London About Cleo At 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. Cleo is a rare success story: a profitable,
fast-growing unicorn with over $200 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. If 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. 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. What you’ll be doing - 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. -
Driving the adoption of appropriate state-of-the-art techniques for
recommendation, message campaign optimisation, and contextual
bandits. - Communicating the team’s successes and learnings at the
company level & beyond. - Developing a holistic view of
personalisation and user-level features across Cleo, taking the
initiative to extend existing approaches to benefit new areas of
the app and conversations. - 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. Think about your bank
statement—how often do you not recognise a transaction on first
review? - Created contextual intent classifiers to understand user
conversations with Cleo, enabling tailored and accurate platform
responses. - 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. - Developed optimisation models to improve payment
success rates for customers while minimising business costs,
tackling this as a two-sided optimisation challenge. Whatever
problem you tackle, and whichever team you join, your work will
directly impact those most in need, helping to improve their
financial health. What you’ll need - 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. - Strong ability to communicate findings to
non-technical stakeholders. - Experience deploying machine learning
models into production; familiarity with Docker containers and
container orchestration tools is a plus. Nice to have - Experience
with recommender systems, personalisation, or ad optimisation. What
do you get for all your hard work? - A competitive compensation
package (base + equity) with bi-annual reviews, aligned to our
quarterly OKR planning cycles. You can view our public progression
framework and salary bandings here:
https://cleo-ai.progressionapp.com/. - Work at one of the
fastest-growing tech startups, backed by top VC firms, Balderton
& EQT Ventures. - A clear progression plan. We want you to keep
growing. That means trying new things, leading others, challenging
the status quo and owning your impact. Always with our complete
support. - Flexibility. We can’t fight for the world’s financial
health if we’re not healthy ourselves. We work with everyone to
make sure they have the balance they need to do their best work. -
Work where you work best. We’re a globally distributed team. 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. If you’re outside
of London, we’ll encourage you to spend a couple of days with us a
few 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. - Equity
top-ups for team members getting promoted. - 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. - 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 of
colour, the LGBTQ+ community, people with disabilities,
neurodivergent people, parents, carers, and people from lower
socio-economic backgrounds. If there’s anything we can do to
accommodate your specific situation, please let us know. Apply for
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