United Kingdom 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. About Cleo
Most people come to Cleo to do work that matters. Every day, we
empower people to build a life beyond their next paycheck, building
a beloved AI that enables you to forge your own path toward
financial well-being. Backed by Tier 1 investors, we’ve reached
millions of people to support them throughout their financial
lives, from their first paycheck to their first home and beyond.
We're hitting headlines too. This year, Forbes named us as one of
their Next Billion Dollar Startups, and we were crowned the
'Hottest Tech Scaleup' at the Europas. 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
Principal 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. - Integrating
our models with 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. - 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.
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 - Experience in industry machine
learning roles as a technical leader or principal/staff engineer. -
Excellent knowledge of both Data Science (python, SQL) and
production tools. - A deep understanding of probability and
statistics fundamentals. - Big picture thinking to correctly
diagnose problems and productionising research. - Top tier
communication skills, to be able to partner with Product and
Commercial Leaders. - Industry-leading contributions to your field,
communicated through conferences, blogs, talks, or open-source
projects. Nice to have - Strong experience with additional
programming languages, such as Java, Scala, C++. - Broader
contributions to your field through: conferences, blogs, talks, or
open-source projects. What do you get for all your hard work? - A
competitive compensation package (base + equity) with bi-annual
reviews. You can view our public progression framework and salary
bandings here:https://cleo-ai.progressionapp.com/- This position
is a DS5 level and we can pay £111,184 - £145,088 p.a depending on
experience. - 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
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;
if you’re outside of London, we’ll encourage you to spend a couple
of days with us a few times per year. - Other benefits: - 25 days
annual leave a year + public holidays (+ an additional day for
every year you spend at Cleo). - 401k matching in the US and 6%
employer-matched pension in the UK. - Private Medical Insurance. -
1 month paid sabbatical after 4 years at Cleo! - Online courses
& internal training to level up your skills. - Regular socials
and activities, online and in-person. - Online mental health
support via Spill. - And many more! Apply for this job * indicates
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