1 to 25 of 40 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 ...

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 ...

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 ...

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 ...

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 ...

Need: At least 5+ years of professional experience in high performance computing (HPC), including parallel filesystems (e.g., Lustre, GPFS), batch systems (e.g., Slurm, Grid Engine), and high-performance network interconnects experience is a plus, but not required At least 5+ years of experience with Linux systems administration High proficiency ...

models Experience with GANs or VAEs Experience optimizing inference systems for production Our stack Python, PyTorch, CUDA DeepSpeed, distributed training & inference Sequence parallelism AWS, SLURM, Docker GitHub, CI/CD pipelines Who you are You are research-driven but outcome-focused You care about shipping, not just publishing ...

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 ...

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, Singularity ...

LDAP, NIS and DHCP. Experience with NFS/enterprise storage. FlexLM experience is desirable. Experience with Ansible, Puppet, Chef or Salt. Knowledge of Slurm, Grid Engine, LSF or similar is advantageous. #J-18808-Ljbffr ...

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 ...

allowance A monthly quality time allowance A track record of building tools that increase developer velocity for ML teamsExperience with multi-node cluster orchestration (Slurm, Ray, Kubernetes, or similar)Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JAX, AAAI, Nature, COLING, ACL, EMNLP)Experience ...

bioinformatics tools for genome assembly, annotation and variant analysis. Familiarity operating within Linux environments, including operating within HPC and/or cloud environments (e.g. SLURM, OCI). Experience applying machine learning methods to genomic and transcriptomic data, with an understanding of different ML approaches and their suitability for different ...

/reliable systems, Care about the experience of the people relying on your infrastructure. Nice to have/Beneficial HPC‐style job scheduling (Kueue, Slurm, MPI, or similar). Experience with large scientific or array datasets. Any background in photonics, semiconductors, EDA, or scientific computing. We are particularly interested ...

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 ...

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 ...

scale inference; multi-tenant serving or SLA-driven infrastructure; background at a hyperscaler, frontier AI lab or large-scale distributed inference system; Kubernetes/Slurm; interest in energy markets, grid systems or sustainability-focused computeBenefitsCompetitive salary and eligibility for equityBiannual bonus schemeFully expensed tech to match your needsPrivate health ...

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. Benefits Competitive salary and an equity sign-on bonus. ...

with vendor engineering teams to ensure seamless AI platform operations. You will design, deploy and manage large-scale GPU-accelerated clusters using NVIDIA GPUs, Slurm, InfiniBand and high-availability practices, while automating provisioning, monitoring, and security. #J-18808-Ljbffr ...

device inference, and public cloud. Define the patterns teams use for data pipelines, training and fine-tuning, model serving, and retrieval-augmented systems. Workload Placement and Portability: Establish the decision framework that determines where a given workload runs, weighing data gravity, sovereignty, latency, accelerator availability, and cost. Design … transit and routing design, DNS, private service endpoints, and hybrid identity and federation models. Experience architecting GPU compute for AI, including cluster orchestration (Kubernetes, Slurm, or equivalent), scheduling and multi-tenancy, accelerator selection, and high-performance interconnect (e.g., NVIDIA GPUs, CUDA, NCCL, InfiniBand/RoCE). Solid command ...

managing large‐scale HPC and GPU‐accelerated clusters, including NVIDIA based compute environments. Implementing and administering HPC scheduling and resource‐management systems (e.g., Slurm), including GPU partitioning, workload scheduling, and capacity planning. Architecting and optimising InfiniBand and Ethernet network topologies. Ensuring high availability and resilience through failover strategies ...

across on-premises accelerator clusters and cloud (GPU/CPU) for training and simulation workloads Drive infrastructure-as-code practices: containerisation, orchestration (Kubernetes/Slurm), and reproducible environment management Contribute to the internal developer platform: self-service tooling, documentation, and runbooks that raise engineering productivity across the company What … Experience with 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 ...

data-centre teams. Key Requirements Strong Platform/Infrastructure Architecture experience across compute, storage, networking and Linux. Expert-level Kubernetes architecture experience. Strong Slurm and Run experience - essential. Proven experience with GPU/HPC environments and large-scale AI platforms. Hands-on experience with NVIDIA HGX GB300/NVL72 … including NVLink, NVSwitch and Grace Blackwell architecture. Experience with NVIDIA RTX 6000 series GPU servers. Strong understanding of GPU workload scheduling, partitioning and sharing, including MIG, vGPU and time-slicing Strong understanding of InfiniBand, RoCE, Spectrum-X, GPUDirect RDMA/Storage and high-performance AI fabrics. Experience with Terraform ...