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- Tasks: Develop and integrate advanced language models with innovative computer vision technology.
- Company: Leading AI research company based in London, focused on innovation.
- Benefits: Competitive compensation and hybrid work options for flexibility.
- Why this job: Join a high-performance team and contribute to groundbreaking AI advancements.
- Qualifications: 5+ years of software engineering experience and expert-level Python skills.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI research company in London is seeking an experienced LLM Engineer to develop and integrate advanced language models with cutting-edge computer vision technology. The ideal candidate has over 5 years of software engineering experience, expert-level proficiency in Python, and proven experience with LLM APIs.
You will work in a high-performance environment focused on innovation and excellence, contributing to significant AI advancements. This position offers competitive compensation and hybrid work options.
Senior LLM Engineer — Vision & Multimodal AI employer: Ultralytics
Contact Detail:
Ultralytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior LLM Engineer — Vision & Multimodal AI
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech scene, especially those who work at companies you're eyeing. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those involving LLMs and computer vision. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior LLM Engineer — Vision & Multimodal AI
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and LLM APIs in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific position. We love seeing candidates who take the time to connect their experiences with what we’re looking for in a Senior LLM Engineer.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your achievements and experiences shine through without unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Ultralytics
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant LLM APIs before the interview. Be ready to discuss your past projects in detail, especially those that involved integrating language models with computer vision technology.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would approach real-world problems in AI and be ready to explain your thought process clearly. This will demonstrate your ability to innovate and excel in a high-performance environment.
✨Research the Company’s Projects
Familiarise yourself with the company’s recent advancements in AI. Understanding their focus areas will help you tailor your responses and show genuine interest in their work, which can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project goals, and future directions of the company. This not only shows your enthusiasm but also helps you gauge if the company culture aligns with your values and work style.
