HPC Systems Administrator

Locations: UK, London (must be willing to travel to client sites throughout the UK on an ad hoc basis), Key Responsibilities:

• Design, deploy, and manage HPC infrastructures including GPU clusters and parallel computing environments.Support AI model training platforms by maintaining compute resources, optimizing scheduling, and ensuring compatibility with AI frameworks and libraries. Monitor, analyse, and fine tune performance metrics addressing bottlenecks or inefficiencies. Develop and maintain automation scripts and tools (e.g., PowerShell, Python, Bash) to streamline operational tasks, monitoring, and reporting. Document architecture, configurations, processes, and resolutions for compliance, knowledge transfer, and continuous improvement. Participate in root cause analysis (RCA) and post-incident reviews for compute or HPC-related incidents, implementing preventive measures as needed.
  
  Required Skills: Expertise in an HPC environment, including GPU cluster administration (e.g., NVIDIA, AMD) and workload schedulers such as SLURM or PBS. Proficiency with AI model training workflows and experience supporting popular AI/ML frameworks (e.g., TensorFlow, PyTorch, CUDA). Solid understanding of networking, storage, and server platforms in both Windows and Linux environments. Advanced analytical, troubleshooting, and performance tuning skills, with the ability to diagnose and resolve complex compute and HPC issues. Experience with automation, monitoring platforms, and scripting languages (e.g., Python, PowerShell, Bash) to enhance operational efficiency. Strong communication and collaboration skills, with a track record of working effectively across technical and non-technical teams. Familiarity with compliance, data security, and best practices for compute and HPC environments.
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• Relevant certifications such as ITIL, NVIDIA DLI, Dell EMC, etc.
AI Skills Accenture expects all of its people to utilise AI effectively in their day-to-day work. The following capabilities are desirable for all roles:
• Understanding of core AI concepts and how they apply within business and delivery contexts.
• Proficiency in AI-powered workplace tools (such as Microsoft 365 Copilot) to create, analyse, and refine content, automate repetitive tasks, summarise information, and improve workflow efficiency.
• Awareness of Responsible AI principles and adherence to enterprise AI governance, standards, and approved usage guidelines.
• AI Training and/or Certifications, or a commitment to ongoing learning to maintain and grow AI proficiency.
  
  Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and
build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Salary: Competitive salary and package (Depending on level of experience), Salary: Competitive salary and package (Depending on level of experience) Accenture are partnering with scaled UK AI compute pioneers to lead the charge on next-generation infrastructure for sovereign AI. To support this endeavor, we're building a high-performance compute operations team in London. Our work will be sensitive, secure and on the most up-to-date high density compute stacks available.