At a Glance
- Tasks: Lead a team in developing AI solutions using NLP and information retrieval techniques.
- Company: Join one of the world's most exciting Data Science Labs focused on innovation.
- Benefits: Enjoy a hybrid work model with flexible office days and opportunities for professional growth.
- Other info: Collaborate with diverse teams and mentor fellow scientists in a culture of continuous learning.
- Why this job: Be at the forefront of AI technology, driving product innovation and making a real impact.
- Qualifications: PhD or Master's with experience in NLP/IR systems and strong leadership skills required.
The predicted salary is between 60000 - 84000 £ per year.
Lead Applied Scientist | Document Understanding Search Information Retrieval | London or Switzerland
If you're passionate about pushing the boundaries of NLP, Search and Generative AI, this is an opportunity to work on problems that genuinely haven't been solved at scale.
You'll join a world-class AI research organisation building the document understanding layer that powers next-generation AI search, retrieval and reasoning systems used by millions of professionals globally.
We're hiring across Applied Scientist, Senior Applied Scientist and Lead Applied Scientist levels, so whether you're an established researcher looking to step into technical leadership or already operating as a recognised technical authority, I'd love to speak with you.
You'll tackle challenging problems including:
- Semantic chunking for long, complex documents
- Information extraction and document enrichment
- Knowledge graph construction
- Entity linking and retrieval optimisation
- Knowledge distillation and efficient production LLM/SLM deployment
The work sits at the intersection of applied research and production engineering — developing state-of-the‑art models that rapidly become customer‑facing capabilities across multiple AI products.
We're looking for scientists with experience in areas such as:
- NLP & LLMs
- Information Retrieval / Search
- Knowledge Graphs
- Information Extraction
- Publications in venues such as ACL, EMNLP, NeurIPS, ICLR, SIGIR or KDD are highly valued.
If you're looking for a role where you can build and ship AI solutions at scale in Document Understanding, Search, & Information Retrieval
Lead Applied Scientist employer: Greybridge Search & Selection
At Greybridge Search & Selection, we pride ourselves on being an excellent employer that values innovation and collaboration. Our remote work culture fosters flexibility and inclusivity, allowing you to thrive while leading impactful projects in the Lloyd's insurance sector. With a focus on professional development and a commitment to employee well-being, we offer a supportive environment where your contributions are recognised and rewarded.
Contact Details:
Greybridge Search & Selection Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Applied Scientist
✨Tip Number 1
Familiarise yourself with the latest trends and advancements in NLP and information retrieval. This will not only help you during interviews but also demonstrate your passion and commitment to the field.
✨Tip Number 2
Network with professionals in the AI and data science community, especially those who work in similar roles. Attend relevant meetups or conferences to make connections that could lead to valuable insights or referrals.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented NLP or machine learning solutions. Be ready to explain your thought process, challenges faced, and how you overcame them to achieve results.
✨Tip Number 4
Showcase your leadership skills by discussing experiences where you've mentored others or led a team. Highlight how you fostered collaboration and innovation, as these qualities are crucial for the Lead Applied Scientist role.
We think you need these skills to ace Lead Applied Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in NLP, machine learning, and information retrieval. Include specific projects or roles where you've demonstrated these skills, especially in a commercial context.
Craft a Compelling Cover Letter:In your cover letter, express your passion for AI and how your background aligns with the responsibilities of a Lead Applied Scientist. Mention your PhD or relevant experience and how it prepares you for leading research teams.
Showcase Your Technical Expertise:Provide examples of your hands-on experience with building NLP/IR systems. Discuss any production code you've written and how you've managed software delivery effectively.
Highlight Leadership and Collaboration Skills:Emphasise your experience in mentoring and leading teams. Share instances where you've collaborated with product, engineering, and design teams to drive innovation and iterate based on customer feedback.
How to prepare for a job interview at Greybridge Search & Selection
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with NLP and information retrieval systems. Highlight specific projects where you've successfully implemented AI solutions, focusing on the technical challenges you faced and how you overcame them.
✨Demonstrate Leadership Skills
As a Lead Applied Scientist, you'll need to show your ability to lead a team. Share examples of how you've mentored others, driven stakeholder engagement, and contributed to a collaborative environment in previous roles.
✨Align with Business Objectives
Understand the company's goals and be ready to discuss how your work can drive product innovation and value. Prepare to explain how you've previously aligned AI technologies with business strategies in your past experiences.
✨Prepare for Problem-Solving Scenarios
Expect to tackle complex problems during the interview. Practice articulating your thought process when approaching these challenges, and be ready to demonstrate how you translate complex issues into actionable AI applications.
