Machine Learning Engineering Manager
Payments & Lending
Updated on 3/27/2024
Cleo AI

201-500 employees

AI assistant providing personalized financial insights and tools
Company Overview
Cleo, an AI-driven financial platform, is committed to alleviating financial stress by providing personalized financial insights and tools with a touch of humor, having already assisted 7 million users. The company's culture fosters collaboration, personal growth, and values each employee's voice, creating a purpose-driven work environment. Cleo's unique approach to credit building, which eschews traditional credit checks, further sets it apart in the industry, demonstrating its commitment to inclusive financial growth.
AI & Machine Learning
Financial Services

Company Stage

Series C

Total Funding

$138.3M

Founded

2016

Headquarters

, United Kingdom

Growth & Insights
Headcount

6 month growth

19%

1 year growth

30%

2 year growth

1%
Locations
London, UK
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Python
SQL
CategoriesNew
AI & Machine Learning
Applied Machine Learning
AI Research
Requirements
  • Extensive experience building and deploying Machine Learning models to production
  • Experience managing and developing high performing teams of data scientists and ML engineers
  • Proven track record of measuring business and user impact with techniques such as A/B testing
  • Ability to write production quality code in Python and SQL
  • Strong ability to communicate findings to non-technical stakeholders
  • Habits of keeping abreast of the latest research and experimenting productively with new technologies
  • Experience proactively influencing the ML roadmap, driving new ideas with a bias for impact
Responsibilities
  • Understanding core problems faced by our Payments & Lending team and leading the team to overcome them
  • Finding opportunities for model and product improvements in Cleo's extensive datasets of transactions, bank balances, and customer behaviour
  • Impacting Cleo’s bottom line through improving our lending eligibility and decisioning systems
  • Responsible for people management of the data scientists & ML engineers in your squads, coaching and developing them to deliver on the roadmap
  • Building out the headcount plan and will be responsible for all hiring and team development within your area to support our growth