11 of 11 Sentiment Analysis Jobs in the UK

testing strategies, and technical direction, including Generative AI solutions involving RAG and prompt engineering. Maintaining documentation and Agile project processes. Assisting with new feature development in sentiment analysis, data ingestion, and synthetic audience creation. As a member of the Disability Confident Scheme, Circle and our Client guarantees to interview all candidates who have a disability and who More ❯

testing strategies, and technical direction, including Generative AI solutions involving RAG and prompt engineering. Maintaining documentation and Agile project processes. Assisting with new feature development in sentiment analysis, data ingestion, and synthetic audience creation. As a member of the Disability Confident Scheme, Circle and our Client guarantees to interview all candidates who have a disability and who More ❯

and deployment processes.Contribute to technical decisions around prompt engineering, RAG, and generative AI solutions.Document processes and support agile project management activities.Engage in developing features related to sentiment analysis, data ingestion, and synthetic audience creation. What We're Looking For: Proven experience building applications with Large Language Models (LLMs), including tool usage and information retrieval.Strong proficiency in Python More ❯

of novel NLP algorithms and models, pushing the boundaries of artificial intelligence. Design and implement advanced deep learning architectures for tasks such as text generation, summarization, sentiment analysis, and machine translation. Conduct cutting-edge research in areas like transformer models, large language models (LLMs), and explainable AI (XAI) for NLP. Collaborate with a global team of researchers More ❯

experience of working with Blue Prism Cloud technology to deliver complex automations. Expert knowledge of Blue Prism RPA, iOCR, Blue Prism Cloud Cognitive Tools (language translation, sentiment analysis, keyword classification, interact e-forms, chatbot and orchestrator. Practical experience of managing the automation lifecycle complying to the Blue Prism best practice standards Experience of engaging with customers on More ❯

/.net/C#/Java, Javascript, Web Services, HTML/CSS Extensive knowledge of Blue Prism RPA, iOCR, Blue Prism Cloud Cognitive Tools (language translation, sentiment analysis, keyword classification, interact e-forms, chatbot and orchestrator). As well as PowerPlatform, PowerAutomate, and M365 technologies. Practical experience of managing the automation lifecycle complying to the best practice More ❯

a software company based near Brighton. We design, develop and distribute our own products, including a Unified Communications App and AI-powered tools for call transcription, sentiment analysis and meeting summaries. We also build and support bespoke software applications for selected customers. Our team combines deep technical expertise with a passion for building scalable, cloud-deployed products … applications. Manage issue tracking and communication with developers and clients. Collect and analyse feedback to drive improvements. You’ll Work With WebRTC UC clients AI speech-to-text & sentiment software SaaS platforms built on PHP (Laravel), Node.js and React/React Native Google Cloud Platform (Cloud Run, Cloud Functions, Cloud SQL etc.) GitLab CI/CD Requirements Essential More ❯

a pragmatic way Experience with analytical and quantitative problem solving using advanced statistical techniques, ML and generative AI methods for online content, e.g. sentiment from text, sequence analysis, forecasting and trend analysis Experience in building and deploying reproducible, production-ready AI/ML models at scale, coupled with solid data engineering skills Prior knowledge of NLP More ❯

analytics, and creative storytelling to help major UK media and entertainment brands make smarter advertising decisions. Their work includes innovative methods like biometrics, emotion tracking, and AI-driven sentiment analysis. Key responsibilities: Lead end-to-end delivery of ad effectiveness and media measurement projects Guide methodology selection ensuring actionable insights Develop and evolve strategic research offerings Drive commercial More ❯

sophisticated machine learning algorithms (e.g., Gradient Boosting, NLP, Deep Learning, Graph Analytics, Reinforcement Learning) for use cases such as fraud detection, credit scoring, algorithmic trading, customer segmentation, and sentiment analysis. Stakeholder Management: Collaborate closely with business leaders (e.g., Risk, Marketing, Trading, Operations) to translate complex business problems into actionable data science projects with clear KPIs and ROI. Technical … Pandas, NumPy, Scikit-learn). Proficiency in SQL is essential. Machine Learning: Deep, hands-on experience with a wide range of ML techniques (supervised/unsupervised learning, time-series analysis, ensemble methods). Advanced AI: Practical experience with Deep Learning frameworks (e.g., TensorFlow, PyTorch) for applications like NLP (Transformer models, BERT) or computer vision. Big Data Tools: Experience with … Experience (Preferred) Publications in recognized AI/ML journals or conferences. Experience with cloud platforms (AWS SageMaker, Google Vertex AI, Azure ML). Knowledge of graph databases and network analysis techniques. Experience with real-time model inference and API development (e.g., FastAPI, Flask). Personal Attributes Strategic Thinker: Ability to see the "big picture" and align data science projects More ❯

surfacing, and context-aware automation. Collaborate with HCLTech Architects to define the chatbot strategy using Copilot Studio. Design AI for Supervisors including real-time dashboards, conversation intelligence, and sentiment analytics. Guide implementation of Intelligent IVR leveraging Azure Communication Services or integrated CCaaS platforms. Platform Integration & Governance Oversee the integration of telephony systems (e.g., Genesys, NICE, Five9, Azure Communication … integrations. Strong command of Copilot Service Workspace configuration and extensibility (e.g., session templates, macros, app profiles). Expertise in AI-powered features: agent assist, conversation intelligence, call transcription, sentiment scoring. Experience with Power Platform, including Power Automate, Power Apps, and Power Virtual Agents. Solid knowledge of Azure components such as Azure Communication Services, Bot Framework, Logic Apps, Cognitive More ❯