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- Tasks: Deploy and maintain cutting-edge AI/ML platforms in a dynamic educational project.
- Company: Leading IT services provider transforming the UK education sector.
- Benefits: Up to £82,500 salary, excellent benefits, and hybrid working model.
- Why this job: Join a prestigious project and make a real impact in AI/ML technology.
- Qualifications: Experience with HPC environments, Ubuntu, Kubernetes, and NVIDIA technologies required.
- Other info: Collaborative environment with opportunities for professional growth and development.
The predicted salary is between 66000 - 82500 £ per year.
AI/ML Platform Engineer (Senior Consultant) | Permanent position
- Location: Central London
- Hybrid model
- Salary: Up to £82,500 + Excellent Benefits
- Available position: 2 positions
Our client, a leading IT services provider, is seeking an experienced AI/ML Platform Engineer to support a transformative project within the UK education sector. You\’ll play a critical role in delivering and maintaining a cutting-edge AI/ML Operations platform for a prestigious academic institution, collaborating closely with IT teams, third-party vendors, and internal specialists to deploy a state-of-the-art high-performance computing environment (HPC). 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
- Shadow vendor installations, conduct knowledge transfer, and validate platform performance against AI/ML development requirements
- Provide ongoing operational support and platform ownership, including monitoring, troubleshooting, and implementing updates/patches
- Deliver technical guidance to researchers and developers while engaging stakeholders to understand evolving requirements
- Create comprehensive documentation covering configuration, maintenance procedures, and troubleshooting guides
- Collaborate effectively with IT teams, third-party vendors, and internal specialists throughout implementation and BAU phases
Required Qualifications & Experience:
- Strong experience deploying and supporting HPC environments for AI/ML workloads
- Strong Ubuntu server administration and extensive Kubernetes cluster management experience
- Hands-on experience with NVIDIA GPU technologies (GPU Operator) and AI/ML orchestration platforms (Run: AI highly desirable)
- Understanding of networking in containerised environments and experience supporting complex computing infrastructures
- Strong documentation and knowledge transfer capabilities
AI /ML Platform Engineer employer: Computappoint
Contact Detail:
Computappoint Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI /ML Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML space and let them know you're on the hunt for opportunities. Attend meetups, webinars, or industry events to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI/ML platforms. This could be anything from GitHub repositories to case studies. Having tangible evidence of your expertise can really set you apart.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to HPC, Kubernetes, and NVIDIA technologies. We recommend doing mock interviews with friends or using online platforms to practice your responses.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic resources and job listings that can help you land that AI/ML Platform Engineer role. Plus, it’s a great way to stay updated on new opportunities.
We think you need these skills to ace AI /ML Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI/ML Platform Engineer role. Highlight your experience with Ubuntu, Kubernetes, and NVIDIA technologies. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include specific projects where you've deployed AI/ML Ops platforms or worked with HPC environments. This gives us a clear picture of your hands-on experience and problem-solving skills.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and responsibilities. We appreciate straightforward communication!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Computappoint
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of AI/ML platforms, especially around Ubuntu Server, Kubernetes, and NVIDIA technologies. Be ready to discuss your hands-on experience and how you've deployed similar environments in the past.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in HPC environments. Think about times when you had to troubleshoot or implement updates, and be ready to explain your thought process.
✨Engage with Stakeholders
Since this role involves collaborating with various teams, practice how you would communicate technical concepts to non-technical stakeholders. Highlight your experience in understanding evolving requirements and how you’ve adapted solutions accordingly.
✨Documentation is Key
Be prepared to discuss your approach to creating comprehensive documentation. Share examples of how your documentation has helped in knowledge transfer and operational support, as this will show your attention to detail and commitment to excellence.
