3 of 3 Remote/Hybrid Natural Language Processing Jobs in Manchester

Head of Artificial Intelligence

Hiring Organisation
xyz
Location
Manchester Area, United Kingdom
lead the development and implementation of AI-driven initiatives, manage a team of AI/ML experts, and oversee the application of machine learning, natural language processing, and computer vision technologies. Responsibilities include driving strategic AI projects, collaborating across departments, and ensuring that AI solutions align with … objectives and deliver measurable value. Qualifications Expert knowledge in Computer Science and Data Science Proficiency in Pattern Recognition, Natural Language Processing (NLP), and Computer Vision Strong leadership and team management skills Ability to translate complex technical concepts into practical business applications Track record of successfully delivering ...

Head of Data Science and AI

Hiring Organisation
NICE – The National Institute for Health and Care Excellence
Location
Manchester, M1 3BN, United Kingdom
Salary
£66582.00 to £77368.00
services. Skills/Knowledge Essential Demonstrable in-depth understanding of a wide range of data science techniques, such as machine learning and natural language processing, and detailed knowledge of at least one specialism Skills/Knowledge Essential Extensive expertise in stakeholder management, ability to strengthen relationships ...

Senior Data Scientist

Hiring Organisation
Harnham - Data & Analytics Recruitment
Location
Manchester, Lancashire, England, United Kingdom
Employment Type
Full-Time
Salary
£70,000 - £90,000 per annum
modelling, fraud detection, and optimisation. The Role * Deliver full lifecycle AI and ML projects from prototype to production. * Build applied AI workflows including LLMs, NLP, and RAG-based solutions. * Work with large and messy tabular datasets to create high-impact models. * Develop classification and optimisation approaches to enhance customer outcomes. … more AI-driven product ecosystem. Your Skills and Experience * Strong commercial experience deploying AI and ML systems into production. * Hands-on experience with LLMs, NLP, or retrieval-augmented workflows. * Confident working with large-scale tabular datasets and complex data environments. * Cloud experience, ideally AWS, plus familiarity with MLOps practices. * Background ...