7 of 7 Distributed Computing Jobs in Hampshire

developers e.g. use of Git. Experience using SQL and working with databases. Comfortable working with a variety of data sources, both structured and unstructured and very large datasets using distributed computing (e.g. spark). Experience working with cloud technology, ideally Microsoft Azure and/or AWS. Proven track record of development and deployment of machine learning algorithms, including More ❯

scaling our operations in London. 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 OTPUs. This role involves rethinking how AI workloads are executed at speed and scale, focusing on designing and implementing software systems for distributed, low … latency inference across clusters. Responsibilities Design and build high-performance systems for running AI/ML workloads across distributed compute clusters Optimize for ultra-low latency and real-time inference at scale—profiling, tuning, and rewriting critical systems as needed Identify and resolve performance bottlenecks across the stack, from model execution and scheduling to hardware-level constraints Collaborate with … AI infrastructure, compute systems, and compiler tooling Skills & Experience 5+ years of experience building performance-critical systems in HPC, HFT, large-scale simulation, or AI infrastructure Deep understanding of distributed systems with a focus on real-time or near real-time data processing Strong programming skills in C++ and Python for performance-sensitive applications Hands-on experience with ML More ❯

scaling our operations in London. 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 scheduling. Whether it’s through compiler techniques, systems-level tuning, or custom runtime design, you … large-scale scientific compute, or 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 performance bottlenecks across the stack More ❯

the algorithm in the production environment. Develop machine learning models encompassing data from traffic management sensors and other data sources Experience working with large data sets, experience working with distributed computing a plus (Map/Reduce, Hadoop, Hive, Apache Spark, etc.) Develop advanced data reporting capabilities and data visualizations; combining multiple disparate data sources to gain detailed insights More ❯

Role: Oversee infrastructure operations, prioritising stability, system visibility, and efficient resource usage Take ownership of cloud environments (primarily AWS) , ensuring scalable, secure, and cost-effective architecture Lead and develop distributed engineering teams across platform, infrastructure, and data Build and maintain robust internal tooling and services that enhance developer workflows Promote a culture of automation and continuous improvement Shape and … knowledge of Postgres, Terraform, and CI/CD pipelines (e.g. GitHub Actions) Interest or experience in developer productivity tools and AI-assisted engineering Understanding of network systems, protocols, or distributed computing challenges What's on Offer ? Salary up to £125k + equity + bonus 100% remote from anywhere in the UK Unlimited holiday Company wide events and team More ❯

Role: Oversee infrastructure operations, prioritising stability, system visibility, and efficient resource usage Take ownership of cloud environments (primarily AWS) , ensuring scalable, secure, and cost-effective architecture Lead and develop distributed engineering teams across platform, infrastructure, and data Build and maintain robust internal tooling and services that enhance developer workflows Promote a culture of automation and continuous improvement Shape and … knowledge of Postgres, Terraform, and CI/CD pipelines (e.g. GitHub Actions) Interest or experience in developer productivity tools and AI-assisted engineering Understanding of network systems, protocols, or distributed computing challenges What's on Offer ? Salary up to £125k + equity + bonus 100% remote from anywhere in the UK Unlimited holiday Company wide events and team More ❯

Role: Oversee infrastructure operations, prioritising stability, system visibility, and efficient resource usage Take ownership of cloud environments (primarily AWS) , ensuring scalable, secure, and cost-effective architecture Lead and develop distributed engineering teams across platform, infrastructure, and data Build and maintain robust internal tooling and services that enhance developer workflows Promote a culture of automation and continuous improvement Shape and … knowledge of Postgres, Terraform, and CI/CD pipelines (e.g. GitHub Actions) Interest or experience in developer productivity tools and AI-assisted engineering Understanding of network systems, protocols, or distributed computing challenges What's on Offer ? Salary up to £125k + equity + bonus 100% remote from anywhere in the UK Unlimited holiday Company wide events and team More ❯