Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Deploy and manage 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: Onsite role in Central London with opportunities for professional growth.
The predicted salary is between 66000 - 82500 £ per year.
Location: Central London
Onsite: 5 days a week (South Kensington / Waterloo)
Salary: Up to £82,500 + Excellent Benefits
Available positions: 2
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 will 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
Required Qualifications & Experience:
- 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
To be considered, please ensure you complete your application on the Computappoint website. Services offered by Computappoint Limited are those of an Employment Business and/or Employment Agency in relation to this vacancy.
Senior System Engineer (AI/ML) in London employer: Computappoint
Contact Detail:
Computappoint Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior System Engineer (AI/ML) in London
✨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 hunt for a Senior System Engineer role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can confidently discuss your experience with Ubuntu, Kubernetes, and NVIDIA technologies. We want you to shine when it comes to showcasing your hands-on engineering expertise!
✨Tip Number 3
Don’t forget to tailor your approach! When you’re chatting with potential employers, highlight your consulting capabilities and how you can deliver operational excellence. Show them you’re not just about the tech, but also about understanding their needs.
✨Tip Number 4
Finally, make sure to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Senior System Engineer (AI/ML) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML platforms, Ubuntu Server, and Kubernetes. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
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 the perfect fit for this role. Let us know what excites you about working in the education sector.
Show Off Your Documentation Skills: Since strong documentation is key for this role, consider including examples of your previous work or mentioning specific documentation processes you've implemented. We love seeing how you can communicate complex ideas clearly!
Apply Through Our Website: Don’t forget to submit your application through the Computappoint website! It’s the best way for us to receive your details and get the ball rolling on your application. 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, Ubuntu Server, and Kubernetes. Be ready to discuss your hands-on experience with NVIDIA technologies and how you've deployed HPC environments in the past. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in previous roles. Think about times when you had to troubleshoot issues or implement updates in a complex computing infrastructure. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Engage with Stakeholders
Since the role involves collaborating with researchers and developers, be ready to discuss how you've engaged with stakeholders in the past. Highlight your communication skills and how you’ve gathered requirements to ensure successful project delivery. This shows you can bridge the gap between technical and non-technical teams.
✨Document Everything
Emphasise your documentation skills during the interview. Talk about how you create comprehensive guides for configuration, maintenance, and troubleshooting. This is crucial for ongoing operational support and shows that you value clarity and knowledge transfer within teams.
