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- Tasks: Lead research on multi-modal world models and develop advanced AI architectures.
- Company: Join a cutting-edge tech company at the forefront of AI innovation in London.
- Benefits: Enjoy a competitive salary, bonuses, and hybrid working options.
- Why this job: Shape the future of AI while working in a dynamic and collaborative environment.
- Qualifications: PhD or equivalent in ML/AI, with strong skills in Python and generative models.
- Other info: This role offers significant influence on research direction and innovation strategy.
The predicted salary is between 43200 - 72000 £ per year.
Lead Research Scientist
Permanent London - hybrid
Competitive salary + bonus
You’ll take the lead on shaping the future of multi-modal world models, focusing on how models can learn from and realistically simulate scenes involving multiple input types (vision, language, dynamics, etc.). This is a hands-on technical leadership role with major influence across both foundational research and scalable system design.
- Design and prototype generative world models that combine perception and simulation
- Develop and train advanced architectures using LLMs, diffusion models, and multi-modal transformers
- Drive research on how AI systems can learn dynamic environments from video, sensor data, and text
- Translate research into deployable, high-performance systems
- Influence long-term modeling strategy and innovation roadmap
Tech Skills:
- Python, PyTorch
- Generative models (GenAI)
- Large Language Models (LLMs) and multi-modal training techniques
- PhD or industry equivalent in ML, AI, or related field (desirable)
- Deep experience with generative modeling, especially for dynamic or multi-modal data
- Strong background in LLMs, deep learning, and simulation-based learning
- Demonstrated ability to lead projects and influence research direction
Senior Research Scientist employer: Cognitive Group | Part of the Focus Cloud Group
Contact Detail:
Cognitive Group | Part of the Focus Cloud Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Research Scientist
✨Tip Number 1
Network with professionals in the AI and machine learning fields. Attend conferences, webinars, or local meetups to connect with others who share your interests. This can help you learn about unadvertised opportunities and gain insights into what companies like us at StudySmarter are looking for.
✨Tip Number 2
Showcase your expertise by contributing to open-source projects or publishing research papers. This not only demonstrates your skills but also helps you build a portfolio that highlights your experience with generative models and multi-modal training techniques, which are crucial for the role.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and PyTorch skills. Practice coding challenges related to generative models and deep learning concepts, as these will likely come up during the interview process. Being well-prepared will give you an edge over other candidates.
✨Tip Number 4
Stay updated on the latest trends and advancements in AI and machine learning. Follow relevant blogs, podcasts, and research publications to ensure you can discuss current topics and innovations during interviews. This shows your passion for the field and your commitment to continuous learning.
We think you need these skills to ace Senior Research Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in multi-modal models, generative models, and any leadership roles you've held. Use specific examples to demonstrate your technical skills in Python, PyTorch, and LLMs.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and research. Discuss how your background aligns with the role's requirements, particularly your experience with dynamic environments and simulation-based learning.
Showcase Your Projects: If you have worked on projects related to generative modeling or multi-modal training techniques, include them in your application. Briefly describe your role, the technologies used, and the impact of your work.
Highlight Leadership Experience: Since this is a leadership role, emphasise any previous experience where you led projects or teams. Discuss how you influenced research direction and contributed to innovation in your past roles.
How to prepare for a job interview at Cognitive Group | Part of the Focus Cloud Group
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python, PyTorch, and generative models in detail. Highlight specific projects where you've successfully implemented multi-modal training techniques or worked with LLMs, as this will demonstrate your hands-on technical skills.
✨Demonstrate Leadership Experience
Since this role involves technical leadership, share examples of how you've led research projects or influenced the direction of a team. Discuss any challenges you faced and how you overcame them to showcase your problem-solving abilities.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to translate research into deployable systems. Think about past experiences where you had to design and prototype models, and be ready to explain your thought process and the outcomes.
✨Align with Their Vision
Research the company's long-term modeling strategy and innovation roadmap. Be ready to discuss how your background and vision align with theirs, and suggest ways you could contribute to shaping the future of their multi-modal world models.
