1 to 25 of 75 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 programming ...

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 ...

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. ...

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 ...

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 ...

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 ...

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 ...

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 ...

troubleshooting and systems integration skills● Excellent written and verbal communication abilities● Ability to work independently and collaboratively in a research environmentDesirable Skills● Experience with SLURM or other job scheduling systems● Experience with containerisation and virtualisation technologies● Knowledge of cloud computing platforms● Familiarity with scientific computing tools and AI/ ...

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 ...

scale distributed 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 ...

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 ...

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 ...

slow" needs a real root cause, not a restart. What you will do Own and evolve our HPC environment: cluster administration, job scheduling (e.g., Slurm/PBS/LSF), performance tuning, and capacity planning for compute-heavy engineering workloads. Experience with Entra ID Governance: Access Reviews, Identity Protection, Privileged ...

least one systems language (Go, Rust, or C++). Experience working with distributed compute or training systems (e.g., NCCL, PyTorch Distributed, Spark, Ray, Slurm). Familiarity with GPU telemetry systems such as NVML or DCGM and hardware‐level monitoring concepts. Demonstrated experience scaling systems from Proof‐of‐Concept ...

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 ...

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 ...

comfort in fast‐moving, under‐specified environments. Nice to have Distributed training experience (FSDP, DeepSpeed, Megatron, etc.). Cluster/orchestration experience (SLURM, Ray, Kubernetes, Kueue, Karpenter, Skypilot, etc.). Experience building reliable ML infrastructure, evaluation systems, or large‐scale data processing pipelines. Research experience in LLMs, agents, multimodal ...

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 ...