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- Tasks: Research and develop cutting-edge AI models for real-world applications.
- Company: Well-funded frontier AI startup with a focus on innovation.
- Benefits: Competitive salary up to £250k plus equity package.
- Why this job: Join a dynamic team shaping the future of AI technology.
- Qualifications: Strong research background in LLMs and reinforcement learning required.
- Other info: Fast-paced environment with opportunities for impactful contributions.
This is a well-funded frontier AI startup building state-of-the-art agentic systems that automate complex, multi-step tasks normally done by humans. The team combines deep research (in computer use and proprietary models) with forward-deployed implementation alongside enterprise clients.
The Models team builds the core LLMs and vision-language models behind these agentic systems. The focus is on training models that work well for agents in practice: strong instruction following, reliable tool use, and good decision-making at a given inference cost.
What you'll do:
- Research post-training methods for large multimodal language models, with a focus on RL and feedback-driven learning
- Design reward models and large-scale reinforcement learning setups for instruction following and tool use
- Build automated data collection pipelines using human and machine feedback
- Develop evaluations that capture real capability gains (not just benchmark improvements)
- Translate concrete product failures and use cases into new training signals
What you'll need:
- Strong research background combined with hands-on experience with LLM post-training, alignment, or reinforcement learning
- Proficiency in Python and at least one major DL framework (PyTorch, JAX, or TensorFlow)
- Experience training large models on distributed systems
- Publications at top-tier conferences (NeurIPS, ICML, ICLR, ACL, CVPR, etc.)
- Comfortable working in fast-moving, loosely specified research problems
Shortlisted candidates will be contacted within 48 hours.
Research Scientist in London employer: Axiōma Search
Contact Detail:
Axiōma Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with researchers on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, publications, and any cool models you've worked on. We want to see your hands-on experience, so make sure it’s easy for potential employers to see what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of reinforcement learning and multimodal language models. We suggest doing mock interviews with friends or using online platforms to get comfortable discussing your work and answering technical questions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive and eager to join our team at StudySmarter!
We think you need these skills to ace Research Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Research Scientist role. Highlight your experience with LLM post-training and reinforcement learning, and don’t forget to mention any relevant publications. We want to see how your background aligns with what we’re doing at StudySmarter!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about frontier AI and how your skills can contribute to our mission. Keep it engaging and personal – we love seeing your personality come through!
Showcase Your Projects: If you’ve worked on any projects related to large multimodal language models or reinforcement learning, make sure to showcase them. We’re interested in real-world applications, so share what you’ve done and the impact it had!
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at Axiōma Search
✨Know Your Research Inside Out
Make sure you’re well-versed in your past research and any publications you've contributed to. Be ready to discuss your methodologies, findings, and how they relate to the role of a Research Scientist, especially in LLM and reinforcement learning.
✨Showcase Your Technical Skills
Brush up on your Python skills and be prepared to talk about your experience with deep learning frameworks like PyTorch, JAX, or TensorFlow. You might even be asked to solve a coding problem, so practice some common algorithms and data structures beforehand.
✨Prepare for Real-World Applications
Think about how your research can translate into practical applications. Be ready to discuss specific examples of how you’ve tackled complex problems and how you would approach translating product failures into new training signals.
✨Stay Current with Industry Trends
Familiarise yourself with the latest advancements in AI and machine learning, particularly in multimodal language models. Being able to discuss recent papers or breakthroughs will show your passion and commitment to the field.