Open roleExternal
Senior AI Engineer - NLP Specialist
- wolverhampton, west midlands, WV1 1DH, United Kingdom
- Permanent·Remote
- Full time
- £80,000 - £80,000 Per Annum
Job Description
About the Role
Our client is seeking a highly skilled Senior AI Engineer with a specialization in Natural Language Processing (NLP) to join their fully remote team. You will be instrumental in developing and deploying advanced NLP models that power conversational AI, text analytics, and intelligent automation solutions. This role requires a deep understanding of linguistic data, cutting-edge NLP techniques, and the ability to build scalable, production-ready AI systems. Working remotely, you will collaborate with a distributed team of experts in AI and Emerging Technologies, contributing to impactful projects that push the boundaries of human-computer interaction.
Key Responsibilities
- Design, develop, and implement state-of-the-art NLP models for tasks such as sentiment analysis, text classification, machine translation, and question answering.
- Process and analyze large volumes of text data, preparing it for model training.
- Integrate NLP solutions into various applications and platforms, ensuring seamless user experiences.
- Collaborate with data scientists and software engineers to deploy and maintain NLP models in production.
- Stay current with the latest research and advancements in NLP and deep learning.
Requirements
- Master's or PhD in Computer Science, Computational Linguistics, or a related field.
- 5+ years of professional experience in AI/ML, with a strong focus on NLP.
- Expertise in Python and NLP libraries/frameworks (e.g., spaCy, NLTK, Hugging Face Transformers, TensorFlow/PyTorch).
- Proven ability to build and deploy complex NLP models in a production environment.
- Strong understanding of machine learning principles and deep learning architectures relevant to NLP.
Benefits
- Competitive salary and equity options.
- Fully remote position with flexible working hours.
- Comprehensive health, dental, and vision insurance.
- Generous budget for professional development, conferences, and training.
- Opportunity to work on challenging and impactful NLP projects from anywhere.