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- Tasks: Lead the Inference team to optimise AI architecture and performance.
- Company: Leading AI technology firm based in London.
- Benefits: Competitive salary, great benefits, and a collaborative work environment.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Extensive experience in C++ and Python, with a focus on performance optimisation.
- Other info: In-person collaboration with opportunities for mentorship and growth.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI technology firm in London is seeking a Technical Lead for the Inference team to drive architecture and optimization. You will ensure high performance and scalability, lead benchmarks, and collaborate with cross-functional teams.
Ideal candidates will have extensive experience in C++ and Python with a strong focus on performance optimization, knowledge of modern ML architectures, and the ability to mentor team members.
This full-time role emphasizes in-person collaboration and offers competitive salary and benefits.
Tech Lead, AI Inference — High-Performance Backend in London employer: Mistral AI
Contact Detail:
Mistral AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Tech Lead, AI Inference — High-Performance Backend in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and tech space. Attend meetups, webinars, or even local events to meet people who might know about openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects in C++ and Python. This is a great way to demonstrate your performance optimisation skills and modern ML architectures to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss architecture and optimisation strategies in detail. Practise common coding challenges that focus on performance to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, it’s a great way to show your enthusiasm for joining our team!
We think you need these skills to ace Tech Lead, AI Inference — High-Performance Backend in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C++ and Python, especially in performance optimisation. 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 and how your background makes you the perfect fit for our Inference team. Let us know how you can drive architecture and optimisation.
Showcase Your Team Spirit: Since this role involves collaboration with cross-functional teams, share examples of how you've successfully worked in teams before. We love seeing candidates who can mentor others and foster a positive team environment!
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 from our team!
How to prepare for a job interview at Mistral AI
✨Know Your Tech Inside Out
Make sure you brush up on your C++ and Python skills before the interview. Be ready to discuss specific projects where you've optimised performance or implemented modern ML architectures. This will show that you not only understand the theory but can apply it in real-world scenarios.
✨Showcase Your Leadership Skills
As a Tech Lead, you'll need to demonstrate your ability to mentor and guide others. Prepare examples of how you've successfully led teams or projects in the past. Highlight any experiences where you've helped team members grow or overcome challenges.
✨Understand the Company’s Vision
Research the AI technology firm thoroughly. Understand their products, culture, and recent developments in the industry. This knowledge will help you tailor your answers and show that you're genuinely interested in contributing to their mission.
✨Prepare for Technical Challenges
Expect to face technical questions or coding challenges during the interview. Practice common algorithms and data structures, and be ready to explain your thought process. This will demonstrate your problem-solving skills and ability to think on your feet.