Senior DevOps Engineer - AI/ML Training Infra in London
Senior DevOps Engineer - AI/ML Training Infra

Senior DevOps Engineer - AI/ML Training Infra in London

London Full-Time 60000 - 80000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and operate multi-GPU infrastructure for AI model training.
  • Company: Humanoid, a supportive startup in Greater London.
  • Benefits: Competitive salary, stock options, and a vibrant work culture.
  • Other info: Collaborative environment with opportunities for growth and innovation.
  • Why this job: Join a cutting-edge team and shape the future of AI technology.
  • Qualifications: 5+ years in DevOps/MLOps with strong Kubernetes skills.

The predicted salary is between 60000 - 80000 £ per year.

Humanoid in Greater London is seeking a Senior DevOps Engineer to design and operate multi-GPU infrastructure for AI model training. The role requires over 5 years of experience in DevOps or MLOps, with strong skills in Kubernetes and Infrastructure-as-Code. The ideal candidate will ensure reliability, scalability, and performance of platforms while collaborating with ML engineers. The company offers competitive salary, stock options, and a supportive startup culture.

Senior DevOps Engineer - AI/ML Training Infra in London employer: Humanoid

Humanoid is an exceptional employer located in Greater London, offering a dynamic startup culture that fosters innovation and collaboration. With competitive salaries, stock options, and ample opportunities for professional growth, employees are encouraged to thrive in their roles while working on cutting-edge AI/ML technologies. The supportive environment and focus on reliability and performance make it an ideal place for those looking to make a meaningful impact in the tech industry.
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Contact Detail:

Humanoid Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior DevOps Engineer - AI/ML Training Infra in London

✨Tip Number 1

Network like a pro! Reach out to your connections in the AI/ML space and let them know you're on the hunt for a Senior DevOps Engineer role. You never know who might have the inside scoop on openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your previous projects, especially those involving Kubernetes and Infrastructure-as-Code. This will give potential employers a clear view of what you can bring to the table.

✨Tip Number 3

Prepare for technical interviews by brushing up on your knowledge of multi-GPU infrastructure and AI model training. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.

✨Tip Number 4

Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our supportive startup culture.

We think you need these skills to ace Senior DevOps Engineer - AI/ML Training Infra in London

DevOps
MLOps
Kubernetes
Infrastructure-as-Code
Multi-GPU Infrastructure Design
Reliability Engineering
Scalability
Performance Optimisation
Collaboration with ML Engineers
Cloud Services
Automation Tools
CI/CD Pipelines
Monitoring and Logging
Troubleshooting Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in DevOps and MLOps, especially with Kubernetes and Infrastructure-as-Code. We want to see how your skills align with the role, 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 infrastructure and how your background makes you a perfect fit for our team. We love hearing your story!

Showcase Your Collaboration Skills: Since this role involves working closely with ML engineers, make sure to mention any past experiences where you’ve successfully collaborated on projects. We value teamwork and want to see how you can contribute to our supportive culture.

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, we love seeing applications come in through our own channels!

How to prepare for a job interview at Humanoid

✨Know Your Tech Inside Out

Make sure you brush up on your Kubernetes and Infrastructure-as-Code skills. Be ready to discuss specific projects where you've implemented these technologies, as well as any challenges you faced and how you overcame them.

✨Showcase Your Collaboration Skills

Since the role involves working closely with ML engineers, prepare examples of how you've successfully collaborated in the past. Highlight any cross-functional projects and how your contributions led to improved outcomes.

✨Demonstrate Problem-Solving Abilities

Be prepared to tackle hypothetical scenarios related to multi-GPU infrastructure. Think about potential issues that could arise during AI model training and how you would address them. This will show your analytical thinking and proactive approach.

✨Understand the Company Culture

Research Humanoid's startup culture and values. Be ready to discuss why you’re excited about joining a startup environment and how you can contribute to their mission. This will help you connect with the interviewers on a personal level.

Senior DevOps Engineer - AI/ML Training Infra in London
Humanoid
Location: London

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