1 to 25 of 37 Slurm Workload Manager Jobs in London

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. ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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. ...

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 ...

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 ...

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 … 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 ...