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- Tasks: Design and operate scalable AI infrastructure while building self-service tools.
- Company: Leading tech company in Greater London with a focus on innovation.
- Benefits: Competitive compensation, equity, and perks for professional growth.
- Why this job: Join a dynamic team and enhance developer experiences in AI.
- Qualifications: Experience with production AI systems and strong API development skills.
- Other info: Exciting opportunities for career advancement in a supportive environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading technology company in Greater London is seeking candidates to design and operate scalable AI infrastructure. You will build self-service tools that accelerate the development process and implement logging practices for AI workloads.
Ideal candidates will have experience with production AI systems, strong skills in API development, and a commitment to improving developer experiences.
This role offers competitive compensation, including equity, and numerous perks to support your professional growth.
Remote AI Platform Engineer & MLOps — Equity in London employer: Hyperexponential Ltd
Contact Detail:
Hyperexponential Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote AI Platform Engineer & MLOps — Equity in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, or join online forums. The more connections we make, the better our chances of landing that dream role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and MLOps experience. We want to see what you can do, so make it easy for potential employers to check out your work.
✨Tip Number 3
Prepare for those interviews! Research common questions related to AI infrastructure and API development. Practising with a friend can help us feel more confident when it's our turn to shine.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Remote AI Platform Engineer & MLOps — Equity in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with production AI systems and API development. 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 improving developer experiences and how you can contribute to our scalable AI infrastructure. Keep it engaging and personal.
Showcase Your Projects: If you've built any self-service tools or worked on AI workloads, include them in your application. We love seeing real examples of your work that demonstrate your skills and commitment to the field.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Hyperexponential Ltd
✨Know Your AI Stuff
Make sure you brush up on your knowledge of production AI systems. Be ready to discuss your past experiences and how you've tackled challenges in building scalable AI infrastructure. This will show that you’re not just familiar with the theory but have practical insights to share.
✨API Development is Key
Since the role requires strong skills in API development, prepare to talk about specific projects where you’ve designed or improved APIs. Bring examples of how your work has enhanced developer experiences, as this will resonate well with the interviewers.
✨Show Your Problem-Solving Skills
Think of scenarios where you’ve had to troubleshoot or optimise AI workloads. Be ready to explain your thought process and the steps you took to resolve issues. This demonstrates your analytical skills and commitment to improving processes.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s AI infrastructure and their approach to MLOps. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals. Plus, it makes for a more engaging conversation!
