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- Tasks: Innovate in agent-based AI systems and tackle real-world challenges.
- Company: Leading information provider in London with a focus on cutting-edge research.
- Benefits: Hybrid work model, competitive salary, and opportunities for impactful research.
- Why this job: Join a team pushing the boundaries of AI and make a difference in the field.
- Qualifications: PhD in a relevant field and strong deep learning expertise required.
- Other info: Collaborate with top-tier academics and contribute to significant publications.
The predicted salary is between 36000 - 60000 £ per year.
A leading information provider in London is seeking a Research Scientist to innovate in agent-based AI systems at the intersection of research and real-world problems. This role involves developing new AI approaches, collaborating with top-tier academic partners, and contributing to significant research publications.
The ideal candidate will have:
- a strong background in deep learning frameworks
- a PhD in a relevant field
- excellent communication skills
- a self-driven attitude
LLM Agent Scientist — Foundational AI Research (Hybrid) in London employer: Thomas Reuters
Contact Detail:
Thomas Reuters Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land LLM Agent Scientist — Foundational AI Research (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field on LinkedIn or at conferences. Engaging with others can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Showcase your work! Create a portfolio of your projects, especially those related to agent-based AI systems. This gives potential employers a tangible sense of your skills and creativity.
✨Tip Number 3
Prepare for interviews by brushing up on your deep learning frameworks. Be ready to discuss your research and how it applies to real-world problems, as this is key for the role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that dream job, so make sure you take advantage of everything we offer.
We think you need these skills to ace LLM Agent Scientist — Foundational AI Research (Hybrid) in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with deep learning frameworks and any relevant research you've done. We want to see how your background aligns with the role, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the LLM Agent Scientist position. Use keywords from the job description to show us you’re a perfect fit for the team.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your communication skills shine through in your writing.
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 Thomas Reuters
✨Know Your AI Stuff
Make sure you brush up on the latest developments in agent-based AI systems and deep learning frameworks. Be ready to discuss your previous research and how it relates to real-world applications, as this will show your understanding of the field.
✨Show Off Your Collaboration Skills
Since this role involves working with top-tier academic partners, be prepared to share examples of past collaborations. Highlight how you’ve successfully worked in teams and contributed to research publications, as this will demonstrate your ability to work well with others.
✨Communicate Clearly
Excellent communication skills are a must for this position. Practice explaining complex concepts in simple terms, as you may need to present your ideas to non-experts. This will showcase your ability to convey information effectively.
✨Be Self-Driven
The ideal candidate is self-driven, so come prepared with examples of how you've taken initiative in your previous roles. Discuss any projects you've led or innovative ideas you've implemented, as this will highlight your proactive attitude.
