Senior AI Research Scientist – Natural Language Processing

Our client is at the forefront of innovation and is seeking a talented Senior AI Research Scientist specializing in Natural Language Processing (NLP) to join their globally distributed team. This is a fully remote position, offering you the opportunity to conduct groundbreaking research and development from anywhere in the UK. You will contribute to the creation of advanced AI systems that understand, interpret, and generate human language with unprecedented accuracy and nuance. This role demands a deep theoretical understanding and practical experience in state-of-the-art NLP techniques.

• Conducting cutting-edge research in NLP, including areas such as sentiment analysis, machine translation, question answering, text generation, and dialogue systems.
• Designing, implementing, and evaluating novel deep learning models and algorithms for NLP tasks.
• Developing and fine-tuning large language models (LLMs) and transformer-based architectures.
• Collaborating with a team of AI researchers and engineers to translate research findings into practical applications.
• Publishing research findings in top-tier AI conferences and journals.
• Contributing to the intellectual property portfolio through patent applications.
• Staying abreast of the latest advancements in AI, machine learning, and NLP through literature review and experimentation.
• Mentoring junior researchers and providing technical guidance.
• Developing and maintaining robust, scalable, and efficient NLP pipelines and tools.
• Working with large datasets, including data cleaning, preprocessing, and feature engineering.
• Presenting research progress and results to stakeholders and management.

• The ideal candidate will possess a Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field, with a strong publication record in NLP.
• A minimum of 5 years of research experience in AI/ML, with a significant focus on NLP.
• Proven expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Experience with state-of-the-art NLP models (e.g., BERT, GPT, T5) and techniques.
• Strong programming skills in Python and proficiency in relevant libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
• Excellent analytical, problem-solving, and critical thinking skills.
• This remote role requires a self-starter with the ability to work independently and collaborate effectively within a distributed team.

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