Tech Lead Machine Learning Manager - Payments at Cleo | GB | Rezi

Tech Lead Machine Learning Manager - Payments at Cleo

Tech Lead Machine Learning Manager - Payments

Cleo · GB

1 months ago

Tech Lead Machine Learning Manager - Payments

Cleo · GB

2 months ago
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About the Role

We are seeking a Machine Learning Tech Lead to provide technical leadership and ownership for the Payments Intelligence team, managing approximately 4 Machine Learning Engineers. This team focuses on optimizing Cleo's payments systems, including credit collections and subscription retention, directly impacting the company's financial performance. You will collaborate with a cross-functional squad to understand business challenges and apply ML engineering expertise to deploy impactful, best-in-class models.

Responsibilities

  • Lead and manage a team of 4 MLEs
  • Deploy machine learning models into production, including classifiers and payments recommendation systems, typically using tabular data
  • Collaborate with product managers, backend engineers, and analysts to plan and sequence squad work
  • Work closely with engineers to ensure the collection of appropriate data for future machine learning models

Requirements

  • At least 5 years of experience in data science, ML engineering, or related roles
  • At least 1 year of management experience, preferably with 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 optimization problems
  • Comfortable with complexity and developing a holistic system understanding to propose and build solutions
  • Strong ability to communicate findings concisely and engagingly to non-technical stakeholders
  • Experience with credit collections is a plus

Skills

  • Machine Learning
  • Python
  • Data Science
  • ML Engineering
  • Payments Systems Optimization
  • Credit Collections
  • Subscription Retention
  • Model Deployment
  • Tabular Data Analysis
  • Communication

Location

  • Remote

Work Type

  • Full-time

Experience Level

  • 5+ years in data science/ML engineering
  • 1+ year management experience

Benefits

  • Meaningful equity
  • Comprehensive health, dental, and vision insurance
  • Mental health support
  • Paid one-month sabbatical after four years
  • Learning and development platform
  • Pension or retirement contributions
  • Location-specific leave entitlements

About the Company

  • Cleo is building the world's first AI financial assistant that understands users' money and helps them improve their financial habits.
  • The company is profitable, fast-growing, and has achieved unicorn status with over $300M in ARR and millions of users.
  • Cleo values original thinkers who challenge the status quo, operate with speed, and prioritize transparency.
  • The company has approximately 45 ML engineers responsible for the AI powering the product, including designing experiments, creating personalized financial insights, deploying fraud detection, and scaling conversational AI.

Equal Opportunity

  • Cleo's mission is to change the world's relationship with money by building a diverse team.
  • The company is committed to a fair and transparent recruitment process where every candidate is considered on their merits.
  • Reasonable adjustments can be made at any stage of the process to support candidates.
  • AI-assisted tools may be used during recruitment for support functions like note-taking, but all applications are thoroughly reviewed by a Cleo employee.