15 of 15 Sentiment Analysis Jobs in London

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