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Graduate Machine Learning Engineer (London)

Cooper & Hall Limited
London
3 days ago
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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 youre driven by complex challenges that push your expertise, the chance to shape something truly transformative, and the potential to share in Cleos success as we scale, while growing alongside a company thats scaling fast, this might be your perfect fit. Follow us on LinkedIn to keep up to date with new product features and insights from the team.

What Youll Be Doing

  • 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.
  • Deploy these models into our production environments using our in-house ML platform.
  • 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 its 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
  • Built models to optimise the payment success for our customers and optimising the costs for the business. Think of this as a two-sided optimisation problem.
  • 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.
  • Developed contextual intent classifiers to understand what conversations users are having with Cleo and control how Cleo should respond
  • 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.

About You

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. Youve 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. You are excited to learn how to embrace these opinions and use them to deliver value.

As this is a junior position were looking for someone who has recently graduated with a Computer Science / ML / AI related degree and Masters or a PhD.

What do you get for all your hard work?

  • A competitive compensation package (base + equity) with bi-annual reviews. This position is a DS1/2 level and we can pay 36,278 - 73,504 p.a - negotiable.
  • 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 cant fight for the worlds financial health if were 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. Were a globally distributed team. If you live in London we have a hybrid approach, wed love you to spend one day a week or more in our beautiful office. If youre outside of London, well encourage you to spend a couple of days with us a few times per year. And well cover your travel costs, naturally.
  • Other benefits include:
    • 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
    • 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 theres anything we can do to accommodate your specific situation, please let us know.

UK App access:

The Cleo app is no longer downloadable in the UK (but only until next year). If youre an existing user, youll still have access to the app. But some features wont be available (just for a little while). Why? 99% of our users are based in the US where financial health is often overlooked. Weve 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 well be able to apply what we learn to better support our UK users in the future.

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