6 of 6 Permanent Distributed Computing Jobs in Gloucestershire

multimodal information processing. Experience with dataset collection and improvement strategies. Familiarity with knowledge graphs and their applications. Experience handling large-scale datasets and using distributed computing frameworks like Databricks or Spark. Background in insurance or cybersecurity. Understanding of data privacy regulations such as GDPR and CCPA. Salary & Benefits More ❯

regular system updates, patches, and security enhancements across supported environments. • Stakeholder Collaboration : Work directly with research staff to understand technical needs and deliver practical computing solutions tailored to their work. • Infrastructure Design : Design, implement, and maintain cloud-native and containerised infrastructure, with a focus on ML/AI research … Develop and maintain CI/CD pipelines to optimise the deployment and integration of research software. Essential Skills/Experience : • Proven experience managing enterprise computing platforms in Kubernetes environments. • Strong Linux and Windows system administration expertise. • Familiarity with high-performance computing (HPC) clusters and distributed computing More ❯

regular system updates, patches, and security enhancements across supported environments. • Stakeholder Collaboration : Work directly with research staff to understand technical needs and deliver practical computing solutions tailored to their work. • Infrastructure Design : Design, implement, and maintain cloud-native and containerised infrastructure, with a focus on ML/AI research … Develop and maintain CI/CD pipelines to optimise the deployment and integration of research software. Essential Skills/Experience : • Proven experience managing enterprise computing platforms in Kubernetes environments. • Strong Linux and Windows system administration expertise. • Familiarity with high-performance computing (HPC) clusters and distributed computing More ❯

depth knowledge of NLP techniques, including tokenisation, embeddings, transformers, and attention mechanisms. Good statistical/data skills, especially with large-scale data processing and distributed computing. Desirable qualifications include: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related fields. Experience with cloud platforms such More ❯

Our work environment rewards innovation, speed, and bold thinking. The role We’re hiring Senior and Staff Software Engineers to build the high-performance computing infrastructure that powers our Optical Tensor Processing Units (OTPUs). This isn’t just about scaling models—it’s about rethinking how AI workloads … are executed at speed and scale. You’ll lead the design and implementation of software systems that run distributed, low-latency inference across clusters. You’ll work closely with hardware and ML teams to optimise every layer of the stack—from model representation and execution to data movement and … AI infrastructure at serious scale, we’d love to talk. Responsibilities Design and build high-performance systems for running AI/ML workloads across distributed compute clusters Optimise for ultra-low latency and real-time inference at scale—profiling, tuning, and rewriting critical systems as needed Identify and resolve More ❯

Our work environment rewards innovation, speed, and bold thinking. The role We’re hiring Senior and Staff Software Engineers to build the high-performance computing infrastructure that powers our Optical Tensor Processing Units (OTPUs). This isn’t just about scaling models—it’s about rethinking how AI workloads … are executed at speed and scale. You’ll lead the design and implementation of software systems that run distributed, low-latency inference across clusters. You’ll work closely with hardware and ML teams to optimise every layer of the stack—from model representation and execution to data movement and … AI infrastructure at serious scale, we’d love to talk. Responsibilities Design and build high-performance systems for running AI/ML workloads across distributed compute clusters Optimise for ultra-low latency and real-time inference at scale—profiling, tuning, and rewriting critical systems as needed Identify and resolve More ❯