9 of 9 Slurm Workload Manager Jobs in the UK

environment. This is not a hybrid/remote role and will require full-time site attendance. Key Responsibilities: Assist in managing HPC clusters utilising Slurm workload manager. Perform entry-level system administration tasks on RHEL and other Linux-based systems under guidance. Help support and maintain license servers … Linux system administration. Familiarity with at least one scripting language (e.g., Bash, Python). Interest in high-performance computing and willingness to learn Slurm, xCAT, and Ansible. Strong problem-solving skills and attention to detail. Good communication and collaboration skills. Ability to work independently with mentorship and as part ...

infrastructure-as-code skills The ability to get productive quickly in a small, collaborative team Useful extras: Lustre, Ceph, Weka or PEAK:AIO storage; Slurm or LSF; Python scripting. The details Rate: £500 to £600 per day, Outside IR35 Duration: 3 months, with scope to extend Start: ASAP Location ...

large-scale Linux environments, ensuring high availability, performance, security, and resilience. Architecting and supporting High Performance Computing (HPC) platforms, including compute, storage, networking, workload scheduling, and user environments. Designing, deploying, and managing container and orchestration platforms to support modern application delivery. Acting as a Linux Infrastructure Solutions Architect, driving … platform technologies. What you'll bring: Extensive experience administering enterprise Linux environments (RHEL, Rocky Linux, Ubuntu, or equivalent). Strong knowledge of HPC infrastructure, workload management ideally using Slurm, and performance optimisation. Proven experience designing and delivering Linux infrastructure and platform architectures. Strong understanding of Linux security, virtualisation ...

high-throughput file systems (e.g. Everpure, WEKA, VAST, NetApp) sized for training and checkpointing workloads. AI Software, MLOps & Generative AIOrchestration & containers: Kubernetes, Docker, Slurm, Run:ai or equivalent GPU scheduling platforms. ML frameworks: PyTorch and TensorFlow at a working, hands-on level. Distributed training: Horovod, DeepSpeed, Megatron … continuous, declarative platform delivery. Pipeline orchestration: Kubeflow Pipelines, Apache Airflow, or Argo Workflows to orchestrate multi-stage training, fine-tuning, and inference pipelines. Cluster & workload scheduling: Slurm, Run:ai, and NVIDIA Base Command Manager for GPU job scheduling; Kubernetes-native GPU scheduling including device plugins ...

determinism when chasing a timing or interleaving bug, rather than for more logging. Depth in the scheduling and workflow landscape - Temporal, Hatchet, Airflow, Slurm, Postgres-backed queues - and the judgement to borrow from it rather than reinvent. A track record of pinning down failures that others could not. ...

Linux system administration. Familiarity with at least one scripting language (e.g., Bash, Python). Interest in high-performance computing and willingness to learn Slurm, xCAT, and Ansible. Strong problem-solving skills and attention to detail. Good communication and collaboration skills. Ability to work independently with mentorship and as part … week. No hybrid/remote working option. Internship or academic experience in a research computing or HPC environment. Exposure to job schedulers (e.g., Slurm, LSF). Familiarity with version control systems (e.g., Git). Coursework or projects involving distributed systems, networking, or parallel computing. Understanding of basic cybersecurity concepts. ...

land service-led AI solutions. Lead integration of compute, storage, networking, the AI software stack (CUDA, ROCm, Triton, NIM, NVIDIA AI Enterprise, Run:ai, Slurm, Kubernetes/Kubeflow) and managed-service operating models across multiple domains, delivery units and geographies. Build business cases, TCO and unit-economics models (cost … tree topologies. Working knowledge of the AI software and orchestration stack: CUDA, cuDNN, NCCL, ROCm, Triton Inference Server, NIM, vLLM, TensorRT-LLM, Slurm, Kubernetes (with GPU Operator), Kubeflow, Run:ai, MLflow and NVIDIA AI Enterprise. Familiarity with datacenter facilities engineering for AI workloads: high-density power, liquid cooling ...

approach: you like working with the people who use the systems Bonus points for: parallel or high-availability storage (Lustre, Ceph, Weka, PEAK:AIO), Slurm or LSF, and Python scripting. Why it’s worth a look Access to the latest AI tooling, and encouragement … approach: you like working with the people who use the systems Bonus points for: parallel or high-availability storage (Lustre, Ceph, Weka, PEAK:AIO), Slurm or LSF, and Python scripting. Why it’s worth a look Access to the latest AI tooling, and encouragement ...

parallel file systems, object storage, and tiered storage Provide technical leadership and oversight to engineering and operations teams Lead performance benchmarking, capacity planning, and workload modelling activities Identify and resolve system bottlenecks to ensure optimal throughput and scalability Establish standards, reference architectures, and best practices across HPC environments Collaborate … with internal stakeholders and external vendors to align infrastructure with evolving business needs Support the development of workload orchestration strategies using tools such as SLURM and Kubernetes The ideal candidate would have: Strong background in high-performance computing environments and infrastructure design Experience working with open-source technologies ...