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Join to apply for the Graduate Machine Learning Engineer role at Cleo
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. 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.
Joining a cross-functional product squad with a mix of backend engineers, data analysts, frontend engineers, user researchers, designers, UX writers and others to develop features that improve our users’ financial health
You will be building ML models to solve customer problems across chat, payments, risk and marketing. Supported by Senior ML engineers to help you craft the problem definition, modelling approach, and deployment options.
Deploy these models into our production environments using our in-house ML platform, that you can read about on our blog. Integrating LLMs where appropriate, following evaluation-driven development of applied AI.
Learning not only how to deploy and build models, but how to understand data, business problems and how you know what you have built works for customers.
Learning how to manage and own ML in production with our monitoring tools for; feature drift, accuracy and performance of your APIs
Learning about our approach to data-driven development where we emit data with each feature we build so we can measure what it’s doing, and finding out how we analyse that data to detect problems and come up with new ideas
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
Built ML models to understand the risk of customers using complex transactional bank data and user activity
Building AI Agents to explore and derive insights from users transactional data
Developed deeper understanding of users finances through models extracting meaning from transactional data. Building models to understand the actions that users have available to them in Cleo and provide those contextually in conversations
Whichever squad and part of the business you land in, you will ship changes to our millions of active users and see your work having a material impact on the financial health of those most in need.
Firstly and most importantly, all of the above sounds exciting to you and you want to make a positive difference in society by improving the financial health of our users worldwide.
You’ve also read our company values which drive our ways of working and help us deliver working software to our users, learn what works and iterate quickly to improve it. As this is a junior position we’re looking for someone who has recently graduated with a Computer Science / ML / AI related degree and Masters or a PhD.
Coding in Python, including numpy, pandas, and object oriented programming
Familiarity with machine learning concepts
A competitive compensation package (base + equity) with bi-annual reviews. You can view our public progression framework and salary bandings here: - This position is a DS1/2 level and we can pay £36,278 - £73,504 p.a depending on experience.
~ 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.
~ 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
~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
~ 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.
in the US – where financial health is often overlooked. We’ve decided to shift our focus to where we can provide the most value and make the greatest impact for users who need it most. Then we’ll be able to apply what we learn to better support our UK users in the future. Seniority level Entry level
Employment type Full-time
Job function Engineering and Information Technology
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