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- Tasks: Build and support infrastructure for cutting-edge AI platforms and develop efficient pipelines.
- Company: Leading AI technology company based in Greater London with a focus on innovation.
- Benefits: Hybrid working, significant annual leave, and generous budgets for professional development.
- Why this job: Join a dynamic team and contribute to groundbreaking AI solutions that shape the future.
- Qualifications: Curiosity about AI and proficiency in software engineering, with experience in LLMs or ML systems.
- Other info: Exciting opportunities for career growth in a collaborative environment.
The predicted salary is between 60000 - 80000 £ per year.
A leading AI technology company in Greater London seeks an enthusiastic engineer to build foundational infrastructure for its AI platform. You will support model serving, develop pipelines, and ensure system observability. Ideal candidates are curious about AI and proficient in software engineering, with experience in LLMs or ML systems. The role offers hybrid working, significant annual leave, and generous development budgets.
AI Platform Engineer: Remote-Ready Infra for Scalable AI in London employer: Elliptic Enterprises Ltd.
Contact Detail:
Elliptic Enterprises Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Platform Engineer: Remote-Ready Infra for Scalable AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to LLMs or ML systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to AI infrastructure. Practising with friends or using mock interview platforms can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. Plus, it makes it easier for us to spot your enthusiasm and skills.
We think you need these skills to ace AI Platform Engineer: Remote-Ready Infra for Scalable AI in London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! Share any personal projects or experiences that highlight your curiosity and skills in the field. We love seeing candidates who are genuinely excited about what they do.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the AI Platform Engineer role. Highlight relevant experience with LLMs or ML systems, and don’t forget to mention any software engineering skills that align with our needs. We want to see how you fit into our team!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it’s necessary. We appreciate a well-structured application that makes it easy for us to see your qualifications and potential.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised on our end!
How to prepare for a job interview at Elliptic Enterprises Ltd.
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies, especially around LLMs and ML systems. Be ready to discuss your previous experiences and how they relate to building infrastructure for AI platforms.
✨Show Off Your Software Skills
Prepare to demonstrate your software engineering prowess. Bring examples of past projects where you've developed pipelines or worked on model serving. This will show that you can handle the technical demands of the role.
✨Ask Smart Questions
Think of insightful questions to ask about the company's AI platform and its future direction. This shows your curiosity and genuine interest in the role, which is something we really value at StudySmarter.
✨Be Ready for Problem-Solving
Expect some technical challenges during the interview. Practice solving problems related to system observability and infrastructure scalability. This will help you showcase your critical thinking and problem-solving skills.