people ofcolour, the LGBTQ+ community, people with disabilities,neurodivergent people, parents, carers, and people from lowersocio-economic backgrounds. If there’s anything we can do toaccommodate your specific situation, please let us know. 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