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- Tasks: Lead cutting-edge AI research and shape the future of foundation models.
- Company: Exciting DeepTech startup focused on innovative AI solutions.
- Benefits: Competitive salary, equity options, and a dynamic work environment.
- Other info: Join a high-autonomy team and drive groundbreaking AI advancements.
- Why this job: Make a real impact in AI while working with top talent in the field.
- Qualifications: PhD in ML or related field with extensive research experience.
The predicted salary is between 150000 - 200000 £ per year.
We’re partnering with an early-stage AI startup building next-generation foundation models for structured data. Combined with their unique agentic platform, they provide companies with smart, more accurate predictions in complex environments.
As VP of Research, you’ll work with the Founders to define the research direction, shape core models, manage the team to conduct research, and continue to be active in both the research communities and product delivery.
The Role:
- Manage a scaling team of Research Scientists and ML Engineers
- Define and drive the research roadmap for foundation models on structured data
- Lead development of novel architectures (tabular + time-series focus)
- Own evaluation frameworks aligned with real-world use cases
- Shape active learning & long-term data strategy
- Work closely with engineering (~8 people) and leadership
- Translate research into scalable product capabilities
- Represent the company externally (partners, research community)
Your Background:
- PhD in ML, Computer Science, or related field
- 10–15+ years in machine learning research
- Strong publication record (e.g., NeurIPS, ICML, ICLR, JMLR)
- Experience designing & scaling large transformer-based (or similar) models
- Track record of turning research into real-world product impact
- Deep expertise in foundation models & modern deep learning architectures
- Hands-on with Python, PyTorch, distributed training (DeepSpeed/SLURM etc.)
- Comfortable operating in high-autonomy startup environments
If this sounds like the perfect match, please apply with your most recent CV, and someone from the team will be in touch to discuss in detail.
Vice President of Artificial Intelligence in London employer: Vertex Search
Contact Detail:
Vertex Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Vice President of Artificial Intelligence in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that VP role.
✨Tip Number 2
Showcase your expertise! Create a portfolio or a personal website where you can highlight your research, publications, and projects. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in foundation models. Be ready to discuss how your experience aligns with their goals and how you can drive their research roadmap.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Vice President of Artificial Intelligence in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in machine learning and research. We want to see how your background aligns with the role of VP of AI Research, so don’t hold back on showcasing your relevant skills and achievements!
Showcase Your Publications: Since a strong publication record is key for this role, be sure to include your most impressive papers. We love seeing contributions to top conferences like NeurIPS or ICML, so make them stand out in your application!
Highlight Leadership Experience: As you’ll be managing a team of Research Scientists and ML Engineers, it’s important to demonstrate your leadership skills. Share examples of how you've successfully led teams or projects in the past, especially in high-autonomy environments.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy – just upload your CV and we’ll take it from there!
How to prepare for a job interview at Vertex Search
✨Know Your Research Inside Out
As a VP of AI Research, you’ll need to demonstrate a deep understanding of your past research and its implications. Be prepared to discuss your publications in detail, especially those that align with foundation models and structured data. This shows not only your expertise but also your ability to translate complex concepts into practical applications.
✨Showcase Leadership Experience
Highlight your experience managing teams of researchers and engineers. Prepare examples of how you've successfully led projects, shaped research directions, and fostered collaboration. This will reassure them that you can effectively manage their scaling team and drive the research roadmap.
✨Align with Their Vision
Research the startup’s mission and current projects thoroughly. Be ready to discuss how your vision for AI research aligns with theirs. This demonstrates your commitment and helps you articulate how you can contribute to their goals, particularly in developing novel architectures and evaluation frameworks.
✨Prepare for Technical Questions
Expect in-depth technical questions about machine learning, foundation models, and your hands-on experience with tools like Python and PyTorch. Brush up on recent advancements in the field and be ready to discuss how you’ve applied these in real-world scenarios. This will showcase your technical prowess and readiness for the role.