Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
This is an on-site position based in Cambridge, UK.
This information is not specified in the job description.
The role requires experience in end-to-end processing and modeling of large data sets, training deep learning models using self-supervised training, supervised fine-tuning or adaptation approaches, and leading deployment and maintenance of statistical models and algorithms.
The team is a new, high-impact initiative focused on building payments-focused foundation AI models, emphasizing collaboration across engineering, data science, research, product, and commercial teams, with a hands-on technical approach in an Individual Contributor track.
Strong candidates demonstrate a willingness to adapt to a variable role, take ownership of duties, collaborate across teams, coordinate work including tech lead responsibilities, identify risks, and ensure models navigate risk management with high-quality documentation.
Global digital payment network provider
Visa operates a global digital payment network that facilitates electronic payments for millions of people daily. The company connects consumers, businesses, financial institutions, and governments, allowing them to make transactions using Visa cards. Each time a card is used, Visa earns money through transaction, service, and data processing fees. Unlike many competitors, Visa focuses on expanding access to financial services for underserved communities and supporting local economies. The company's goal is to promote financial inclusivity and drive sustainable commerce, ensuring that more people can participate in the global economy.