21 of 21 Sentiment Analysis Jobs in England

work via a Tier 1 consultancy for a public sector organisation, shaping a secure, scalable ArcGIS solution aligned with the NELI roadmap and supporting advanced stakeholder sentiment analysis using Azure OpenAI . Key Responsibilities: GIS Platform Architecture Lead end-to-end architecture of the ArcGIS Enterprise environment using best practices and reference architectures (ESRI Options … Integrate structured/unstructured data from systems like Salesforce, CSAT scores, BI tools, and media feeds . Develop centralised, compliant data capture and storage solutions with robust auditability. Data Analysis, Reporting, and Visualisation Implement AI models for theme and sentiment analysis . Build user-triggered reporting dashboards and synthesis tools with search and filtering capabilities. Enable … . Practical expertise in Azure OpenAI or similar LLM/AI platforms for solution development. Familiarity with Salesforce , BI tools, CSAT/NPS metrics, and media sentiment analysis . Strong understanding of DevOps , IaC (Terraform/ARM), GitHub Actions/Azure DevOps. Experience creating interactive dashboards and reporting tools for non-technical audiences. Knowledge of public sector More ❯

platform that captures the power of data visualization and modelling to build more adaptable, and better performing organizations. HR, finance and business leaders use Orgvue for actionable insight and analysis that helps them make faster workforce decisions in a constantly changing world. Orgvue is used by the world's largest and best-known enterprises and management consulting firms to … to identify data needs, map user journeys, and spot behaviour trends. Responsibilities Define, track, and report on core product KPIs (activation, engagement, retention, churn) Conduct user pathway and journey analysis to understand how customers interact with the product across touchpoints, and identify critical drop-off points within onboarding, core workflows, and feature usage Combine qualitative and quantitative data for … data quality and accuracy 2+ years of experience as a Product Analyst, Data Analyst, or similar role in a B2B SaaS environment Proven experience conducting user journey/pathway analysis and diagnosing drop-off points Experience working with qualitative data analysis, e.g., sentiment analysis, to craft a coherent customer satisfaction and pain-point analysis More ❯

or equivalent commercial experience; Detailed knowledge of one or more of the following fields: Entity Recognition and Disambiguation Concept/Topic Extraction Document summarization Trend Detection Sentiment Analysis Substantial programming experience (preferably in a commercial environment) Clojure or similar languages (e.g. Java or Python) Software collaboration and revision control (e.g. Git or SVN) Desired skills and experiences …/Kibana Cloud computing (e.g. AWS) Hadoop/Spark etc. Graph Databases Educational level: Master Degree Tagged as: Clustering , Data Mining , Industry , Information Retrieval , Master Degree , Sentiment Analysis , United Kingdom More ❯

landscape. Responsibilities and Duties Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search , image-text matching , and online content analysis … Experience with image processing , feature extraction , and text preprocessing techniques . Solid understanding of algorithms for tasks such as object detection , image classification , text extraction , and sentiment analysis . Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with the ability to translate business challenges More ❯

landscape. Responsibilities and Duties Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search , image-text matching , and online content analysis … Experience with image processing , feature extraction , and text preprocessing techniques . Solid understanding of algorithms for tasks such as object detection , image classification , text extraction , and sentiment analysis . Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with the ability to translate business challenges More ❯

specific prompts. This is a unique opportunity to contribute to a business-critical tool with a bold roadmap for FY25-26, including features like synthetic audiences, sentiment analysis, and personalisation. The role is ideal for an enthusiastic and innovative developer who is curious about emerging technologies and AI trends. You'll work in an agile environment, contributing … to technical decision-making, including Generative AI features such as Retrieval Augmented Generation (RAG), prompt engineering, and application design. . Design and develop new features, including sentiment analysis, data ingestion, and synthetic audience creation, while supporting Agile delivery through sprint planning and documentation. Essential: . Experience in Python programming. . Experience building Laravel applications to implement effective More ❯

Responsibilities: * Design scalable AI architectures integrating data from Salesforce, BI tools, CSAT, media coverage, and meeting notes * Implement compliant data capture and centralised storage solutions * Develop sentiment analysis, theme detection, and synthesis reporting tools * Create dashboards and visualisations for key stakeholder insights * Enable advanced search and filtering for data analytics and reporting Skills & Experience: * Strong background in … AI solution design and architecture * Experience with Salesforce integration and BI tools * Familiarity with sentiment analysis and media monitoring * Proficiency in dashboard creation and data visualisation * Excellent communication and stakeholder engagement skills More ❯

the salary range, so candidates are not expected to be experienced in all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or Spark for data insights Data Bricks/Data QISQL for data access 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 ❯

