10 of 10 Permanent 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 ❯

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 ❯

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 ❯

the business with key insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology used. This will ensure that they fully understand and … the business. Qualifications About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear and tangible examples of time when your insights and analysis have made an impact on More ❯

the business with key insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology used. This will ensure that they fully understand and … the business. Qualifications About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear and tangible examples of time when your insights and analysis have made an impact on 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 ❯

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 ❯

Monitor online discourse to identify misinformation and distorted narratives beyond basic sentiment analysis. Design, develop, and test an initial prototype of AI and ML predictive engine and computer vision system according to the requirement of the project. Review current workflows in the company and specify the functional requirements to integrate the new system. Investigation and implementation of prototype More ❯

do Analyse trading risk and client flow across asset classes (equities, FX, rates, credit, commodities) Support scenario modelling, stress testing, and capital-at-risk frameworks Research market psychology, sentiment shifts, and behavioural patterns in investor flow Build and enhance dashboards and tools (Python/Excel) to support decision-making Present insights to senior stakeholders and contribute to firm … a collaborative spirit, and a desire to learn fast Nice to have Exposure to trading/risk systems (Bloomberg, Refinitiv, etc.) Research in behavioural economics or sentiment analysis Understanding of narrative-driven price moves in flow-heavy markets About Us CMC Markets is one of the world's first ever fin-tech companies and was launched in More ❯

on data automation, dashboards, and analytics pipelines . Responsibilities Monitor, summarise, and analyse media coverage across EMEA, delivering both qualitative and quantitative insights. Apply sentiment and trend analysis to contextualise local and regional media activity. Provide insights into regional news cycles and policy issues to inform strategy. Build scalable data pipelines to ingest, clean, and transform media … KPIs, and prepare visual reports. Collaborate with analytics, data engineering, and communications teams to integrate press and media data with internal datasets. Minimum Qualifications 2+ years’ experience in media analysis, journalism, communications, research, or related fields . Bachelor’s degree in Communications, Journalism, Political Science, Marketing, Economics, Data Science, or similar. Strong English communication skills; ability to draft clear More ❯