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- Tasks: Deploy and maintain cutting-edge AI/ML platforms in a dynamic educational environment.
- Company: Leading IT consulting firm transforming the UK education sector.
- Benefits: Competitive salary up to £82,500 plus excellent benefits.
- Why this job: Join a prestigious project and make a real impact in AI/ML technology.
- Qualifications: Experience with HPC, Ubuntu, Kubernetes, and NVIDIA technologies required.
- Other info: Permanent onsite role with opportunities for professional growth.
The predicted salary is between 43200 - 66000 £ per year.
Permanent Onsite at South Kensington/Waterloo
Salary: Up to £82,500 + Excellent Benefits
Available position: 2 positions
Our client, an IT consulting and 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. 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 updates/patches
- Deliver technical guidance to researchers and developers while engaging stakeholders to understand evolving requirements
- Create comprehensive documentation covering configuration, test integration and maintenance procedures, and troubleshooting guides
- Collaborate effectively with IT teams, third-party vendors, and internal specialists throughout implementation and BAU phases
- Strong experience deploying and supporting HPC environments for AI/ML workloads
- Extensive experience in Ubuntu server administration and 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
Senior Systems Engineer (AI/ML) employer: Computappoint
Contact Detail:
Computappoint Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Systems Engineer (AI/ML)
✨Tip Number 1
Network like a pro! Reach out to folks in the AI/ML space on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI/ML. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI/ML platforms. Practice explaining your past experiences and how they relate to the role you're applying for.
✨Tip Number 4
Don't forget to apply through our website! It streamlines the process and ensures your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior Systems Engineer (AI/ML)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Systems Engineer role. Highlight your experience with AI/ML platforms, Ubuntu Server, and Kubernetes. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI/ML and how your background makes you a perfect fit for this position. Let us know what excites you about working in the education sector.
Showcase Your Documentation Skills: Since strong documentation is key for this role, include examples of your previous work. Whether it's configuration guides or troubleshooting documents, we want to see your ability to communicate complex information clearly.
Apply Through Our Website: Don't forget to apply through the Computappoint website! It’s the best way for us to receive your application and ensure it gets the attention it deserves. 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’re well-versed in the technologies mentioned in the job description, like Ubuntu Server, Kubernetes, and NVIDIA GPU technologies. Brush up on your hands-on experience with AI/ML orchestration platforms, as you’ll likely be asked to discuss specific scenarios where you've deployed or supported these systems.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in HPC environments or during platform deployments. Think about times when you had to troubleshoot issues or implement updates, and be ready to explain your thought process and the outcomes.
✨Engage with Stakeholders
Since the role involves delivering technical guidance and understanding evolving requirements, practice how you would communicate complex technical concepts to non-technical stakeholders. Be prepared to discuss how you’ve collaborated with teams in the past to ensure everyone is on the same page.
✨Documentation is Key
Highlight your documentation skills by preparing to discuss how you create and maintain comprehensive guides for configuration, testing, and troubleshooting. Bring examples if possible, as this will demonstrate your attention to detail and commitment to knowledge transfer.
