11 of 11 Sentiment Analysis Jobs in the UK

human insight. Our global clients rely on us to deliver top-tier datasets for Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Direct Preference Optimisation (DPO), Sentiment Analysis, and more. We’re a trusted data partner for model development, and our projects span multiple languages and cultures. With our cutting-edge work and state-of-the-art … quality assurance and validation of machine-generated transcripts, utilising human-in-the-loop and RLHF processes. Work on training data for developing and current ASR, TTS, sentiment analysis, emotional tone detection, and preference modelling tasks. Collaborate with linguists, engineers, and AI researchers to refine annotation standards. Identify and flag edge cases or quality issues in datasets. Contribute More ❯

human insight. Our global clients rely on us to deliver top-tier datasets for Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Direct Preference Optimisation (DPO), Sentiment Analysis, and more. We’re a trusted data partner for model development, and our projects span multiple languages and cultures. With our cutting-edge work and state-of-the-art … quality assurance and validation of machine-generated transcripts, utilising human-in-the-loop and RLHF processes. Work on training data for developing and current ASR, TTS, sentiment analysis, emotional tone detection, and preference modelling tasks. Collaborate with linguists, engineers, and AI researchers to refine annotation standards. Identify and flag edge cases or quality issues in datasets. Contribute More ❯

human insight. Our global clients rely on us to deliver top-tier datasets for Automatic Speech Recognition (ASR), Text-to-Speech (TTS), Direct Preference Optimisation (DPO), Sentiment Analysis, and more. We’re a trusted data partner for model development, and our projects span multiple languages and cultures. With our cutting-edge work and state-of-the-art … quality assurance and validation of machine-generated transcripts, utilising human-in-the-loop and RLHF processes. Work on training data for developing and current ASR, TTS, sentiment analysis, emotional tone detection, and preference modelling tasks. Collaborate with linguists, engineers, and AI researchers to refine annotation standards. Identify and flag edge cases or quality issues in datasets. Contribute More ❯

and natural language processing techniques to both structured and unstructured data sources. Monitor key CX metrics (NPS, CSAT, conversion rates) to identify emerging trends, opportunities, and risks. Conduct exploratory analysis to uncover customer pain points and behavioural patterns. Translate data into actionable insights that influence decisions across Finance, Operations, Sales, and Marketing. Support the testing, piloting, and scaling of … AI-driven tools like sentiment analysis, predictive models, and smart feedback systems. Make insights accessible to non-technical stakeholders through clear storytelling and impactful data visualisations. Champion best practices in customer insights and contribute to the ongoing development of the global Voice of Customer programme. About You We're looking for someone who brings: A degree 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 ❯

clients CX challenges and identify how CCaaS and AI solutions can meet their business goals. Develop and present tailored demonstrations and proof of concepts etc. Create proposal including ROI analysis etc. Technical Expertise: Translate business requirements into technical specifications. Design scalable technical architectures for Contact Centre and AI based customer service. Maintain knowledge of contact centre and AI trends … Experience Bachelors or Masters degree in Computer Science, or a related field. Strong knowledge of AI and machine learning technologies related to customer experience (chatbots, NLP, sentiment analysis, etc.) Experience with Contact Centre/CX platforms and their integration with AI. Knowledge of cloud platforms (AWS, Azure, Google Cloud) and data management systems (CRM, ERP) Min More ❯

departments. Ideally you will also have some: Familiarity with Connex, or other call centre/marketing platforms. Understanding of AI and automation in customer service (chatbots, sentiment analysis, etc.). Experience with data analytics, BI tools (e.g., Tableau, Power BI), and performance dashboards. This fantastic new role is to be based in the companys office in Liverpool More ❯

recommendations that contribute to operational efficiency and better customer engagement. Gather and interpret data from multiple sources (web analytics, heatmaps, surveys, VoC, interaction analytics, operational metrics). Conduct structured analysis of customer behaviour & attitudes and identify key opportunities for improvement. Translate findings into clear reports and dashboards, highlighting pain points and improvement opportunities. Communicate insights in clear, simple language …/optimisation and heatmapping platforms. Ability to interpret data and present actionable recommendations clearly. Exposure to customer journeys, CX best practices in B2B environment, VoC programmes, sentiment analysis, or customer research methods. (desirable) Knowledge of programming (e.g. SQL, Python, R) for deeper analysis. About SSE SSE has a bold ambition – to be a leading energy company in More ❯

learn how to spot patterns, build reports, and share your findings with people who make real-world decisions. Along the way, you'll develop in-demand skills in data analysis, reporting, and communication - setting you up for an exciting career in tech, data, or beyond. In this role, you'll work towards your Level 4 Data Analyst qualification, delivered … Job: • Support the organisation in managing, analysing, and reporting on carers' data to improve service delivery and monitor staff performance. • Apply statistical techniques such as descriptive statistics, time series analysis, and data/text mining to identify trends and patterns. • Translate complex data into actionable insights and evidence-based recommendations for improving staff performance and service delivery. • Collaborate with … providing clear narratives around data insights. • Maintain confidentiality and ethical standards when handling sensitive and personal information. • Analyse unstructured data using text mining techniques such as sentiment analysis and word clouds. Full training and support will be provided by your workplace mentor and from the team at Baltic Apprenticeships. Desired Qualities, Skills and Knowledge • Skilled in extracting 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 ❯

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 ❯