8 of 8 Sentiment Analysis Jobs in the UK excluding London

from Pattern matching, Chatbot implementation, 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 Formal training or certification on software engineering concepts and advanced applied experience. Experience in statistical inference and experimental design (such as probability, linear … skills with Python, including libraries 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 anomaly detection techniques, algorithms, and More ❯

with at least one programming language (e.g., Python , JavaScript ) for custom logic and Lambda functions Understanding of NLP concepts such as intent recognition, entity extraction, and sentiment analysis More ❯

engagement, retention, DEI, and organisation design, helping Arm anticipate and navigate how the world of work is changing Introduce advanced analytics capabilities such as predictive modelling, sentiment analysis, and organisational network analysis to shape our strategy and decision making Partner with colleagues across the People Group to define, prioritise, and deliver data-driven solutions, insights and More ❯

a new affective channel that can be explored in art. The controls available in standard Virtual Reality (VR) can be supplemented with speech recognition, natural language processing, and sentiment analysis. We aim to embody this potential in the front end of a new audiovisual interface, which would translate detected meanings of utterances to the morphing of abstract 3D …/or audio based projects Experience with real-time system optimisation (e.g. low-latency audio/visual feedback in VR) Experience with speech recognition (e.g. whisper), sentiment analysis, or emotion classification Experience with data backup systems Experience with working in interdisciplinary teams Excellent communication and interpersonal skills. Creative problem-solving skills Self-motivation and capable of independent More ❯

chatbot strategy using Power Virtual Agents , ensuring seamless integration with D365 and escalation flows to human agents. 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 Customer 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 ❯

Ability to work independently and as part of a team in a fast-paced environment Basic understanding of NLP concepts like intent classification, entity recognition, and sentiment analysis * Free services are subject to limitations #J-18808-Ljbffr More ❯

chatbot strategy using Power Virtual Agents , ensuring seamless integration with D365 and escalation flows to human agents. 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 Customer 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 ❯

Services. Key Skills: * 6+ years in Dynamics 365 CE (3+ in Customer Service/Omnichannel) * Proven CCaaS and telephony integration experience * AI & automation expertise (Agent Assist, Virtual Agents, Sentiment Analytics) * Strong communication and stakeholder engagement Certifications like MB-230 or PL-600 are a plus. Apply now to shape the future of customer engagement at enterprise scale. More ❯