direction of our organisation. Key Responsibilities Build and optimize lowlatency, highthroughput APIs that expose realtime token mindshare and sentiment metrics to downstream clients. Design and implement realtime sentimentanalysis and NLP pipelines for social feeds (Twitter, Reddit, Discord, Telegram, etc.), covering ingestion, tokenization, entity extraction, and sentiment scoring. Develop and train ML models, starting with prebuilt services … and advancing to custom transformer architectures, to continuously improve the accuracy and relevance of sentiment signals. Collaborate with cross-functional teams (frontend, design, marketing, product) to roadmap and deliver new ML-driven insights and to design intuitive consumer-facing dashboards and alert systems that visualize real-time mindshare and sentiment metrics aligned with product goals. Ensure … problem-solver who is eager to innovate and push boundaries in the DeFi space. Deep expertise in data engineering and ML pipelines, with strong understanding of sentiment analysis, topic modeling, and production model deployment Thrives in scrappy start-up environments, seeing ambiguity as an opportunity rather than an obstacle. Comfortable taking ownership of complex problems and transforming More ❯

has been a trailblazer in its application of AI, Machine Learning (ML), and Natural Language Processing (NLP) in finance. We build models and systems that power sentiment analysis, classification, question answering, document understanding, recommendation, and more, using state of the art AI techniques including generative AI. Critical to this effort are our AI platforms, which enable teams More ❯

macroeconomics, currencies, and digital assets. Were building tools that dont just react to markets - they anticipate them. Our flagship product, Trading Co-Pilot, delivers real-time sentiment analysis, predictive forecasts, and narrative detection that help our clients stay ahead of market-moving events. With a team of world-class engineers, data scientists, and commercial strategists, were on More ❯

days per week Contract: 6+ months, starting ASAP Day Rate: Competitive market rate Key Responsibilities: Design an AI-driven solution using Azure OpenAI to capture and analyse stakeholder sentiment and feedback from diverse sources including emails, meeting recordings, consultation responses, and surveys Develop a scalable architecture that integrates data from platforms such as Salesforce, BI tools, CSAT scores … Data Capture and Storage: Implement both automated and manual data capture mechanisms for centralised storage Ensure compliance with legal and regulatory standards, with full traceability for audit purposes Data Analysis and Reporting: Apply AI tools to identify themes and sentiment across captured data Build user-triggered synthesis reports and dashboards to surface insights on stakeholder sentiment … Create dashboards and visualisation tools tailored to stakeholder groups and specific use cases Key Requirements: Experience integrating Salesforce and BI tools Familiarity with media monitoring and sentiment analysis platforms Proficiency in dashboard creation and data visualisation Strong communication skills 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 … business. About You 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 ❯

Overview The candidate will work alongside a multidisciplinary team of aviation consultants, AI engineers, policy experts, and UX developers. The role involves: Prototyping AI/NLP tools for policy analysis and consultation feedback processing Building retrieval-augmented generation (RAG) systems to provide policy guidance Preparing datasets and pipelines using structured and unstructured regulatory data Contributing to model evaluation and … across the policy development lifecycle Cleaning, transforming, and preparing data for AI models Implementing and fine-tuning NLP models for tasks such as classification, clustering, and sentiment analysis Assisting in the development and testing of AI features for internal proof-of-concept tools Collaborating with the UX and front-end team to ensure output usability Supporting model More ❯

For example: Lead the designing and implementation of an improved PC & Console Market Data page. Manage the relationship with teams responsible for building a user review sentiment analysis tool. Project manage the platform localisation into key languages. Monitor and improve VGI platform data accuracy , including managing ground-truth validation and discrepancy reporting workflows. Set up and maintain … industry trends. 2-3 years of professional experience, preferably in a strategy/commercial role with a B2B or SaaS startup or management consulting firm. Demonstrated experience with Excel analysis and modelling and experience in telling a story through PowerPoint or Google Slides. Strong communication skills with the ability to convert technical jargon into layman’s terms. Experience working More ❯

For example: Lead the designing and implementation of an improved PC & Console Market Data page. Manage the relationship with teams responsible for building a user review sentiment analysis tool. Project manage the platform localisation into key languages. Monitor and improve VGI platform data accuracy , including managing ground-truth validation and discrepancy reporting workflows. Set up and maintain … industry trends. 2-3 years of professional experience, preferably in a strategy/commercial role with a B2B or SaaS startup or management consulting firm. Demonstrated experience with Excel analysis and modelling and experience in telling a story through PowerPoint or Google Slides. Strong communication skills with the ability to convert technical jargon into layman’s terms. Experience working More ❯

Power Apps and Power Automate into Dynamics 365 to streamline workflows. Enhance CI/CD pipelines and support continuous integration and deployment. Leverage AI tools for sentiment analysis, call transcriptions, and customer data insights. Collaborate with cross-functional teams to digitize processes, including customer onboarding and third-party integrations. Mentor colleagues and communicate technical concepts to non 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 ❯

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 ❯

with top-tier organisations ranging from government, well-known brands to life-changing not-for-profits. They are the disrupter brand in polling, voting intention, and sentiment analysis, working on elections and social research issues across the UK and broader Europe. Their tech is making waves and is quickly being adopted in the commercial sectors for various More ❯