Tech Lead Machine Learning Manager - Payments

We're hiring a Machine Learning Tech Lead to take on technical leadership and ownership of the Payments Intelligence team, managing a team of circa 4 MLEs. This team is responsible for optimising Cleo's payments systems - covering both credit collections and subscription retention - a workstream with a direct impact on the company's financial performance. You'll work closely with your cross-functional squad to understand business issues, then use your ML engineering skills to deploy best-in-class models that move the bottom line.

Lead and manage a team of 4 MLEs

Deploy machine learning models into production - classifiers, payments recommendation systems, and any other model that can have impact, typically working with tabular data rather than language models

Collaborate with product managers, backend engineers, and analysts, playing an active role in planning and sequencing work for the squad

Work closely with engineers to make sure the right data is collected to build future machine learning models

What we're looking for 🕵

At least 5 years of experience in data science, ML engineering, or related roles

At least 1 year of management experience, ideally of a small team

Ability to write production-quality Python code

Experience deploying machine learning models into production

Track record in payments, pricing, risk decisioning, or other business process optimisation problems

Comfortable with complexity, and developing a holistic understanding of a system in order to propose and build solutions

A strong ability to communicate findings to non-technical stakeholders in a concise and engaging manner

Nice to have: experience with credit collections

Cleo's mission is to change the world's relationship with money. 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. If there's anything we can do to support you in showing us your best, please let your recruiter or one of the team know.

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. They do not replace the team and all applications are reviewed by a Cleo employee thoroughly!