Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a cutting-edge team to develop LLM Agents for coding and research.
- Company: FAIR, a leader in AI research based in London.
- Benefits: Work on-site with access to top-tier resources and collaborative projects.
- Other info: Ideal for those passionate about machine learning and software engineering.
- Why this job: Make a significant impact in the AI field while advancing your career.
- Qualifications: PhD in relevant fields and expertise in Python and LLMs required.
The predicted salary is between 60000 - 80000 £ per year.
We are looking for a research engineer to join FAIR to work on LLM Agents for coding and research. Will consider candidates who have experience training coding agents and turning LLM agents for code (or at least experience in adjacent areas and desires to learn this field).
Roles & Responsibilities
- Responsible for code generation LLMs, transformers for code, compilers or program analysis, and/or large-scale ML model training.
- The role centers on machine learning for code — including program optimization, verification, code reasoning, and software engineering agents built on LLMs.
- Support creative data sourcing, high-quality pre/mid/post-training data curation, and scale and optimize data pipelines for multimodal large language models (LLMs).
- Responsible for designing architectures to make LLMs better at generalization and reasoning.
Qualifications
- PhD in Computer Science, Mathematics, Physics, or related field, with strong research or industry experience.
- Deep expertise in Python Programming Language.
- Strong experience working with Large Language Models (LLMs).
- Experience with tools and frameworks for building and working with modern AI models (e.g., PyTorch, TensorFlow, Transformers, Hugging Face).
- Proven ability to lead complex and ambiguous technical projects from conception to completion.
ML Engineer in London employer: Qualitest
Contact Detail:
Qualitest Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 projects, especially those related to LLMs and coding agents. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice coding challenges and be ready to discuss your past projects in detail. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job postings and make sure your application stands out.
We think you need these skills to ace ML Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience with LLMs and coding agents. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning for code and how your background makes you a perfect fit for our team at StudySmarter.
Showcase Your Technical Skills: Don’t forget to mention your expertise in Python and any frameworks like PyTorch or TensorFlow. We love seeing candidates who can demonstrate their technical prowess, so include specific examples of your work!
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’s super easy!
How to prepare for a job interview at Qualitest
✨Know Your Stuff
Make sure you brush up on your knowledge of large language models and coding agents. Be ready to discuss your experience with Python, PyTorch, and TensorFlow. We recommend preparing specific examples of projects you've worked on that relate to the role.
✨Showcase Your Research Skills
Since this position is for a PhD candidate, be prepared to talk about your research in detail. We suggest summarising your thesis or any relevant papers you've published, focusing on how they relate to machine learning and code generation.
✨Prepare for Technical Questions
Expect some challenging technical questions during the interview. We advise practising coding problems and discussing your thought process out loud. This will help demonstrate your problem-solving skills and ability to lead complex projects.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the team’s current projects, challenges they face, and their approach to data sourcing and model training. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.