Tech Lead Machine Learning Manager - Payments

• 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

We offer benefits package built to support you in and out of work. Benefits vary by country 🌍 and include meaningful equity, comprehensive health, dental and vision insurance, mental health support, a paid one-month sabbatical after four years, a learning and development platform, pension or retirement contributions, and location-specific leave entitlements.

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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

Most money apps talk at you. Cleo talks back ✨

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 💰 For everyone, whatever their background or balance.

The proof: profitable, fast-growing, a unicorn with over $300M in ARR, and millions of people who now feel differently about their money.

We love original thinkers who challenge the status quo. We move fast, tell the truth, and there's nowhere to hide from good work here. If that excites you more than it scares you, you'll fit right in.

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