7 of 7 Natural Language Processing Jobs in the Midlands

They are looking for someone who can collaborate closely with a multi-disciplined and distributed work function, utilise machine/deep learning and Natural Language Processing (NLP) to integrate AI solutions into products and services. Key skills and experience required: - Hands-on AI and ML Engineering experience - Experience developing in Python and it's relevant ML frameworks More ❯

PyTorch, etc.) Hands-on experience deploying models into production environments Solid grasp of algorithms, data structures, and statistical modelling Familiarity with cloud platforms (AWS, GCP, Azure) Bonus: Experience with NLP, computer vision, recommendation systems Why Apply: 100% remote UK-based Work with cutting-edge US AI teams Access to multiple roles with one application Fast, free hiring process Some roles More ❯

hospitality sector approaches pricing and forecasting . The team is applying advanced ML techniques to solve real commercial problems-everything from demand forecasting to booking behaviour clustering and light NLP use cases. THE ROLE: You'd join a high-calibre team in a full-stack data science role . This role will be deeply analytical and mathematical , with an emphasis More ❯

successful AI Engineer will have the following skills and experience: Strong Python with AI/ML exposure Experience with LLMs, RAG pipelines, document extraction Prior work with multimodal data (NLP, CV, tabular) THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits. HOW More ❯

successful AI Engineer will have the following skills and experience: Strong Python with AI/ML exposure Experience with LLMs, RAG pipelines, document extraction Prior work with multimodal data (NLP, CV, tabular) THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £70,000 On top of the salary there are some fantastic extra benefits. HOW More ❯

An early-career technologist looking to gain a formal qualification while working on meaningful, real-world applications. Required skills: Solid foundation in AI/ML principles (e.g. neural networks, NLP, transformers, speech processing). Hands-on experience with Python and popular ML frameworks (e.g. PyTorch, TensorFlow, Hugging Face). Familiarity with LLM APIs and open-source models (e.g. GPT More ❯

the hospitality sector approaches pricing and forecasting. The team is applying advanced ML techniques to solve real commercial problems-everything from demand forecasting to booking behaviour clustering and light NLP use cases. THE ROLE: You'd join a high-calibre team in a full-stack data science role where you'll build and deploy models end-to-end, owning projects … from experimentation to production. A Data Scientist (forecasting) will need to: Building and deploying ML models (Python, Pandas, GCP) Forecasting revenue Exploring clustering techniques Applying NLP to classify ancillary bookings Collaborating with a small, high-calibre team of PhD-level Data Scientists, Engineers, and wider product team YOUR SKILLS AND EXPERIENCE: A successful Data Scientist will have the following skills More ❯