Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimise algorithms for AI models that align with human preferences.
- Company: Leading AI research firm based in Cambridge or London.
- Benefits: Hybrid working, competitive salary, and opportunities for publishing research.
- Why this job: Join the forefront of AI innovation and make a real impact on technology.
- Qualifications: PhD in relevant field and expertise in Reinforcement Learning and generative models.
- Other info: Collaborative environment with chances to publish in top-tier conferences.
The predicted salary is between 36000 - 60000 £ per year.
Job Title: AI Researcher
Location: Cambridge or London, UK
This is a permanent position with candidates required to do hybrid working in either Cambridge or London.
Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are safe, controllable, and capable of producing high-quality outputs across multiple modalities. You’ll sit at the intersection of RL, LLMs, and generative modelling, helping us build the next generation of foundation models
Responsibilities:
Develop and refine RLHF algorithms for large language and generative models.
Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment.
Train, fine-tune, and evaluate LLMs and diffusion models at scale.
Design experiments to align generative outputs with human and organisational preferences.
Collaborate with researchers, engineers, and human feedback teams to build scalable alignment pipelines.
Publish findings in top-tier AI conferences and contribute to open-source frameworks.
Key Requirements:
PhD in Computer Science, Machine Learning, or related field.
Publications at NeurIPS, ICML, ICLR, ACL, or related venues.
Deep expertise in Reinforcement Learning (policy optimisation, reward modelling, RLHF).
Hands-on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs).
Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow).
Proficiency in Python and standard ML libraries.
Solid foundations in probability, optimisation, and statistics.
Experience working with large-scale distributed training on GPUs/TPUs.
If this sounds of interest, please reach out to daniel@microtech-global.com
Artificial Intelligence Researcher employer: Microtech Global Ltd
Contact Detail:
Microtech Global Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Researcher
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who work with RLHF and generative models. Attend meetups or webinars, and don’t be shy to slide into DMs on LinkedIn – you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to reinforcement learning and generative AI. Whether it’s GitHub repos or blog posts, let your work speak for itself. This can really set you apart when you’re chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of deep learning frameworks and algorithms. Practice explaining complex concepts in simple terms, as you’ll likely need to communicate your ideas clearly to non-technical team members.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s get you that AI Researcher role!
We think you need these skills to ace Artificial Intelligence Researcher
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Researcher role. Highlight your experience with Reinforcement Learning and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our team. Don't forget to mention any publications or projects that showcase your expertise.
Showcase Your Technical Skills: Since this role requires deep expertise in RLHF and generative models, make sure to highlight your hands-on experience with these technologies. We love seeing specific examples of how you've applied your knowledge in real-world scenarios.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it's super easy!
How to prepare for a job interview at Microtech Global Ltd
✨Know Your Algorithms
Make sure you brush up on your knowledge of RLHF algorithms and deep reinforcement learning methods. Be ready to discuss specific techniques like policy gradients and actor-critic methods, as well as how you've applied them in your previous work.
✨Showcase Your Research
Prepare to talk about your publications and any relevant research you've conducted. Highlight your contributions to top-tier AI conferences and how they relate to the role. This will demonstrate your expertise and passion for the field.
✨Demonstrate Collaboration Skills
Since this role involves working with various teams, be prepared to share examples of how you've successfully collaborated with researchers and engineers in the past. Discuss any projects where you aligned generative outputs with human preferences.
✨Familiarise Yourself with Tools
Ensure you're comfortable discussing the deep learning frameworks mentioned in the job description, like PyTorch and TensorFlow. If you have experience with large-scale distributed training, be ready to explain your approach and any challenges you faced.
