4 of 4 Slurm Workload Manager Jobs in the City of London

Python Developer

Hiring Organisation
Ncounter Technology Recruitment
Location
City of London, London, United Kingdom
Linux environment. - Experience in building automation tools and managing system configurations. - Knowledge of C++, KDB/q, and experience with technologies like Slurm, Airflow, Kafka, or AMPS. - Background in enhancing system stability, scalability, and performance while conducting root cause analyses to resolve incidents efficiently. - Observability skillset, monitoring and analysis ...

Python Developer Backend

Hiring Organisation
Ncounter LTD
Location
City of London, London, United Kingdom
Employment Type
Permanent
Linux environment. - Experience in building automation tools and managing system configurations. - Knowledge of C++, KDB/q, and experience with technologies like Slurm, Airflow, Kafka, or AMPS. - Background in enhancing system stability, scalability, and performance while conducting root cause analyses to resolve incidents efficiently. - Observability skillset, monitoring and analysis ...

Infrastructure Specialist – Linux, HPC, Infrastructure & Storage

Hiring Organisation
Alexander Ash Consulting
Location
City of London, London, United Kingdom
Windows system administration experience. Knowledge of backup, disaster recovery, and monitoring tools. Scripting and automation skills (Python, PowerShell, Bash, Ansible, Terraform). Experience with workload schedulers (e.g., SLURM, PBS) and AI/ML frameworks (TensorFlow, PyTorch) is a plus. Excellent analytical, troubleshooting, and collaboration skills. Qualifications: Relevant certifications ...

Staff Software Engineer

Hiring Organisation
Motive Group
Location
City of London, London, United Kingdom
layer for one of the most advanced AI compute environments in the world. Your work will involve: Designing core platform services for cluster provisioning, workload orchestration, and resource management APIs. Building integrations with schedulers (Kubernetes, Slurm) and container runtimes for reliable, high-performance GPU workloads. Developing automation ...