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- Tasks: Design cutting-edge AI infrastructure for diverse workloads and enhance serverless AI capabilities.
- Company: Leading tech firm at the forefront of AI innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for skill development.
- Why this job: Join a team shaping the future of AI with impactful projects.
- Qualifications: Experience in machine learning, DevOps, and infrastructure design.
- Other info: Fast-paced environment with significant career advancement potential.
The predicted salary is between 48000 - 72000 £ per year.
Responsibilities:
- Design a unified AI Infra & Serving architecture platform for composite AI workloads such as LLM Training & Inference, RLHF, Agent, and Multimodal processing.
- This platform will integrate inference, orchestration, and state management, defining the technical evolution path for Serverless AI + Agentic Serving.
- Design a heterogeneous execution framework across CPU/GPU/NPU for agent management.
Machine Learning Devops - Infrastructure Architect in Edinburgh employer: Microtech Global Ltd
Contact Detail:
Microtech Global Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Devops - Infrastructure Architect in Edinburgh
✨Tip Number 1
Network like a pro! Connect with folks in the AI and DevOps space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI infrastructure and machine learning. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI and DevOps. Be ready to discuss how you would design a unified AI infrastructure and tackle real-world problems. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some exciting opportunities waiting for you, and applying directly can sometimes give you an edge. Let’s get you that dream job!
We think you need these skills to ace Machine Learning Devops - Infrastructure Architect in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning DevOps role. Highlight relevant experience and skills that align with our needs, especially in AI infrastructure and serving architecture.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. Be specific about your experience with LLM training and inference.
Showcase Your Projects: If you've worked on any projects related to AI workloads or serverless architectures, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Microtech Global Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest trends and technologies related to AI infrastructure. Brush up on your knowledge of LLM training, inference, and orchestration. Being able to discuss these topics confidently will show that you’re not just familiar with the basics but are genuinely passionate about the field.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, especially those related to heterogeneous execution frameworks across CPU/GPU/NPU. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it easy for the interviewer to follow your thought process.
✨Understand the Company’s Vision
Research the company’s current projects and future goals, particularly in AI and machine learning. This will help you tailor your responses to align with their vision and demonstrate that you’re a good fit for their team and culture.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your understanding of the role and the company’s objectives. Inquire about their approach to serverless AI and agentic serving, or how they envision the evolution of their AI infrastructure. This shows your genuine interest and can spark engaging discussions during the interview.
