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Senior Machine Learning Engineer
Cleo
- London, England, United Kingdom
- London, England, United Kingdom
Über
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 Senior 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 Senior 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 solve customer problems across our chatbot and the bank transaction data behind it.
Deploying these models into our production environments using our in‑house ML platform, or integrating with LLMs hosted by OpenAI, Anthropic, GCP, AWS and others.
Working cross‑functionally with backend engineers, data analysts, UX writers, product managers, annotation teams and others to ship features that improve our users’ financial health.
Taking the initiative to propose & lead technical work towards problems that were previously unknown or poorly understood, driving change at the chapter level that affects multiple squads.
Keeping Cleo at the forefront of NLP by driving the adoption of appropriate state‑of‑the‑art techniques and communicating the team’s successes and learnings at the company level & beyond.
Mentoring & advising colleagues on their choices of models, architecture and evaluation, promoting best practices for how we use LLMs.
Examples of Recent Product Feature Work
Building AI Agents to explore and derive insights from users transactional data.
Developing 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, enabling control of how Cleo should respond.
Building ML models to understand the actions that users have available to them in Cleo and provide those contextually in conversations.
Built ML models to understand the risk of customers using bank transaction features and user activity.
Built models to optimise the payment success for our customers and optimise the costs for the business, a two‑sided optimisation problem.
What you’ll need
Experience in industry machine learning roles as a technical leader or senior 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 productionise 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.
Advanced degree in a quantitative discipline or equivalent commercial experience.
Nice to have
Strong experience with additional programming languages, such as Java, Scala, C++.
Industry‑leading contributions to your field, communicated through conferences, blogs, talks or open‑source projects.
The recruitment process
Interview with a Recruiter (30 mins).
Interview with the Hiring Manager (30 mins).
Python Coding Interview (45 mins).
White‑boarding session (60 mins).
Technical Discussion (45 mins).
What you get for all your hard work
A competitive compensation package (base + equity) with termly reviews, aligned to our quarterly OKR planning cycles.
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, try new things, lead others, challenge the status quo and own your impact.
Flexibility: we work with everyone to ensure they have the balance they need to do their best work.
Work where you work best – 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 few days with us per year and cover your travel costs.
Company‑wide performance reviews every 4 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 (plus 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.
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Sprachkenntnisse
- English
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