11 of 11 Sentiment Analysis Jobs in London

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 ❯

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 ❯

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 ❯

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 ❯

Thoughtonomy) technology to deliver complex healthcare automations within the NHS. Expert knowledge of Blue Prism RPA, iOCR (ABBY & Decipher), Blue Prism Cloud Cognitive Tools (language translation, sentiment analysis, keyword classification, interact e-forms, chatbot and orchestrator. Experience of developing solutions using Microsoft Power Apps and Microsoft Flow (Automate) NHS specific IT system experience Experience of facilitating change 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 ❯