5 of 5 Permanent Slurm Workload Manager Jobs in the South East

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 ...

SolidWorks or RhinoCAD STEM degree It would be great if you also have: Understanding of Linux environments and High-Performance Computing (HPC) systems, including Slurm Understanding of advanced combat air, weapons or UAS (Uncrewed Air Systems) capabilities Experience within the defence sector and/or an understanding of survivability ...

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 ...

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 ...

implementing solutions that adhere to FAIR data principles (Findable, Accessible, Interoperable, Reusable)." - Experience architecting for High-Performance Computing (HPC) environments, including knowledge of workload schedulers (e.g., SLURM) and applying cloud-native patterns to scientific, batch-processing workloads. - Familiarity with scientific workflow management tools (e.g., Nextflow, Snakemake ...