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- Tasks: Design and build LLM-powered applications while managing language-model systems.
- Company: Leading AI development company in Greater London with a focus on innovation.
- Benefits: Competitive salary and the opportunity to work on impactful AI solutions.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Strong Python skills and experience with production ML infrastructure required.
- Other info: Collaborate closely with senior researchers in a dynamic environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI development company in Greater London is seeking an LLM Engineer to take ownership of language-model systems from training through to deployment. You will design and build LLM-powered applications while collaborating closely with senior researchers. Strong Python fundamentals and experience with production ML infrastructure are required. This role offers competitive salary and the chance to work on impactful AI solutions.
LLM Engineer — Build & Deploy Production-Grade AI employer: Bluebird
Contact Detail:
Bluebird Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land LLM Engineer — Build & Deploy Production-Grade AI
✨Tip Number 1
Network like a pro! Reach out to folks in the AI community, attend meetups, and connect with professionals on LinkedIn. 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 LLM projects or any relevant work you've done. This is your chance to demonstrate your Python prowess and production ML infrastructure experience in a tangible way.
✨Tip Number 3
Prepare for those interviews! Brush up on common technical questions related to LLMs and be ready to discuss your past experiences. Practising with a friend or using mock interview platforms can really help us nail it.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace LLM Engineer — Build & Deploy Production-Grade AI
Some tips for your application 🫡
Show Off Your Python Skills: Make sure to highlight your Python fundamentals in your application. We want to see how you've used Python in real-world projects, especially in relation to ML infrastructure.
Talk About Your Experience: Don’t just list your previous jobs; tell us about the specific projects you’ve worked on. We love hearing about your hands-on experience with language-model systems and any challenges you’ve overcome.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
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 us!
How to prepare for a job interview at Bluebird
✨Know Your Python Inside Out
Make sure you brush up on your Python skills before the interview. Be ready to discuss your experience with Python in detail, especially how you've used it in machine learning projects. Practising coding challenges can also help you demonstrate your problem-solving abilities.
✨Familiarise Yourself with LLMs
Since the role focuses on language-model systems, take some time to understand the latest advancements in LLMs. Be prepared to discuss specific models you've worked with and how you've implemented them in production. Showing your passion for AI will definitely impress the interviewers.
✨Showcase Your Deployment Experience
Highlight any experience you have with deploying machine learning models. Discuss the tools and frameworks you've used, and be ready to explain the challenges you faced during deployment and how you overcame them. This will show that you can take ownership of the entire process.
✨Prepare Questions for Them
Interviews are a two-way street, so come prepared with insightful questions about their AI projects and team dynamics. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you. Ask about their approach to collaboration with researchers and how they tackle challenges in AI development.
