Machine Learning Engineering Manager
Listed on 2026-02-16
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Software Development
Machine Learning/ ML Engineer, AI Engineer
Machine Learning Engineering Manager
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 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.
Follow us on Linked In to keep up to date with new product features and insights from the team.
About the RoleYou’ll join the existing data science function here at Cleo—a thoughtful and collaborative team of ML engineers, analysts, and data engineers. You'll build and deploy production models that developers will feed directly into the product. This position is essential in the expansion of both product and business. We are highly data driven, whether that be understanding natural language, deriving insights from financial data, or determining which financial product is best suited to a user.
We have interesting problems to solve on an ever‑increasing scale.
You’ll be working on a hugely impactful workstream, focused on the machine learning that underpins our Chat feature. You’ll be shaping how Cleo uses LLMs to have more engaging, accurate, and personalised conversations about money.
Check out this blog on how data science makes Cleo, Cleo.
What you’ll be doing- Understanding core problems faced by our Chat team and coordinating the ML function’s contribution to solving them.
- Finding opportunities for model and product improvements in Cleo's extensive datasets of customer behaviour.
- Managing people of the ML engineers in your squads, coaching and developing them to deliver on the roadmap.
- Building out the headcount plan and handling all hiring and team development within your area to support our growth.
- Extensive experience building and deploying Machine Learning models to production.
- Experience managing and developing high performing teams of data scientists and ML engineers.
- Habits of keeping abreast of the latest research and experimenting productively with new technologies, including LLMs and LLM agent design.
- Experience owning an ML roadmap, driving new ideas through to seeing business impact.
- Ability to write production quality Python code and willingness to be somewhat hands‑on.
- Domain knowledge of NLP, including evaluating LLM systems and fine tuning LLMs or other transformer models.
- Strong ability to communicate findings to non‑technical stakeholders in a concise and engaging manner.
- Experience with containers and container orchestration:
Kubernetes, Docker, and/or Mesos. - Experience using vector databases such as Open Search.
- Interview with a Recruiter (30 mins)
- Interview with the Hiring Manager (30 mins)
- Technical Interview (30 mins)
- White‑boarding session (60 mins)
- Technical Discussion (45 mins)
- Management Skills Interview (30 mins)
- A competitive compensation package (base + equity) with bi‑annual 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. That means trying new things, leading others, challenging the status quo and owning your impact. Always with our complete support.
- Flexibility. We can’t fight for the world’s financial health if we’re not healthy ourselves. We work with everyone to make sure they have the balance they need to do their…
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