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- Tasks: Build and optimise LLM agents and scalable ML systems using Python.
- Company: Leading tech company at the forefront of AI innovation.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Strong software engineering skills, especially in Python and PyTorch.
- Other info: Exciting contract role with potential for impactful contributions.
The predicted salary is between 60000 - 80000 £ per year.
A leading tech company is seeking an AI Research Engineer to work on LLM agents and machine learning systems. This contract position based in London involves building and optimising models, designing AI infrastructure, and writing high-quality Python code.
Candidates should have significant experience in software engineering, with expertise in Python and PyTorch, ideally along with knowledge of generative AI and LLMs. Advanced degrees in relevant fields are advantageous.
AI Research Engineer: LLMs & Scalable ML Systems employer: DeepRec.ai
Contact Detail:
DeepRec.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Research Engineer: LLMs & Scalable ML Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning community, especially those who work with LLMs. Attend meetups or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and PyTorch. Highlight any work you've done with generative AI and LLMs to catch the eye of potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of scalable ML systems. Practice common algorithms and data structures, and be ready to discuss your past projects in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented individuals like you. Make sure your application stands out by tailoring it to the specific role and company culture.
We think you need these skills to ace AI Research Engineer: LLMs & Scalable ML Systems
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and PyTorch, as well as any work you've done with LLMs or generative AI. 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 research and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects: If you've worked on any interesting projects related to machine learning or AI, make sure to mention them in your application. We’re keen to see practical examples of your work, especially if they involve building or optimising models.
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’re considered for the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at DeepRec.ai
✨Know Your Tech Inside Out
Make sure you brush up on your Python and PyTorch skills before the interview. Be ready to discuss specific projects where you've built or optimised models, as well as any challenges you faced and how you overcame them.
✨Showcase Your AI Knowledge
Since the role focuses on LLMs and generative AI, prepare to talk about recent advancements in these areas. Bring examples of how you've applied this knowledge in your previous work or research, and be ready to discuss potential future applications.
✨Prepare for Technical Questions
Expect technical questions that test your understanding of scalable ML systems. Practice coding problems related to algorithms and data structures, and be prepared to write code on a whiteboard or in an online coding environment during the interview.
✨Ask Insightful Questions
At the end of the interview, have some thoughtful questions ready about the company's AI infrastructure and future projects. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.