AI Research Lead

📋 Description

• Lead research and development activities across LLM, VLM, and multimodal AI domains.
• Design, implement, and evaluate AI models incorporating text, image, and multimodal reasoning
• Develop and optimise Retrieval-Augmented Generation (RAG) architectures.
• Drive experimentation, model evaluation, benchmarking, and validation activities.
• Fine-tune and adapt foundation models for business-specific use cases.
• Collaborate with engineering teams to transition research outputs into production-ready systems.

🎯 Requirements

• Expertise with Large Language Models (LLMs) such as GPT, Llama, Mistral, or equivalent.
• Experience with Vision Language Models (VLMs) including CLIP, BLIP, and related multimodal
• Strong understanding of prompt engineering, fine-tuning, and model optimisation.
• Experience designing and implementing RAG pipelines.
• Deep knowledge of multimodal AI, vision-language fusion, and reasoning systems.
• Experience evaluating model performance, robustness, and safety.

🎁 Benefits

• A personalised career path and a rewarding management style
• A huge diversity of engineering projects and industries
• Private Medical Insurance
• Cycle & Tech Scheme
• Employee assistance programme
• Life insurance & Pension Scheme