AI Platform Engineer – HPC & GPU Cluster Support in London
AI Platform Engineer – HPC & GPU Cluster Support

AI Platform Engineer – HPC & GPU Cluster Support in London

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Provide technical support for an innovative AI platform and troubleshoot customer issues.
  • Company: Leading AI technology company in the UK with a vibrant work culture.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Why this job: Join a cutting-edge team and make a real difference in AI technology.
  • Qualifications: Experience in technical support and knowledge of AI/ML concepts required.
  • Other info: Dynamic environment focused on customer satisfaction and collaboration.

The predicted salary is between 36000 - 60000 £ per year.

A leading AI technology company in the United Kingdom is looking for a Support Engineer / Cluster Administrator to provide essential technical support for their cutting-edge AI platform. This role involves diagnosing and troubleshooting customer-reported issues, collaborating with vendor teams, and automating maintenance tasks.

Ideal candidates will have:

  • Solid technical support experience
  • Familiarity with cloud-based systems
  • A strong understanding of AI/ML concepts

A vibrant work environment with a focus on customer satisfaction is fostered.

AI Platform Engineer – HPC & GPU Cluster Support in London employer: Carbon3ai Limited.

As a leading AI technology company in the United Kingdom, we pride ourselves on fostering a vibrant work environment that prioritises customer satisfaction and innovation. Our employees benefit from continuous growth opportunities, collaborative teamwork, and access to cutting-edge technology, making it an ideal place for those passionate about AI and looking to make a meaningful impact in their careers.
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Contact Detail:

Carbon3ai Limited. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Platform Engineer – HPC & GPU Cluster Support in London

Tip Number 1

Get to know the company inside out! Research their AI platform, recent projects, and any challenges they might be facing. This will help you tailor your conversations and show that you're genuinely interested in being part of their team.

Tip Number 2

Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give us insights into the company culture and even lead to referrals, which can boost your chances of landing that interview.

Tip Number 3

Prepare for technical interviews by brushing up on your troubleshooting skills and understanding of cloud-based systems. Practice common scenarios you might face as a Support Engineer, so you can demonstrate your problem-solving abilities confidently.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else.

We think you need these skills to ace AI Platform Engineer – HPC & GPU Cluster Support in London

Technical Support Experience
Troubleshooting Skills
Cloud-Based Systems Familiarity
AI/ML Concepts Understanding
Automation Skills
Collaboration Skills
Customer Service Orientation
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your technical support experience and any relevant skills related to AI/ML concepts. We want to see how your background aligns with the role, so don’t be shy about showcasing your cloud-based systems knowledge!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the AI Platform Engineer role and how you can contribute to our vibrant work environment. Let us know what makes you tick in the tech world!

Showcase Problem-Solving Skills: In your application, give examples of how you've diagnosed and troubleshot issues in the past. We love seeing candidates who can think on their feet and tackle challenges head-on, especially in a fast-paced setting like ours.

Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get the best chance to join our team. Plus, it’s super easy!

How to prepare for a job interview at Carbon3ai Limited.

Know Your Tech Inside Out

Make sure you brush up on your technical skills related to AI, HPC, and GPU clusters. Be prepared to discuss specific tools and technologies you've used in the past, as well as any troubleshooting experiences. This will show that you’re not just familiar with the concepts but can also apply them effectively.

Showcase Your Problem-Solving Skills

During the interview, be ready to walk through how you would approach diagnosing and troubleshooting a customer-reported issue. Use real-life examples to illustrate your thought process and how you collaborate with teams to resolve problems. This demonstrates your practical experience and ability to think on your feet.

Familiarise Yourself with Cloud Systems

Since the role involves cloud-based systems, make sure you understand the basics of cloud architecture and services. Be prepared to discuss any relevant experience you have with cloud platforms, as this will highlight your readiness for the role and your ability to support the AI platform effectively.

Emphasise Customer Satisfaction

This company values customer satisfaction highly, so be sure to convey your commitment to providing excellent support. Share examples of how you've gone above and beyond for customers in previous roles, and express your enthusiasm for contributing to a vibrant work environment focused on client success.

AI Platform Engineer – HPC & GPU Cluster Support in London
Carbon3ai Limited.
Location: London
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  • AI Platform Engineer – HPC & GPU Cluster Support in London

    London
    Full-Time
    36000 - 60000 £ / year (est.)
  • C

    Carbon3ai Limited.

    50-100
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