ML Tech Lead — Payments Intelligence

Cleo

España

On-site

EUR 90,000 - 130,000

Full time

11 days ago

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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 to own the Payments Intelligence squad, guiding a team of around 4 MLEs and shaping how we optimise payments systems for better financial performance.

You will deploy production ML models, collaborate with product managers, backend engineers, and analysts, and ensure data collection supports future models. The role focuses on practical, business-impacting AI rather than language models.

Qualifications

  • 5+ years in data science or ML engineering.
  • At least 1 year of management experience.
  • Ability to write production-quality Python code.
  • Experience deploying ML models into production.
  • Experience in payments, pricing, risk decisioning, or related optimization.
  • Strong ability to communicate findings to non-technical stakeholders.
  • Nice to have: experience with credit collections.

Responsibilities

  • Lead and manage a team of 4 MLEs.
  • Deploy machine learning models into production - classifiers, payments recommendations, and other impactful models.
  • Collaborate with product managers, backend engineers, and analysts; plan and sequence squad work.
  • Work with engineers to ensure data collection supports future models.

Skills

Data science
ML engineering
Team management
Python
Production deployment
Payments domain
Communication

Job description

Cleo is hiring a Machine Learning Tech Lead to own the Payments Intelligence squad, guiding a team of around 4 MLEs and shaping how we optimise payments systems for better financial performance.

You will deploy production ML models, collaborate with product managers, backend engineers, and analysts, and ensure data collection supports future models. The role focuses on practical, business-impacting AI rather than language models.

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