Principal Machine Learning Engineer - Personalisation

Cleo
united kingdom
1 month 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 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.


About the role


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

  1. 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.
  2. Deploying these models into our production environments using our in-house ML platform.
  3. Integrating our models with LLMs hosted by OpenAI, Anthropic, GCP, AWS.
  4. Working cross-functionally with backend engineers, data analysts, UX writers, product managers, and others to ship features that improve our users' financial health.
  5. Driving the adoption of appropriate state-of-the-art techniques for recommendation, message campaign optimisation, and contextual bandits.
  6. Communicating the team's successes and learnings at the company level & beyond.
  7. 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.
  8. 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:

  1. Designed and implemented AI agents to analyse and extract insights from users' transactional data.
  2. Developed models to interpret transactional data, enhancing the understanding of users' finances.
  3. Created contextual intent classifiers to understand user conversations with Cleo, enabling tailored and accurate platform responses.
  4. Engineered ML models to identify and deliver relevant actions to users within Cleo, ensuring a seamless, context-aware conversational experience.
  5. Built models to evaluate risk in customer interactions with bank transaction features and user activities.
  6. 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

  1. Experience in industry machine learning roles as a technical leader or principal/staff engineer.
  2. Excellent knowledge of both Data Science (python, SQL) and production tools.
  3. A deep understanding of probability and statistics fundamentals.
  4. Big picture thinking to correctly diagnose problems and productionising research.
  5. Top tier communication skills, to be able to partner with Product and Commercial Leaders.
  6. Industry-leading contributions to your field, communicated through conferences, blogs, talks, or open-source projects.

Nice to have

  1. Advanced Degree in a quantitative discipline.
  2. Strong experience with additional programming languages, such as Java, Scala, C++.
  3. Broader contributions to your field through: conferences, blogs, talks, or open-source projects.

What do you get for all your hard work?

  1. A competitive compensation package (base + equity) with bi-annual reviews, aligned to our quarterly OKR planning cycles.
  2. Work at one of the fastest-growing tech startups, backed by top VC firms, Balderton & EQT Ventures.
  3. 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.
  4. Flexibility. We work with everyone to make sure they have the balance they need to do their best work.
  5. Work where you work best. We're a globally distributed team. If you live in London we have a hybrid approach.
  6. 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.

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.


UK App access:The Cleo app is no longer downloadable in the UK (but only until next year). If you're an existing user, you'll still have access to the app. But some features won't be available (just for a little while). 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.

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