76 to 84 of 84 Distributed Computing Jobs in the UK

deploy robust infrastructure using hardware/software from vendors such as Dell, HPE, NVIDIA, Cisco, NetApp, and Juniper. Apply deep knowledge of high‐performance computing (HPC) and low‐latency networking to AI/ML solution design. Integrate automation tools (Terraform, Ansible, cloud‐native orchestration) to streamline deployment and management. … hands‐on experience in infrastructure architecture, systems engineering, or solution architecture. Proven track record with AI/ML infrastructure design (e.g., NVIDIA GPUs, distributed compute, high‐speed storage). Demonstrated understanding of data center operational constraints including power provisioning, rack planning, and cooling technologies. Technical Expertise: Deep knowledge ...

have experience with pipeline development, architecture and deployment. Key Responsibilities Recognised expert in Data Architecture, Data Modelling, Engineering, and data platform design. Experience utilising distributed and non-distributed compute architectures with strong proficiency in Python, SQL, Spark, and Scala. Experience architecting CI/CD frameworks with real-world ...

have experience with pipeline development, architecture and deployment. Key Responsibilities Recognised expert in Data Architecture, Data Modelling, Engineering, and data platform design. Experience utilising distributed and non-distributed compute architectures with strong proficiency in Python, SQL, Spark, and Scala. Experience architecting CI/CD frameworks with real-world ...

Oxford spinout using optical processing to accelerate large language models (LLMs) and other transformer-based AI systems. The team combines expertise in optical computing, machine learning, and physics. Lumai has already secured over $15 million in investment from leading deep-tech investors like Constructor Capital, IP Group, PhotonVentures … experiment tracking and model lifecycle management tools (MLflow, W&B, DVC, or similar) Solid understanding of containerisation (Docker) and orchestration (Kubernetes or Slurm) for distributed compute workloads Infrastructure-as-code mindset: Terraform, Ansible, or equivalent; CI/CD pipelines (GitHub Actions, Jenkins, or similar) Experience with hardware-accelerated compute ...

responsibilities. Key Responsibilities Help design and build Aalyria's centralized observability platform, integrating and scaling tools for metrics (e.g. Prometheus), logging (e.g. Loki), and distributed tracing (e.g. Tempo/OpenTelemetry). Define, implement, and manage a robust framework of Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error … blameless post-mortems. Required Qualifications 4+ years of experience in an SRE or platform engineering role, with a focus on observability for large-scale, distributed compute or network systems. Deep, hands-on expertise building, scaling, and managing observability platforms (e.g., Prometheus, Grafana, Loki/ELK, OpenTelemetry, Tempo/Jaeger ...

have experience with pipeline development, architecture and deployment. Key Responsibilities Recognised expert in Data Architecture, Data Modelling, Engineering, and data platform design. Experience utilising distributed and non-distributed compute architectures with stro... LFWQ1_UKTJ ...

have experience with pipeline development, architecture and deployment. Key Responsibilities Recognised expert in Data Architecture, Data Modelling, Engineering, and data platform design. Experience utilising distributed and non-distributed compute architectures with stro... WKCL1_UKTJ ...

currently working with an early-stage infrastructure company building high-performance distributed systems, with Rust at the core of the stack, who are looking for a Head of Engineering to lead the design, build, and scale of a genuinely differentiated systems architecture. This is a pivotal role reporting directly … right stage and shape both the technology and engineering culture of a high-performance infrastructure platform with significant upside. Responsibilities Own engineering across distributed systems, backend infrastructure, storage systems, APIs, and real-time data pipelines. Lead development of high-performance Rust-based services and distributed compute components. Drive ...

recommend data centre/colocation partners capable of supporting high-density GPU racks Define networking topology (InfiniBand/Ethernet fabric) to optimise for distributed training and inference workloads Liaise with hardware vendors, OEMs and data centre providers to validate specifications and negotiate technical terms Produce technical documentation and board … design, and data centre infrastructure Methodology/Protocols: Strong grasp of InfiniBand/RDMA networking, NVLink/NVSwitch topologies, and cluster interconnect design for distributed compute workloads Soft Skills: Confident operating at boardroom level, able to translate deep technical detail into commercial costing narratives; comfortable owning ambiguous, high-stakes ...