1 to 25 of 26 Slurm Workload Manager Jobs in the UK

AlertManager).Experience with a variety of database platforms (e.g., PostgreSQL, ClickHouse, MSSQL, Redis, FoundationDB).Familiarity with specific middleware (e.g., Kafka, Consul), HPC schedulers (e.g., Slurm), Kubernetes, or workflow orchestrators (e.g., Airflow, Prefect).Experience with on-premise deployments of development tools like GitLab, Artifactory, CICD, or JupyterHub.Knowledge of other programming ...

configurations for the Enterprise IT team. Key Responsibilities HPC Management: Oversee the health and performance of our on-premises HPC cluster ( Bright Computing/SLURM ). Optimise job scheduling and resource allocation across mixed CPU and GPU nodes for computational chemistry and ML applications. DevOps & Container Orchestration: Lead … Linux (RHEL) and SELinux security policies. DevOps: Strong experience with GitLab CI/CD and container orchestration (Docker Swarm). HPC Stack: Proficiency in SLURM workload management and Bright Computing cluster tools. Storage & Identity: Experience with NFS, enterprise storage (EMC2), and managing UID/GID/SID mappings ...

Gitlab, Artifactory or Docker,Experience with infrastructure automation and configuration management, such as Ansible and Terraform,Experience with HPC and orchestration technologies, such as Slurm or Kubernetes,Experience with Databases and Observability systems, such as Elasticsearch, Datadog, Prometheus, PostgreSQL. ...

parallel and 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-LM, or equivalent … ArgoCD) for 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 ...

pipelines ML infrastructure expertise- experiment tracking, model management, and deployment Strong Python skills- experience with PyTorch, JAX, or similar frameworks Platform engineering- Docker, Kubernetes, Slurm, and distributed systems CI/CD knowledge- automating testing, validation, and deployments Performance optimisation- profiling and benchmarking AI workloads Infrastructure as Code- Terraform, Ansible ...

titles matter less than experience. We're particularly interested in people with experience in:Large-scale distributed training.PyTorch and modern deep learning frameworks.Kubernetes, Slurm or GPU orchestration platforms.AWS and specialist GPU cloud providers.High-performance computing and distributed systems.Training optimisation, memory management and networking.MLOps tooling, CI/CD and experimentation ...

more of the following programming languages: C++, Python, Cuda, or Bash.- Experience in architecting an HPC platform with scheduling middleware (e.g. Slurm, Torque, Symphony or GridServer) and in deployment, tuning and management of HPC technologies in a multi-user environment.- High level understanding of the underlying infrastructure platform ...

agency engineer who thrives in early stage startup environments and prefers broad systems ownership over narrow specialisation.Technical Expertise: Strong production background with AWS, Kubernetes, Slurm, PyTorch, and distributed training frameworks. Deep hands-on experience with GPU compute optimisation, cluster scheduling, and high performance networking is essential.Relevant Background: Experience ...

reliability, and cost-efficiency.Your ImpactProvision and manage cloud-native AI/ML infrastructure utilising Kubernetes, Docker, and GPU orchestration frameworks (e.g., NVIDIA GPU Operator, Slurm, or Ray).Automate core platform infrastructure using Infrastructure as Code (IaC) tools like Terraform, Helm, and Ansible.Optimise GPU compute workloads, high-speed networking … from individuals. Anaplan does not: Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team ...

This company is on the hunt for HPC Engineers to power their 25 Petabyte system.... Sound good? Well there's more! Imagine working with Slurm clusters and GPFS storage, all while being an integral part of groundbreaking translational research. You will work in a dynamic team of five, where ...

throughput, and ensuring training is as efficient and cost-effective as possible. You'll also play a critical role in managing cluster orchestration with Slurm and Kubernetes while helping evolve the platform to support next-generation GPU infrastructure and specialised compute providers. This is an opportunity to work across ...

will eliminate bottlenecks in the data path to ensure training is fast and as capital efficient as possible alongside managing cluster orchestration using slurm and Kubernetes while preparing to expand into specialised GPU providers. And finally you will master the stack from pytorch based learning libraries to complex data ...

workloads.Exposure to multi-tenant serving or SLA-driven infrastructure.Background at a hyperscaler, frontier AI lab, or large-scale distributed inference system.Familiarity with Kubernetes/Slurm for cluster orchestration.Interest or experience in energy markets, grid systems, or sustainability-focused compute.BenefitsCompetitive salary and an equity sign-on bonus.Biannual bonus scheme.Fully expensed ...

human-centric generationFamiliarity with world/interactive modelsExperience with GANs or VAEsExperience optimizing inference systems for productionOur stackPython, PyTorch, CUDADeepSpeed, distributed training & inferenceSequence parallelismAWS, SLURM, DockerGitHub, CI/CD pipelinesWho you areYou are research-driven but outcome-focusedYou care about shipping, not just publishingYou can explore multiple ideas quickly ...

