15 of 15 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

real-time model deployment frameworks to support production trading environments. Collaborate with traders, quants, and technologists to prototype and scale strategies from research to execution. Conduct rigorous backtesting, performance analysis, and explainability assessments of machine learning models. Contribute to the development of quantitative libraries and shared research infrastructure. Qualifications & Skills Essential: Strong expertise in machine learning, statistical modelling, and … Kubernetes, MLflow, Airflow) and distributed computing (Spark, Ray). Experience with alpha signal generation, regime detection, or portfolio optimization. Exposure to alternative/ESG datasets, macroeconomic indicators, and sentiment analysis. More ❯

real-time model deployment frameworks to support production trading environments. Collaborate with traders, quants, and technologists to prototype and scale strategies from research to execution. Conduct rigorous backtesting, performance analysis, and explainability assessments of machine learning models. Contribute to the development of quantitative libraries and shared research infrastructure. Qualifications & Skills Essential: Strong expertise in machine learning, statistical modelling, and … Kubernetes, MLflow, Airflow) and distributed computing (Spark, Ray). Experience with alpha signal generation, regime detection, or portfolio optimization. Exposure to alternative/ESG datasets, macroeconomic indicators, and sentiment analysis. More ❯

real-time model deployment frameworks to support production trading environments. Collaborate with traders, quants, and technologists to prototype and scale strategies from research to execution. Conduct rigorous backtesting, performance analysis, and explainability assessments of machine learning models. Contribute to the development of quantitative libraries and shared research infrastructure. Qualifications & Skills Essential: Strong expertise in machine learning, statistical modelling, and … Kubernetes, MLflow, Airflow) and distributed computing (Spark, Ray). Experience with alpha signal generation, regime detection, or portfolio optimization. Exposure to alternative/ESG datasets, macroeconomic indicators, and sentiment analysis. More ❯

real-time model deployment frameworks to support production trading environments. Collaborate with traders, quants, and technologists to prototype and scale strategies from research to execution. Conduct rigorous backtesting, performance analysis, and explainability assessments of machine learning models. Contribute to the development of quantitative libraries and shared research infrastructure. Qualifications & Skills Essential: Strong expertise in machine learning, statistical modelling, and … Kubernetes, MLflow, Airflow) and distributed computing (Spark, Ray). Experience with alpha signal generation, regime detection, or portfolio optimization. Exposure to alternative/ESG datasets, macroeconomic indicators, and sentiment analysis. More ❯

real-time model deployment frameworks to support production trading environments. Collaborate with traders, quants, and technologists to prototype and scale strategies from research to execution. Conduct rigorous backtesting, performance analysis, and explainability assessments of machine learning models. Contribute to the development of quantitative libraries and shared research infrastructure. Qualifications & Skills Essential: Strong expertise in machine learning, statistical modelling, and … Kubernetes, MLflow, Airflow) and distributed computing (Spark, Ray). Experience with alpha signal generation, regime detection, or portfolio optimization. Exposure to alternative/ESG datasets, macroeconomic indicators, and sentiment analysis. More ❯