19 of 19 Sentiment Analysis Jobs in the UK

Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non-technical audiences, manage stakeholder More ❯

Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non-technical audiences, manage stakeholder More ❯

Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non-technical audiences, manage stakeholder More ❯

Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non-technical audiences, manage stakeholder More ❯

Skills and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non-technical audiences, manage stakeholder More ❯

templates using LLM summarization, structured extraction, and embedding-based clustering Craft intelligent prompts: Build and maintain the library of system prompts for ticket summarization, theme extraction, sentiment analysis, and qualitative insights Define reporting standards: Set quality bars for what makes a great dashboard (agent performance, app store trends, CSAT drivers, topic evolution, etc.) Optimize RAG pipelines: Design … reports or products using LLMs—prompt engineering, structured output generation, embeddings, RAG, summarization pipelines Python proficiency: Comfortable with pandas, OpenAI library, API integrations, and data manipulation for prototyping and analysis SQL fluency: Can write complex queries and understand data modeling Analytics tools: Experience with modern analytics platforms (Looker, Tableau, Mode, Metabase, etc.) Unique Strengths Simplification superpower: Exceptional ability to … Startup mindset: Self-starter who moves fast, wears multiple hats, and ships iteratively Bonus Points Experience with text analytics, NLP, or customer experience (CX) analytics Background in time-series analysis, anomaly detection, or forecasting Prior work at analytics agencies or consulting delivering bespoke reporting Exposure to AI infrastructure (vector databases, embeddings, semantic search) Experience at early-stage startups or More ❯

templates using LLM summarization, structured extraction, and embedding-based clustering Craft intelligent prompts: Build and maintain the library of system prompts for ticket summarization, theme extraction, sentiment analysis, and qualitative insights Define reporting standards: Set quality bars for what makes a great dashboard (agent performance, app store trends, CSAT drivers, topic evolution, etc.) Optimize RAG pipelines: Design … reports or products using LLMs—prompt engineering, structured output generation, embeddings, RAG, summarization pipelines Python proficiency: Comfortable with pandas, OpenAI library, API integrations, and data manipulation for prototyping and analysis SQL fluency: Can write complex queries and understand data modeling Analytics tools: Experience with modern analytics platforms (Looker, Tableau, Mode, Metabase, etc.) Unique Strengths Simplification superpower: Exceptional ability to … Startup mindset: Self-starter who moves fast, wears multiple hats, and ships iteratively Bonus Points Experience with text analytics, NLP, or customer experience (CX) analytics Background in time-series analysis, anomaly detection, or forecasting Prior work at analytics agencies or consulting delivering bespoke reporting Exposure to AI infrastructure (vector databases, embeddings, semantic search) Experience at early-stage startups or More ❯

templates using LLM summarization, structured extraction, and embedding-based clustering Craft intelligent prompts: Build and maintain the library of system prompts for ticket summarization, theme extraction, sentiment analysis, and qualitative insights Define reporting standards: Set quality bars for what makes a great dashboard (agent performance, app store trends, CSAT drivers, topic evolution, etc.) Optimize RAG pipelines: Design … reports or products using LLMs—prompt engineering, structured output generation, embeddings, RAG, summarization pipelines Python proficiency: Comfortable with pandas, OpenAI library, API integrations, and data manipulation for prototyping and analysis SQL fluency: Can write complex queries and understand data modeling Analytics tools: Experience with modern analytics platforms (Looker, Tableau, Mode, Metabase, etc.) Unique Strengths Simplification superpower: Exceptional ability to … Startup mindset: Self-starter who moves fast, wears multiple hats, and ships iteratively Bonus Points Experience with text analytics, NLP, or customer experience (CX) analytics Background in time-series analysis, anomaly detection, or forecasting Prior work at analytics agencies or consulting delivering bespoke reporting Exposure to AI infrastructure (vector databases, embeddings, semantic search) Experience at early-stage startups or More ❯

templates using LLM summarization, structured extraction, and embedding-based clustering Craft intelligent prompts: Build and maintain the library of system prompts for ticket summarization, theme extraction, sentiment analysis, and qualitative insights Define reporting standards: Set quality bars for what makes a great dashboard (agent performance, app store trends, CSAT drivers, topic evolution, etc.) Optimize RAG pipelines: Design … reports or products using LLMs—prompt engineering, structured output generation, embeddings, RAG, summarization pipelines Python proficiency: Comfortable with pandas, OpenAI library, API integrations, and data manipulation for prototyping and analysis SQL fluency: Can write complex queries and understand data modeling Analytics tools: Experience with modern analytics platforms (Looker, Tableau, Mode, Metabase, etc.) Unique Strengths Simplification superpower: Exceptional ability to … Startup mindset: Self-starter who moves fast, wears multiple hats, and ships iteratively Bonus Points Experience with text analytics, NLP, or customer experience (CX) analytics Background in time-series analysis, anomaly detection, or forecasting Prior work at analytics agencies or consulting delivering bespoke reporting Exposure to AI infrastructure (vector databases, embeddings, semantic search) Experience at early-stage startups or More ❯

templates using LLM summarization, structured extraction, and embedding-based clustering Craft intelligent prompts: Build and maintain the library of system prompts for ticket summarization, theme extraction, sentiment analysis, and qualitative insights Define reporting standards: Set quality bars for what makes a great dashboard (agent performance, app store trends, CSAT drivers, topic evolution, etc.) Optimize RAG pipelines: Design … reports or products using LLMs—prompt engineering, structured output generation, embeddings, RAG, summarization pipelines Python proficiency: Comfortable with pandas, OpenAI library, API integrations, and data manipulation for prototyping and analysis SQL fluency: Can write complex queries and understand data modeling Analytics tools: Experience with modern analytics platforms (Looker, Tableau, Mode, Metabase, etc.) Unique Strengths Simplification superpower: Exceptional ability to … Startup mindset: Self-starter who moves fast, wears multiple hats, and ships iteratively Bonus Points Experience with text analytics, NLP, or customer experience (CX) analytics Background in time-series analysis, anomaly detection, or forecasting Prior work at analytics agencies or consulting delivering bespoke reporting Exposure to AI infrastructure (vector databases, embeddings, semantic search) Experience at early-stage startups or More ❯

optimize key areas: Supply Chain & Logistics: Predictive analytics for demand forecasting, inventory management, and transportation optimization. Customer Engagement & Marketing: Personalized recommendations, AI driven customer insights, agent deployment, and sentiment analysis. Product Development: Advanced data analytics to improve footwear/apparel and innovation. Ensure AI models are explainable, scalable, and integrated with existing workflows. Communicate AI strategies, initiatives, and 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 ❯

/.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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