5 of 5 Sentiment Analysis Jobs in Slough

and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating 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 ❯

keeping the features you rely on to close more deals. By combining CRM, video calls, note-taking, media management, sales rooms, sentiment analysis, and more, our AI-powered analysis delivers more integrated data insights for better decision-making and stronger relationships. This results in accelerated sales 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 ❯

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 ❯