At a Glance
- Tasks: Design and build cutting-edge AI agents and scalable machine learning systems.
- Company: Join a high-performing AI research group at the forefront of innovation.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Collaborate with top-tier researchers in a dynamic, high-output environment.
- Why this job: Make a real impact in the world of AI with groundbreaking projects.
- Qualifications: 2-4 years in machine learning, strong Python skills, and a research background.
The predicted salary is between 50000 - 70000 € per year.
Contract length: 6 months with potential to extend
Location: Hybrid 3 days per week in King's Cross
We are hiring a Machine Learning Research Engineer to join a high-performing AI research group working at the forefront of large language models and autonomous AI agents. This is not a traditional engineering role. You will operate at the intersection of research and applied systems, building next-generation AI capabilities that push beyond current industry benchmarks.
What you will do:
- Design and build LLM-driven agents for research and automation
- Develop scalable machine learning systems using Python and PyTorch
- Run complex experiments across large datasets and models
- Collaborate with researchers and engineers to deliver measurable scientific impact
- Contribute to cutting-edge work influencing real-world AI systems
What we are looking for:
- 2–4 years’ experience in machine learning, AI, or related fields
- Strong Python and PyTorch capability
- Exposure to LLMs, generative AI, or agent-based systems
- Strong academic or research grounding (Maths, Physics, ML)
- High-output mindset with the ability to execute quickly
- High-performance, research-led team
- Direct exposure to world-class AI work
Next steps to apply:
Apply now with word document CV or email your CV to rory@principlehr.com for immediate review.
Machine Learning Research Engineer (LLM & AI Agents) employer: Principle
Join a dynamic and innovative team at the forefront of AI research in King's Cross, where you will have the opportunity to work on groundbreaking projects that shape the future of technology. Our hybrid work culture promotes flexibility and collaboration, while our commitment to employee growth ensures you will continually develop your skills in a high-performance environment. With access to world-class resources and a focus on impactful research, this role offers a unique chance to contribute to meaningful advancements in machine learning and AI.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Research Engineer (LLM & AI Agents)
✨Tip Number 1
Network like a pro! Reach out to people in the AI and machine learning space, especially those who work at companies you're interested in. A friendly chat can open doors that a CV alone might not.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and PyTorch. This is your chance to demonstrate your hands-on experience with LLMs and generative AI.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past projects and how they relate to the role of a Machine Learning Research Engineer.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Machine Learning Research Engineer (LLM & AI Agents)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in machine learning and AI. We want to see how your skills in Python and PyTorch shine through, so don’t hold back on showcasing relevant projects or research!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for LLMs and AI agents, and let us know how your background aligns with our cutting-edge work.
Showcase Your Research Experience:Since we’re looking for someone with a strong academic grounding, make sure to highlight any research projects you've been involved in. We love seeing how you’ve contributed to real-world AI systems!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Principle
✨Know Your Stuff
Make sure you brush up on your knowledge of large language models and AI agents. Be ready to discuss your experience with Python and PyTorch, as well as any relevant projects you've worked on. This is your chance to show off your technical skills!
✨Show Your Research Side
Since this role is at the intersection of research and applied systems, be prepared to talk about your academic background and any research you've conducted. Highlight how your work has contributed to measurable outcomes in AI or machine learning.
✨Prepare for Problem-Solving Questions
Expect to face some complex problem-solving scenarios during the interview. Think about how you would approach designing LLM-driven agents or running experiments on large datasets. Practising these types of questions can really help you stand out.
✨Collaborate and Communicate
This role involves working closely with a high-performance team, so be ready to demonstrate your collaboration skills. Share examples of how you've successfully worked with others in the past, and don’t forget to ask insightful questions about the team dynamics and projects!
