NLP Research Scientist

About the Role

Our client is seeking an inquisitive and talented NLP Research Scientist to join their innovative team in Nottingham . This hybrid role is dedicated to pushing the boundaries of Natural Language Processing, developing novel algorithms and models for tasks such as text understanding, generation, and translation. You will conduct cutting-edge research, collaborate with engineers to implement findings, and contribute to the advancement of AI-powered language technologies. The ideal candidate has a strong academic background in NLP and a proven ability to translate theoretical concepts into practical, high-impact applications.

Key Responsibilities

• Conduct research into state-of-the-art NLP techniques, including deep learning models for language understanding and generation.
• Develop and implement new NLP algorithms, models, and architectures.
• Process and analyze large text datasets, performing tasks like sentiment analysis, named entity recognition, and topic modeling.
• Collaborate with software engineers to integrate NLP models into products and services.
• Publish research findings in top-tier AI and NLP conferences and journals.
• Evaluate and improve the performance of NLP systems, ensuring accuracy and efficiency.

Requirements

• PhD or Master's degree in Computer Science, Computational Linguistics, or a related field with a focus on NLP.
• 3+ years of research experience in Natural Language Processing.
• Strong proficiency in Python and experience with NLP libraries (e.g., NLTK, SpaCy) and deep learning frameworks (e.g., PyTorch, TensorFlow).
• Deep understanding of language models (e.g., Transformers, BERT) and related architectures.
• Experience with data preprocessing, feature engineering, and evaluation metrics for NLP tasks.
• Excellent written and verbal communication skills.

Benefits

• Competitive salary and performance-based rewards.
• Hybrid working model offering flexibility and work-life balance.
• Comprehensive health and wellness benefits.
• Support for continuous learning, including conference attendance and training.
• An intellectually stimulating research environment in Nottingham .