Machine Learning Performance Engineer

At Cleo, we're not just building another fintech app. Imagine a world where everyone, regardless of background or income, has access to a hyper-intelligent financial advisor in their pocket. 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. 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. Ultimately, we’re looking for a brilliant 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. Training and fine-tuning models to help customers get more value from our chatbot and app through deeper personalisation, creating a smarter & more engaging experience, recommending the right content and features to make users love Cleo. Integrating LLMs hosted by OpenAI, Anthropic, GCP, AWS. Working cross-functionally with backend engineers, data analysts, UX writers, product managers, and others to ship features that improve our users’ financial health. Supporting ML Engineers around problem framing, ML modelling, and evaluation. Here are some examples, big and small, of the kinds of product feature work our ML Engineers have taken part in over the last year: Designed and implemented AI agents to analyse and extract insights from users’ transactional data. Developed models to interpret transactional data, enhancing the understanding of users’ finances. Engineered ML models to identify and deliver relevant actions to users within Cleo, ensuring a seamless, context-aware conversational experience. Built models to evaluate risk in customer interactions with bank transaction features and user activities. Whatever problem you tackle, and whichever team you join, your work will directly impact those most in need, helping to improve their financial health. 3-5 years of experience in data science, machine learning engineering, or related roles. ~ Excellent knowledge of both Data Science (python, SQL) and production tools. ~ Experience deploying machine learning models into production; A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles. A clear progression plan. We can’t fight for the world’s financial health if we’re not healthy ourselves. If you live in London we have a hybrid approach, we’d love you to spend one day a week or more in our beautiful office. And we’ll cover your travel costs, naturally. ~ Company-wide performance reviews every 6 months. ~ Generous pay increases for high-performing team members. ~ 25 days annual leave a year + public holidays (+ an additional day for every year you spend at Cleo, up to 30 days). ~6% employer-matched pension in the UK. ~ Private Medical Insurance via Vitality, dental cover, and life assurance. ~ Enhanced parental leave. ~1 month paid sabbatical after 4 years at Cleo. ~ Regular socials and activities, online and in-person. ~ Online mental health support via Spill. ~ We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. indicates a required field #