18 of 18 Sentiment Analysis Jobs in the UK

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 ❯

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 ❯

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 ❯

from Pattern matching, Chatbot implementation, and using GenAI. Proactively develop an understanding of key business problems and processes. Execute tasks throughout the model development process, including data wrangling/analysis, model training, testing, and selection. Generate structured and meaningful insights from data analysis and modelling exercises and present them in an appropriate format according to the audience. Collaborate … with other data scientists and machine learning engineers to deploy machine learning solutions. Conduct ad-hoc and periodic analysis as required by business stakeholders, the model risk function, and other groups. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience. Experience in statistical inference and experimental design (such as probability, linear … skills with Python, including libraries such as NumPy, pandas, and scikit-learn, as well as R. Understanding and usage of the OpenAI API. NLP: tokenization, embeddings, sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering, including tools like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). Experience in anomaly detection techniques, algorithms, and More ❯

with at least one programming language (e.g., Python, JavaScript) for custom logic and Lambda functions Understanding of NLP concepts such as intent recognition, entity extraction, and sentiment analysis More ❯

engagement, retention, DEI, and organisation design, helping Arm anticipate and navigate how the world of work is changing Introduce advanced analytics capabilities such as predictive modelling, sentiment analysis, and organisational network analysis to shape our strategy and decision making Partner with colleagues across the People Group to define, prioritise, and deliver data-driven solutions, insights and More ❯

and interpersonal skills, with the ability to effectively collaborate with cross-functional teams Strong problem-solving and decision-making abilities Knowledge of agile project management methodologies Experience with data analysis and reporting Ability to adapt to changing priorities and work well under pressure Project management certification (e.g., PMP) is a plus Bachelor's degree in a relevant field Areas … Consider 1. Customer Service Enhancement Chatbots and Virtual Assistants: Deploy AI-driven chatbots to handle routine inquiries, provide 24/7 support, and reduce wait times. Sentiment Analysis: Use AI to analyze customer feedback and sentiment from various channels to improve services. 2. Fraud Detection and Prevention Real-Time Monitoring: Implement AI algorithms to detect More ❯

Platforms Your role will be to build extensible systems that provide compounding value over time. You'll: Build the initial sentiment and topic classification models for review analysis Develop merchant benchmarking methodology across various industry categories Create data pipelines that integrate with our existing systems Implement efficient ETL processes to ensure data quality and reliability Design the … experience in data engineering and data science roles Strong programming skills in Python and SQL Experience building NLP/ML models, particularly for text classification or sentiment analysis Background in developing data pipelines and ETL processes Proven ability to translate complex data models into business insights Experience working with large datasets (preferably e-commerce or review data … Strong communication skills to collaborate with product and design teams Nice-to-Haves Experience with e-commerce platforms, especially Shopify Background in trust metrics or customer experience analysis Knowledge of dashboard design and data visualization best practices Experience with cloud-based data infrastructure (AWS) Familiarity with modern data stack tools (Airflow, dbt, etc.) Why This Role Matters Judge.me is More ❯

who is passionate about discovering and solving complicated problems, learning complex systems, working with numbers, and organizing and communicating data and reports. In compatibility program, RA perform Big data analysis to identify patterns, train model to generate product to product relationship and product to brand & model relationship. RA also continuously improve the ML solution for higher solution accuracy, efficiency … functional specifications based on business requirements as well as writes and reviews business cases. Key job responsibilities • Scoping, driving and delivering complex projects across multiple teams. • Performs root cause analysis by understand the data need, get data/pull the data and analyze it to form the hypothesis and validate it using data. • Conducting a thorough analysis of … scalable solution for business problem by executing pilots and build Deterministic and ML model (plug and play on readymade ML models and python skills). • Performs supporting research, conduct analysis of the bigger part of the projects and effectively interpret reports to identify opportunities, optimize processes, and implement changes within their part of project. • Coordinates design effort between internal More ❯

a new affective channel that can be explored in art. The controls available in standard Virtual Reality (VR) can be supplemented with speech recognition, natural language processing, and sentiment analysis. We aim to embody this potential in the front end of a new audiovisual interface, which would translate detected meanings of utterances to the morphing of abstract 3D …/or audio based projects Experience with real-time system optimisation (e.g. low-latency audio/visual feedback in VR) Experience with speech recognition (e.g. whisper), sentiment analysis, or emotion classification Experience with data backup systems Experience with working in interdisciplinary teams Excellent communication and interpersonal skills. Creative problem-solving skills Self-motivation and capable of independent More ❯

metadata. Detail-oriented mindset, with a proactive approach to error detection and quality assurance. Familiarity with LLMs and NLP pipelines (entity linking, topic modeling, text classification, sentiment analysis, etc) Familiarity with data querying and manipulation (SQL, Python, etc) Must Have Data Annotation Data querying and manipulation Familiarity with LLMs Natural Language Processing (NLP) Ontology Development Taxonomy Management More ❯

metadata. Detail-oriented mindset, with a proactive approach to error detection and quality assurance. Familiarity with LLMs and NLP pipelines (entity linking, topic modeling, text classification, sentiment analysis, etc) Familiarity with data querying and manipulation (SQL, Python, etc) Must Have Data Annotation Data querying and manipulation Familiarity with LLMs Natural Language Processing (NLP) Ontology Development Taxonomy Management More ❯

chatbot strategy using Power Virtual Agents, ensuring seamless integration with D365 and escalation flows to human agents. 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 Customer 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 ❯

Services. Key Skills: * 6+ years in Dynamics 365 CE (3+ in Customer Service/Omnichannel) * Proven CCaaS and telephony integration experience * AI & automation expertise (Agent Assist, Virtual Agents, Sentiment Analytics) * Strong communication and stakeholder engagement Certifications like MB-230 or PL-600 are a plus. Apply now to shape the future of customer engagement at enterprise scale. More ❯

Key Outcomes: Retain your customers, secure their renewal and hit retention targets Amplify Customer Loyalty : Champion customer retention, ensuring seamless renewals and surpassing retention targets. Master Sentiment Analysis : Identify and neutralise potential sentiment risks across diverse stakeholders, from end users to top decision-makers, fostering enduring relationships. Empower Customer Advocacy : Lead as a vocal customer More ❯

Key Outcomes: Retain your customers, secure their renewal and hit retention targets Amplify Customer Loyalty : Champion customer retention, ensuring seamless renewals and surpassing retention targets. Master Sentiment Analysis : Identify and neutralise potential sentiment risks across diverse stakeholders, from end users to top decision-makers, fostering enduring relationships. Empower Customer Advocacy : Lead as a vocal customer 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 ❯