ML Tech Lead, Payments Intelligence — Lead 4 MLEs

Cleo; United Kingdom; On-site; GBP 110,000 - 160,000; Full time

Benefits offered by this job

Equity

Health insurance

Mental health support

Sabbatical after four years

Learning & development platform

Pension contributions

Location-specific leave

Job summary

Cleo is hiring a Machine Learning Tech Lead in the United Kingdom to own the Payments Intelligence stream. You will lead a small team of around four MLEs and drive production deployments of classifiers and payments recommendation models that impact retention and collections.

Collaboration with product, backend, and analytics will be essential to align ML work with business goals. The role requires strong Python production skills, 5+ years in data science/ML, and proven experience deploying

Qualifications

• 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.
• Able to write production-quality Python code.
• Experience deploying ML models into production.
• Track record in payments, pricing, risk decisioning, or related optimisation problems.
• Strong ability to communicate findings to non-technical stakeholders.

Responsibilities

• Lead and manage a team of around 4 MLEs.
• Deploy ML models into production—classifiers, payments recommendations, etc.
• Collaborate with product managers, backend engineers, and analysts on planning and sequencing work.
• Work closely with engineers to ensure data collected supports future models.

Skills

ML leadership

Python production

ML deployment

Stakeholder comms

Payments experience

Team management

Tools

Python

Job description

Cleo is hiring a Machine Learning Tech Lead in the United Kingdom to own the Payments Intelligence stream. You will lead a small team of around four MLEs and drive production deployments of classifiers and payments recommendation models that impact retention and collections.

Collaboration with product, backend, and analytics will be essential to align ML work with business goals. The role requires strong Python production skills, 5+ years in data science/ML, and proven experience deploying