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- 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.
- Other info: Collaborative environment with chances to publish in top-tier AI conferences.
- Why this job: Join the forefront of AI innovation and make a real impact on future technologies.
- Qualifications: PhD in relevant field and expertise in Reinforcement Learning and deep learning frameworks.
The predicted salary is between 60000 - 80000 ÂŁ per year.
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, actorâcritic, offâpolicy learning) for model alignment.
- Train, fineâtune, 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 topâtier AI conferences and contribute to openâsource 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).
- 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 largeâscale distributed training on GPUs/TPUs.
If this sounds of interest, please reach out to daniel@microtech-global.com
Artificial Intelligence Researcher in London employer: microTECH Global LTD
Contact Detail:
microTECH Global LTD Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Artificial Intelligence Researcher in London
â¨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 donât be shy to slide into DMs on LinkedIn â you never know who might have the inside scoop on job openings.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to reinforcement learning and generative AI. Whether itâs GitHub repos or blog posts, let your work speak for itself. This can really set you apart when youâre chatting with potential employers.
â¨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 youâll likely need to communicate your ideas clearly to both technical and non-technical folks.
â¨Tip Number 4
Donât forget to apply through our website! Weâve got some fantastic opportunities waiting for you. Plus, applying directly can sometimes give you a better chance of getting noticed by hiring managers.
We think you need these skills to ace Artificial Intelligence Researcher in London
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV highlights your experience with Reinforcement Learning and Generative AI. We want to see how your skills align with the role, so donât be shy about showcasing relevant projects or publications!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youâre passionate about AI research and how your background makes you a perfect fit for our team. Let us know what excites you about working at StudySmarter!
Showcase Your Research: If you've published in top-tier conferences like NeurIPS or ICML, make sure to mention those! We love seeing your contributions to the field, so include links or references to your work that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures you donât miss out on any important updates from our team!
How to prepare for a job interview at microTECH Global LTD
â¨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 past projects.
â¨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.
â¨Familiarise with Frameworks
Since the job requires strong knowledge of frameworks like PyTorch, JAX, and TensorFlow, make sure you're comfortable discussing your experience with these tools. Bring examples of projects where you've used them effectively, especially in large-scale distributed training.
â¨Collaboration is Key
This role involves working closely with researchers and engineers, so be prepared to discuss your teamwork experiences. Share examples of how you've collaborated on projects, designed experiments, and aligned outputs with human preferences to show you're a team player.