5 of 5 Permanent Low Latency Jobs in Scotland

strategic global initiative focused on transforming the firm’s inventory management platforms . In this pivotal role, you will design and implement scalable, low-latency, high‐performance services that underpin critical functions including funding, liquidity, and regulatory reporting . You will contribute to the evolution of our microservices … unique opportunity to influence a key platform used across Markets, Treasury, Liquid Financing, Operations, and Regulatory Reporting . Key Responsibilities Architect, design, and implement low-latency server-side applications using Java and Spring Boot. Build solutions using event-driven microservices , REST APIs, and integration frameworks such as Apache ...

strategic global initiative focused on transforming the firm's inventory management platforms . In this pivotal role, you will design and implement scalable, low-latency, high-performance services that underpin critical functions including funding, liquidity, and regulatory reporting . You will contribute to the evolution of our microservices … unique opportunity to influence a key platform used across Markets, Treasury, Liquid Financing, Operations, and Regulatory Reporting . Key Responsibilities Architect, design, and implement low-latency server-side applications using Java and Spring Boot. Build solutions using event-driven microservices , REST APIs, and integration frameworks such as Apache ...

using frameworks like vLLM, Ray Serve, and modern PyTorch Distributed systems. Scalable Model Serving Infrastructure : Develop and evaluate frameworks that enable efficient multi-tenant, low-latency, and fault-tolerant AI serving across distributed environments. Research and prototype new techniques for cache sharing, data locality, and resource orchestration ...

Europe. The Role Design, build and own end to end data pipelines supporting real time and batch analytics Work on high volume, low latency data use cases with a strong focus on reliability and scalability Develop production grade data solutions using software engineering best practices such ...

inference pipelines Improve key-value cache efficiency and memory scheduling Identify bottlenecks and enhance system scalability using systematic performance analysis AI Serving Infrastructure Develop low-latency, multi-tenant, fault-tolerant model serving systems Work on areas such as cache sharing, data locality, and cluster scheduling Prototype and evaluate ...