Senior NLP Researcher

Senior NLP Researcher - London

About the Opportunity Join our client's cutting-edge AI research team as they push the boundaries of Large Language Model technology. We're seeking an experienced researcher who thrives on solving complex challenges in foundation model development and wants to make a real impact on the future of AI.

What You'll Be Doing

Advanced Research & Innovation

• Drive breakthrough research in LLM architectures, transformer optimisation, and novel training methodologies
• Explore parameter-efficient techniques, quantisation strategies, and innovative pretraining approaches
• Pioneer developments in multi-modal AI systems and next-generation language understanding

Technical Leadership & Implementation

• Build and optimise large-scale training infrastructures for foundation model development
• Design robust data engineering solutions for complex multi-modal datasets
• Lead end-to-end model deployment from research prototype to production-ready systems
• Implement distributed training frameworks and inference optimisation pipelines

Collaboration & Mentorship

• Work closely with cross-disciplinary teams to translate research breakthroughs into practical applications
• Provide technical guidance and mentorship to junior team members
• Contribute to research culture through knowledge sharing and best practice development

Essential Requirements

Professional Experience

• Hands-on experience in NLP, deep learning, and transformer-based architectures
• Demonstrated involvement in LLM projects including training, fine-tuning, or production deployment
• Strong track record in scalable AI system development

Technical Expertise

• Expert-level Python programming with deep knowledge of PyTorch, TensorFlow, or JAX
• Proven experience with distributed computing environments and modern MLOps workflows
• Practical knowledge of LLM toolkits (Hugging Face ecosystem, training frameworks)
• Strong problem-solving abilities for complex model performance and infrastructure challenges

Highly Valued

• Advanced degree (Master's/PhD) in Computer Science, Machine Learning, or related discipline
• Research publications in leading AI/ML conferences
• Cloud platform experience (AWS, GCP, Azure) with production ML deployment
• Experience with enterprise-scale data engineering and workflow orchestration tools

What Our Client Offers Competitive salary package, comprehensive private healthcare, and exceptional benefits in a collaborative research environment that prioritises innovation and professional growth.