76 to 89 of 89 Distributed Computing Jobs in the UK

architecture, system design and development of complex engineering or scientific software systems. Technological breadth across potential development languages and platforms including desktop, web, and distributed computing which may include the cloud. A proven ability to design scalable and extensible architectures; develop cloud infrastructure and distributed systems … time limit or sponsorship. A highly competitive salary is on offer, with further benefits anticipated in line with company growth. Keywords: CAE systems, desktop, distributed, cloud, architect, senior software engineer, senior software developer, Claude, Codex, server-side, front end, full stack. Another top job from ECM, the high-tech ...

interact with information. We seek versatile engineers who can lead on high‐impact projects, shape product directions, and push the boundaries of AI, distributed computing, and large‐scale systems. You will design, develop, test, deploy, maintain, and enhance software solutions, while managing priorities and delivering results across cross ...

strong plus). Knowledge of institutional encodings (FIX, SBE) and low latency messaging (e.g. Aeron, 29West). Familiarity with fault tolerant, high availability, distributed computing. Crypto/digital asset experience or genuine curiosity about the space. A right to work in the UK without sponsorship. Find out more ...

services, advancing multi-objective optimisation while working with other Senior and Staff Data Scientists on decisioning systems. You will collaborate with product stakeholders, apply distributed computing, and mentor the team to improve feature performance using explainability methods. #J-18808-Ljbffr ...

patterns, data quality, and schema evolution. Workflow orchestration at scale - designing and operating multi-step automated pipelines with retries, observability, and graceful failure handling. Distributed systems fundamentals - you understand how things break at scale: eventual consistency, idempotency, backpressure, job scheduling, and failure modes in distributed compute and storage. … training jobs run, how model artifacts are managed, and what makes an evaluation pipeline trustworthy; you\'ve worked alongside or directly supported ML researchers. Distributed compute frameworks - experience with large-scale parallel data processing, whether for data transformation, model training, or evaluation. Domain knowledge in robotics or embodied ...

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 ...