1 to 25 of 47 Slurm Workload Manager Jobs in the UK

cost-efficiency. Your Impact Provision 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 ...

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 ...

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 ...

scientific computing; software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps); container‐ization and orchestration (Docker, Kubernetes, Slurm); writing pipelines and experiment environments, including running experiments in pipelines in a systematic way. What we offer Build what actually matters Help shape ...

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. ...

Strong systems fundamentals: Linux, networking (including domain specific NVLink and InfiniBand), storage I/O, profiling and performance optimization Production experience with Kubernetes and SLURM for job orchestration on GPU clusters Proficiency in Python and ML frameworks (PyTorch strongly preferred) Experience with cloud GPU infrastructure; ideally CoreWeave or similar ...

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 ...

code quality. Some/most of the following should support the skills above: Experience of Cloud computing or HPC job management (such as Slurm). Identity and authorization flows such as OIDC/OAuth2. Deploying containerized services on Linux (such as Podman). Infrastructure as code (such as Ansible ...

technical direction of the company from day one. What we’re looking for 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 ...

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 ...

Python.Proficiency with modern data science toolchains, including Jupyter, pandas, NumPy, scikit‐learn, with applied machine‐learning experience.Solid understanding of parallel computing frameworks such as Slurm or equivalent technologies.Strong background in quantitative analysis, including mathematical modelling, statistics, regression, and probability theory.Bachelor’s or Master’s degree in Computer Science, Mathematics ...

training or HPC systems. Deep familiarity with JAX internals, distributed training libraries, or custom kernels/fused ops. Experience with multi-node cluster orchestration (Slurm, Ray, Kubernetes, or similar). Comfort debugging performance issues across CUDA/NCCL, networking, IO, and data pipelines. Experience working with containerized environments (Docker ...

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 ...

Python, Bash, Go or similar scripting experience. Experience supporting production infrastructure. Familiarity with automation and configuration management tools. Exposure to HPC technologies such as Slurm, Lustre or GPFS is advantageous. Location City of London (on-site) Benefits Work with cutting‐edge Linux infrastructure and distributed systems. Solve complex technical ...

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 ...

+ years working on large‐scale ML codebases. Hands‐on with PyTorch, JAX or TensorFlow; comfortable with distributed training (DeepSpeed/FSDP/SLURM/K8s). Experience in deep learning, NLP or LLMs; bonus for CUDA or data‐pipeline chops. Strong software‐design instincts: testing, code review ...

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 ...

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/… Learning Platforms Large Language Models (LLMs) Agentic AI AI Platform Architecture Inference Serving Programming & Automation Python Bash PowerShell Automation Frameworks Infrastructure Automation HPC Technologies Slurm PBS Bright Cluster Manager RDMA InfiniBand MPI Distributed File Systems Customer & Consulting Solution Architecture Technical Consulting Pre-Sales Executive Presentations Customer Workshops Technical ...

will architect and optimize distributed training across multiple GPUs and machines in AWS, eliminate bottlenecks in the data path, and manage cluster orchestration with Slurm and Kubernetes. The role requires deep PyTorch expertise, familiarity with transformer models, and experience deploying production AI systems. #J-18808-Ljbffr ...

ensure seamless AI platform operations. You will design, deploy, and manage large-scale HPC and GPU-accelerated clusters (NVIDIA). You will implement Slurm-based scheduling, optimize InfiniBand/Ethernet networks, and lead automation, monitoring, and incident response across multi-vendor stacks #J-18808-Ljbffr ...

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 ...

RoCEv2 networking. Develop infrastructure solutions using NVIDIA Blackwell, B300, GB300 and GB200 platforms. Design both bare-metal and Kubernetes-based GPU environments. Work with Slurm, Kubernetes, NVIDIA GPU Operator, NCCL and GPUDirect. Design high-performance storage solutions for AI workloads. Lead technical discussions with CTOs, AI leaders and infrastructure ...

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 ...