14 of 14 Sentiment Analysis Jobs in the UK

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 ❯

and optimize low latency, high throughput APIs that expose real time token mindshare and sentiment metrics to downstream clients. Design and implement real time sentiment analysis 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 pre … built 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 … 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 ❯

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 ❯

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 ❯

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 ❯

performing, collaborative environment What They’re Looking For Strong background in Python and applied machine learning Experience with LLMs and NLP , particularly around speech-to-text or customer feedback analysis Ability to contribute to client discussions, understand business needs, and translate them into ML solutions Familiarity with modern ML frameworks (e.g. HuggingFace, Scikit-learn, PyTorch) Comfortable working in a … prompt engineering or fine-tuning LLMs Cloud platform experience (Azure, GCP preferred) Exposure to MLOps practices and deployment workflows Previous work in customer analytics, personalisation, or sentiment analysis You’ll report to a Lead or the VP of Data Science depending on the project, and join a collaborative, forward-thinking team where GenAI is a strategic priority. 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 ❯

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 ❯

Machine Learning Applications in Everyday Life: The self-driving Google car Social listening applications Web search results Prediction of success and failures Credit scoring Text-based sentiment analysis Pattern recognition Online recommendations or offers on big eCommerce sites (Amazon, Netflix) Address: 3rd floor 207 Regent Street London W1B 3HH UK 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 ❯