4 of 4 Performance Tuning Jobs in Scotland

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 architecture , drive SAFE … agile processes. Work closely with cross-functional teams across regions to support funding, liquidity, and regulatory use cases. Ensure solutions meet high standards of performance, accuracy, completeness, and timeliness. What We're Looking For Essential Experience Extensive hands-on experience with Java , low-latency server-side engineering. Experience with ...

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 architecture , drive SAFE … agile processes. Work closely with cross-functional teams across regions to support funding, liquidity, and regulatory use cases. Ensure solutions meet high standards of performance, accuracy, completeness, and timeliness. What We’re Looking For Essential Experience Extensive hands-on experience with Java , low-latency server-side engineering. Experience with ...

system designs into deployable, real-world technologies. We are seeking Systems Research Engineers with a deep passion for computer systems, distributed AI infrastructure, and performance optimization. These roles are ideal for recent PhD graduates or exceptional BSc/MSc engineers looking to build research-driven experience in Operating Systems … emerging AI and data-centric workloads. Drive modular design and scalability across GPU, and NPU clusters, building highly efficient serving and scheduling systems. Performance Optimization & Profiling : Conduct in-depth profiling and performance tuning of large-scale inference and data pipelines, focusing on KV cache management, heterogeneous memory ...

Systems Research Engineer position: Architect and implement distributed system components for AI workloads across CPU, GPU, and NPU clusters. Conduct in-depth profiling and performance tuning of inference pipelines, focusing on KV cache management. Develop low-latency, fault-tolerant AI serving frameworks using vLLM, Ray Serve, and PyTorch … publications in top-tier conferences. Keywords: Systems Research Engineer/Distributed Systems/AI Infrastructure/LLM Serving/vLLM/KV Cache/Performance Optimization/Machine Learning Systems/C++/Python/Ray Serve/PyTorch Distributed/Cloud Infrastructure If you are interested in this ...