public cloud platforms. Infrastructure as Code using Terraform and Ansible. Python, Bash, and PowerShell scripting. Kubernetes and container orchestration. HPC cluster management platforms including Slurm, PBS, or Bright Cluster Manager. High-performance networking technologies including RDMA and InfiniBand. MPI and distributed file systems. Cloud-native architectures. AI/… Large Language Models (LLMs) Agentic AI AI Platform Architecture Inference Serving Programming & AutomationPython Bash PowerShell Automation Frameworks Infrastructure Automation HPC TechnologiesSlurm PBS Bright Cluster Manager RDMA InfiniBand MPI Distributed File Systems Customer & ConsultingSolution Architecture Technical Consulting Pre-Sales Executive Presentations Customer Workshops Technical Enablement AI Transformation Strategy Cloud Adoption ...

customer-facing environment.Desirable ExperienceExperience in one or more of the following areas would be advantageous:Cluster management platforms such as Bright Cluster Manager, HPE Performance Cluster Manager (HPCM) or Cray Systems Manager (CSM).SLURM or PBS Pro job schedulers.High-performance networking technologies such as InfiniBand or Slingshot.Parallel ...

scalable engineering solutions.Partner with centralised infrastructure teams to design and deliver high-performance compute environments across AWS and on-premises platforms, including GPU infrastructure, Slurm clusters, and migration from ad hoc research workflows.Optimise LLM training and inference workloads, supporting research and product teams in maximising performance, scalability, and reliability … NVIDIA Nsight, DCGM, and related ecosystem technologies.Strong background in AWS cloud services, high-performance computing, distributed systems, containerised environments, and infrastructure automation.Experience with workload orchestration technologies such as Slurm, Kubernetes, Ray, or equivalent distributed compute frameworks.Demonstrated success bridging research and production environments, enabling rapid experimentation while maintaining operational ...

hybrid working model, required onsite 3 days a week. Experience for the Build Engineer includes: Software development with Python Modern build systems, e.g. Bazel Workload management, e.g. Slurm, LSF or SGE Infrastructure as code or IAC, e.g. Ansible or Terraform Containerisation, e.g. Docker Desired: Experience supporting silicon ...

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 ...

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 ...

strong understanding of Linux operating systems• Experience with grid scheduling and compute orchestration for real-time compute management at scale, including technologies such as SLURM• Strong understanding of event-driven architecture and experience with messaging and caching technologies such as Kafka, Solace, Pulsar, Memcache, and Redis• Experience building … scale real-time portfolio analytics tools, cloud platforms, containerization technologies such as Docker and Kubernetes, or multi-threaded C++ is a plusRecruiter:Ruby KazmiHiring Manager:Shashank GiriDepartment:Information Technology ...

controllers — so it stays responsive as object counts and node counts grow by orders of magnitude. And we build the core cluster services every workload depends on, like service discovery, so they hold up under the same pressure.We make sure the control plane is fast, correct, and always available. … Anthropic's accelerator fleets, including custom scheduling plugins and policies for gang scheduling, topology awareness, and preemptionScale the Kubernetes control plane (apiserver, etcd, controller-manager) to support clusters far beyond typical limits, and find the next bottleneck before it finds usDesign, build, and operate core cluster services such ...

center systems. You'll work on low-level performance engineering for large-scale compute clusters, helping Fuse build the software layer that ties GPU workload behaviour to energy availability and grid demand.The OpportunityDemand for high-performance compute capacity across the markets we operate in significantly outpaces what … multi-node scaling using NCCL, MPI, or similar communication libraries.Work with data center infrastructure teams on power capping, dynamic voltage/frequency scaling, and workload scheduling strategies that reduce energy cost and carbon intensity.Collaborate with ML/systems engineers to integrate custom kernels into training/inference pipelines.Benchmark against ...

NVSwitch, InfiniBand and RoCE. Designing high-performance networking and storage environments. Supporting both bare-metal and Kubernetes-based deployments. Working with technologies such as Slurm, Kubernetes, NVIDIA GPU Operator and NCCL. Supporting technical sales opportunities and major customer engagements. Running technical workshops with senior customer stakeholders. Supporting RFP/… Experience with Blackwell, HGX, DGX, NVLink/NVSwitch, InfiniBand or RoCE would be highly advantageous. Were also interested in people with experience across: Kubernetes Slurm NVIDIA GPU Operator NCCL RDMA/GPUDirect High-performance storage GPU cluster networking HLD/LLD production Technical pre-sales and customer-facing architecture ...

operation of high performance storage services, supporting both internal workloads and external collaboration. The environment includes large scale HPC clusters, Linux based systems, workload schedulers such as Slurm, networking with Infiniband and parallel file systems such as GPFS. Experience with high performance storage at petabyte scale is particularly ...