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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, excellent benefits, and opportunities for professional growth.
- Why this job: Join a prestigious project and make a real impact in AI/ML technology.
- Qualifications: Strong engineering skills in AI/ML, Kubernetes, and high-performance computing.
- Other info: Onsite role in Central London with a collaborative team atmosphere.
The predicted salary is between 60000 - 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:
Senior System Engineer (AI/ML) employer: Computappoint
Contact Detail:
Computappoint Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior System Engineer (AI/ML)
✨Tip Number 1
Network like a pro! Attend industry meetups, webinars, or local tech events. It's all about making connections and getting your name out there. You never know who might be looking for someone with your skills!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI/ML projects or contributions. This is your chance to demonstrate your hands-on experience and technical prowess, so make it shine!
✨Tip Number 3
Prepare for those interviews! Research the company and its projects, especially in the education sector. Tailor your answers to highlight how your expertise aligns with their needs, particularly in AI/ML operations.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can give you an edge. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Senior System Engineer (AI/ML)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior System Engineer role. Highlight your experience with AI/ML platforms, Kubernetes, and any relevant technologies. 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 our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's deploying an AI/ML platform or working with NVIDIA technologies, we want to know about your hands-on experience and successes.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you're keen to join our team!
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 technologies. Brush up on your hands-on engineering skills and be ready to discuss specific projects where you've successfully deployed AI/ML platforms.
✨Showcase Your Consulting Skills
Since the role requires solid consulting capabilities, prepare examples of how you've engaged with stakeholders in previous roles. Think about times when you’ve translated technical jargon into layman's terms or helped non-technical teams understand complex AI/ML concepts.
✨Prepare for Problem-Solving Questions
Expect questions that assess your troubleshooting abilities. Be ready to walk through your thought process on how you would monitor and resolve issues within an AI/ML Ops platform. Use real-life scenarios to illustrate your problem-solving approach.
✨Documentation is Key
Since creating comprehensive documentation is part of the job, be prepared to discuss your experience with this. Bring examples of documentation you've created in the past, such as configuration guides or troubleshooting manuals, to demonstrate your attention to detail and organisational skills.
