7 of 7 Permanent Sentiment Analysis Jobs in the UK excluding London

is passionate about learning and applying data science in the fast-paced world of events and hospitality. What You’ll Do Event & Guest Data Analysis Analyse guest behaviour, ticketing trends, attendance, and feedback to extract actionable insights. Support marketing and sales with campaign and engagement performance metrics. Design and … personalised recommendations. Validate AI outputs and help improve algorithms using real-world feedback. Research trends in hospitality AI (e.g., dynamic pricing, sentiment analysis) and test innovative approaches. Data Infrastructure & Governance Ensure accuracy and consistency of data across CRM, ticketing, and event platforms. Assist in standardising and centralising More ❯

and using GenAI. Proactively develop an understanding of key business problems and processes. Execute tasks throughout the model development process, including data wrangling/analysis, model training, testing, and selection. Generate structured and meaningful insights from data analysis and modelling exercises, and present them in an appropriate format … according to the audience. Collaborate with other data scientists and machine learning engineers to deploy machine learning solutions. Conduct ad-hoc and periodic analysis as required by business stakeholders, the model risk function, and other groups. Required qualifications, capabilities, and skills Proven experience post-advanced degree (MS, PhD) in … such as NumPy, pandas, and scikit-learn, as well as R. Understanding and usage of the OpenAI API. NLP: tokenization, embeddings, sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering, including tools like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). Experience in More ❯

Lead research initiatives in natural language processing, focusing on designing, implementing, and fine-tuning large language models Develop novel approaches to code understanding and analysis using ML/NLP models Create and evaluate representations that combine source code with natural language elements Conduct experiments and literature reviews to enhance … Master's or Ph.D. in Computer Science, Data Science, Statistics, or related field 3-5 years experience in NLP subdomains like sentiment analysis or natural language understanding Proficiency in Python and relevant libraries (TensorFlow, PyTorch, Hugging Face, etc.) Strong understanding of machine learning engineering and software development More ❯

field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent experience, 7+ years of industry experience in predictive modelling, data science and analysis, with prior experience in a ML or data scientist role and a track record of building ML or DL models. Responsibilities and skills: Work … summarisation, attribute extraction, etc. Preferable experience in one or more of the following areas: recommender systems, moderation of user generated content, sentiment analysis, etc. OR Speech recognition, speech to text and vice versa, understanding NLP and IR, text summarisation, statistical and deep learning approaches to text processing. More ❯

voice, and other channels. Apply natural language processing (NLP) and natural language understanding (NLU) techniques such as intent recognition, entity extraction, sentiment analysis, and named entity recognition to inform conversation logic. Design effective, brand-aligned prompts and interactions for large language models (LLMs), including GPT-based systems. More ❯

into Dynamics 365 to streamline workflows. Enhance CI/CD pipelines and support continuous integration and deployment. Leverage AI tools for sentiment analysis, call transcriptions, and customer data insights. Collaborate with cross-functional teams to digitize processes, including customer onboarding and third-party integrations. Mentor colleagues and More ❯

processing, IVR/IVA, Workflow management, native RPA connector/copilot for core Generative AI features like Content Creation, Summarisation, Classification, Sentiment Analysis, Code Generation with internal/external LLMs. Your Key Responsibilities: You'll assist with development workstream, including building and testing automations. You'll be More ❯