Visa

Senior ML Engineer at Visa focused on designing, developing, and deploying scalable machine learning products for online prediction. The role involves building and maintaining ML infrastructure and tooling, collaborating with cross-functional teams, and ensuring the performance and reliability of ML models in production. Experience with cloud platforms (AWS/GCP), Kubernetes, Vertex AI, Triton inference server, and ML lifecycle fundamentals is required.

New College Grad Systems Engineer role focused on infrastructure management, with a specific emphasis on leveraging Generative AI tools for automation, workflow streamlining, and innovation in infrastructure management. The role involves assisting with server, storage, and GPU platform setup, configuration, and maintenance, collaborating with senior engineers on AI-based automation scripts, and participating in AI proof-of-concept projects. It also includes monitoring system health using AI-driven analytics and working with AI teams on new initiatives. The position is for new graduates with a background in Computer Science, Computer Engineering, or Data Science.

Visa is seeking a Senior Consultant Data Engineer to design, enhance, and build their Visa data token platform. The role involves full-stack development of real-time scoring services, RESTful APIs, and container-based distributed services, incorporating machine learning and deep learning technologies. Responsibilities include developing next-generation software, building end-to-end products with an emphasis on code quality, and driving innovation. The role requires expertise in big data engineering (Hadoop, Spark, Scala), Java, Spring Boot, React, containerization (Docker, Kubernetes), and experience in developing ETL processes and productizing AI/ML models.

The Senior Manager, VOCC VAS DPS Forward leads a 24x7 operations team responsible for real-time monitoring, support, and restoration of debit transaction processing. This role drives the adoption of AI, automation, and intelligent monitoring to reduce manual toil, prevent incidents, and improve response quality and speed. Success requires leadership, technical proficiency, and ITIL practices, with a focus on achieving availability targets above 99.999%.

Staff Software Engineer at Visa, focusing on integrating AI/ML models and LLMs into large-scale distributed production systems for fintech applications. Requires extensive Java and distributed systems expertise, along with experience in API development and data infrastructure.

Staff Software Engineer at Visa, focusing on integrating and serving LLMs at scale within a fintech environment. The role involves building intelligent APIs with AI/ML inference endpoints, utilizing vector databases for RAG, and understanding prompt engineering and model fine-tuning. This is a hands-on coding role with a significant focus on AI-assisted development tools and distributed systems.

Staff Software Engineer at Visa, focusing on integrating and serving LLMs at scale within a fintech environment. The role involves building intelligent APIs with AI/ML inference endpoints, understanding vector databases for RAG, and knowledge of prompt engineering and model fine-tuning. The engineer will spend 60-75% of their time coding and working with modern tools, including AI-assisted development and cloud services, to deliver secure, scalable, and high-quality technology solutions.

Staff Software Engineer at Visa focused on release coordination, DevOps, and security analysis, with a requirement for AI/ML experience. The role involves designing and developing microservices, implementing automation for build/test/deployment, ensuring security compliance, managing software releases, and maintaining service availability. It requires strong experience in CI/CD, scripting, Linux administration, and monitoring tools, with a focus on secure and robust application delivery within a regulated financial services environment.

Software Engineer at Visa focused on developing and deploying medium to complex solutions that process millions of transactions daily. The role involves designing, coding, testing, and maintaining payment products, contributing to enhancements, and ensuring code quality and performance. A key aspect is the utilization of GenAI tools to improve software development processes, including code generation, optimization, and testing, within a fast-paced agile environment.

Lead Software Engineer for Visa's Middleware Reliability Engineering team, focusing on automation, observability, and AI/ML integration for critical payment systems. Responsibilities include developing automation solutions, managing infrastructure as code, optimizing CI/CD pipelines, enhancing observability, and leading cloud-native initiatives. The role involves mentoring and driving DevOps best practices, with a specific emphasis on integrating AI/ML frameworks and chatbots to improve operational intelligence and tooling.

Staff Software Engineer for Visa AI as a Service (AIaS) platform, focusing on creating and maintaining new capabilities for AIaS while maturing platforms and products. The role involves developing distributed backend platforms and operationalizing AI/decision intelligence for Visa's consumers. Experience with data and model engineering pipelines, ML concepts, and productionizing ML models is beneficial.

This role leads a global team of operations professionals responsible for 24/7 real-time consumer payment applications and services. It involves operating large-scale, real-time, high-availability platforms in a mature, highly regulated environment. The role is focused on evolving the operational model by architecting automation, Generative AI, and AIOps into the operational foundation, moving towards fully orchestrated, automated ways of working for detection, triage, decision-support, and response. The role also includes site leadership responsibilities for the Basingstoke campus.