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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.
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 field and let them know you're on the lookout 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 include GitHub repositories, case studies, or even blog posts about your experiences. It’s a great way to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to AI/ML operations and be ready to discuss your hands-on experience with tools like Kubernetes and NVIDIA technologies.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
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 HPC environments, Ubuntu Server, and Kubernetes. 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 NVIDIA technologies. This gives us a clear picture of your hands-on experience and how you can contribute to our transformative project.
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 that gets right to the heart of your qualifications.
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 see what you bring to the table!
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 collaboration with various teams, practice how you would communicate technical concepts to non-technical stakeholders. Highlight your experience in understanding and adapting to evolving requirements.
✨Documentation is Key
Be prepared to discuss your approach to creating comprehensive documentation. Share examples of how you've documented configuration, maintenance procedures, and troubleshooting guides in previous roles.
