6 of 6 Ubuntu Jobs in London

Kubernetes environment, including access controls, patching, and policy management. Key Requirements: Strong hands-on experience with Kubernetes in a production environment. UNIX/Linux (Ubuntu & Red Hat) Proficiency in infrastructure-as-code tools such as Terraform and configuration management tools like Ansible. Solid understanding of Linux system administration ...

Linux Auth, Active Roles) Deep knowledge of Entra ID, AD, Azure SSO, Conditional Access, JIT Access Infrastructure & Automation Automation with Ansible, Terraform, GitLab Linux (Ubuntu/Red Hat), Kubernetes, Docker VMware VCF, data centre management, backup/DR Networking & Security zScaler, ZTNA, WAN/LAN/WLAN, routing, load ...

backend systems Data & Real Estate Interfaces Build automated comparables engines Assist with financial modelling scripts What You Need Technical Strong Python Experience with Linux (Ubuntu), bash, SSH Understanding of GPUs, CUDA basics, or willingness to learn fast Experience with FastAPI, Flask or similar Basic networking knowledge (ports, tunnels, proxies ...

Loop systems. You understand how to mock sensor data and interact with hardware interfaces (EtherCAT, Ethernet, I2C, CAN). OS: Deep comfort with Linux (Ubuntu) environments. Nice-to-Have: Experience with robotics simulators (Gazebo, Unity, NVIDIA Isaac Sim). Knowledge of containerization (Docker) for consistent test environments. Basic electrical ...

live events - including solutions leveraging satellite, 4G/5G, and alternative connectivity platforms. Key Experience Required • Strong Linux systems engineering experience (Rocky, Debian, Ubuntu) • Automation with Ansible • Infrastructure as Code (Terraform) • Cloud platforms (AWS and/or GCP) • Observability & monitoring tooling • Experience designing and operating distributed, high-availability systems ...

prestigious academic institution. The role requires strong hands-on engineering expertise combined with solid consulting capabilities across AI/ML Engineering platforms, Ubuntu Server, NVIDIA Technologies (Run: AI, GPU Operator), Kubernetes containerisation, and High-Performance Computing (HPC) environments to ensure successful platform delivery and ongoing operational excellence. Key Responsibilities … Deploy and configure a complete AI/ML Ops platform, including Ubuntu OS, Kubernetes, NVIDIA GPU/Network Operators, and Run: AI orchestration Conduct knowledge transfer, installations, and validate platform performance against AI/ML development requirements Provide ongoing operational support and platform ownership, including monitoring, troubleshooting, and implementing ...