At a Glance
- Tasks: Lead a team in developing cutting-edge AI solutions using NLP and information retrieval.
- Company: Join a top-tier Data Science Lab known for innovation and excellence.
- Benefits: Enjoy a hybrid work model with flexible office days and great corporate perks.
- Other info: Opportunity to mentor others and influence long-term AI strategies.
- Why this job: Be part of a dynamic culture that values collaboration, innovation, and continuous learning.
- Qualifications: PhD or Master's with experience in NLP/IR systems and strong coding skills required.
The predicted salary is between 54000 - 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
- Synthetic data generation
- 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
- Document Understanding
- Knowledge Graphs
- Information Extraction
- PyTorch, Hugging Face, Python
- 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 apply today!
Lead Applied Scientist in Slough 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 in Slough
✨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. Attend relevant meetups, webinars, or conferences to connect with potential colleagues and learn about the latest industry challenges and solutions.
✨Tip Number 3
Prepare to discuss your previous projects in detail, especially those involving NLP and machine learning. Be ready to explain your thought process, the challenges you faced, and how you overcame them.
✨Tip Number 4
Showcase your leadership skills by discussing any mentoring or coaching experiences you've had. Highlight how you've fostered collaboration and innovation within your teams, as this is crucial for the Lead Applied Scientist role.
We think you need these skills to ace Lead Applied Scientist in Slough
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 the Lead Applied Scientist role. Mention your experience in leading teams and driving innovation, as well as your understanding of customer problems.
Showcase Your Research Experience:If you have published research or intellectual property, make sure to include this in your application. Highlight any relevant publications that demonstrate your expertise in NLP or related fields.
Prepare for Technical Questions:Be ready to discuss your hands-on experience with building NLP/IR systems and your approach to translating complex problems into AI applications. Think about examples that showcase your problem-solving and analytical skills.
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 that you can lead a team effectively. Share examples of how you've mentored others or led projects, emphasising your ability to drive collaboration and innovation within a team.
✨Align with Business Objectives
Understand the company's goals and be ready to discuss how your work can align with their business objectives. Prepare to explain how your research and AI solutions can drive product innovation and add value to the organisation.
✨Prepare for Stakeholder Engagement
Since the role involves engaging with various stakeholders, practice articulating complex ideas in a clear and concise manner. Be ready to discuss how you would collaborate with Product, Engineering, and Design teams to ensure successful project outcomes.
