About this role
Checkout.com seeks a Senior Machine Learning Engineer to join the Disputes ML team in London, making this role a strong fit for professionals experienced in MLOps and production-ready machine learning. The position involves building a brand-new, machine learning-driven dispute optimisation suite within a global fintech environment.
Role Overview
Checkout.com is hiring a Senior Machine Learning Engineer for its London headquarters. Operating within the Disputes ML team, the professional will help build a new dispute optimisation suite and develop solutions supporting value-added services in the dispute management sector. The working model follows a hybrid structure with three days per week in the office.
Key Responsibilities
Requirements
Skills and Tools
About the Company
Checkout.com operates a payment platform that processes billions of transactions annually for global digital brands. Headquartered in London with twenty offices across six continents, the company powers digital transactions for merchants across the world.
How to Apply
Candidates should apply directly on the official Checkout.com careers page.
Skills and tech stack
Questions candidates ask
Where is the Senior Machine Learning Engineer role located?
The role is based at the London headquarters of Checkout.com, utilizing a hybrid working model requiring three days per week in the office.
How many years of experience are required for this position?
Candidates must have 5 or more years of experience as an MLOps or Machine Learning Engineer.
What cloud platforms are used in the development environment?
The engineering teams use AWS and Azure for cloud-based application development.
What specific team will the engineer join?
The engineer will join the Disputes ML team to work on a brand-new dispute optimisation suite.
How should interested candidates apply?
Candidates should submit their application through the official Checkout.com careers page.