We're not building another finance app. We're building the world's first AI financial assistant, one that actually understands your money and makes you better at it, and we're changing the world's relationship with money in the process. If that excites you more than it scares you, you'll fit right in.
They design experiments, create models that personalise financial insights, deploy fraud detection systems and scale our conversational AI, making sure that what we build genuinely helps people feel better about their money. From shaping product features and building the models that personalise our users' money journeys, to tackling fraud, scaling our systems and giving leaders the insights they need, our data team is at the heart of it all.
About The Role We're hiring an Tech Lead ML Manager to join the existing data science function at Cleo. You’ll be working on models that support our understanding of a user’s financial life, building our foundational capabilities upon which all our product innovation depends, from the chat based Financial Assistant to our credit products. We work at the intersection of LLMs and classical machine learning, trying to bring the advanced capabilities that are now possible at the speed and scale necessary for the size of Cleo’s userbase.
Deploying machine learning models into production
Collaborating with product managers, backend engineers and analysts to play an active role in the planning and sequencing of work for the squad.
At least 5 years of experience in data science, ML engineering or related roles
Ability to write production quality python code.
Experience deploying machine learning models into production
Experience with both LLMs and classical machine learning
Benefits vary by country and include meaningful equity, comprehensive health insurance, mental health support, a paid one-month sabbatical after four years, a learning & development platform, pension or retirement contributions, and location-specific leave entitlements.
We can't do that without building a brilliant, genuinely diverse team - and making sure our hiring process gives everyone a fair shot, running a fair and transparent recruitment process in which every candidate is considered on their merits.
We're glad to make reasonable adjustments at any stage of the process. We may use AI-assisted tools during the recruitment process to take support the team in different ways like taking notes or referring back to conversations.
📌 Tech Lead Machine Learning Manager, Financial Understanding (España)
🏢 Cleo
📍 España