12 of 12 Sentiment Analysis Jobs in the UK

prompt engineering. - Contributing to the required documentation and Agile project maintenance responsibilities. - Helping to design and develop incoming features around sentiment analysis, data ingestion and synthetic audience creation. Essential Skills for the AI Engineer: - Must have experience in building Large Language Model based applications incorporating tool usage ...

practices align with organisational goals. Key Responsibilities Customer Insights: Build churn prediction models, apply clustering and segmentation, and use NLP for sentiment analysis to improve service quality and retention strategies. Operational Performance: Develop forecasting models for network demand, implement anomaly detection for outages and latency, and create … Optimise field operations through predictive scheduling and route planning, support inventory forecasting, and identify fraudulent or abusive usage patterns using ML techniques. Financial & Strategic Analysis: Deliver cost-to-serve models, profitability analysis, and scenario modelling to guide investment and regulatory decisions. Geospatial Analytics: Apply spatial modelling and visualisation ...

systems, CTI, and contact center platforms. Proven experience designing and deploying AI-driven customer support solutions (e.g., chatbots, voicebots, agent assist, sentiment analysis). Strong knowledge of cloud-native architectures (AWS, Azure, GCP) and microservices. Familiarity with real-time data processing, event-driven systems, and API-first ...

ROLE Customer Science Develop and implement predictive models to understand drivers of customer behaviour, including purchase patterns, customer lifetime events and sentiment analysis Create sophisticated customer segmentation using behavioural, transactional, and demographic data Design and build predictive models to enhance personalized customer experiences across all channels Collaborate ...

influence future innovations, and ensure a unified go-to-market strategy. Measure & optimise impact: Use Zendesk analytics and AI performance metrics (sentiment analysis, ticket deflection, time-to-resolution) to demonstrate ROI and inform continuous improvement. Champion AI adoption: Collaborate with Customer Success to drive AI adoption through ...

associated phrases, entities, contexts, and business rules that define distinct conversational experiences. Apply concepts and practices related to NLP/NLU, sentiment analysis, Intent classification, dialog flows, text-to-speech, and speech-to-text to the conversational design process. Understand how data from API calls, databases ...

Rank Adaptation Experience applying machine learning and deep learning methods to a range of NLP-related tasks, such as Text Embeddings, Sentiment Analysis, Named Entity Recognition, Knowledge Graphs, Multilingual Text and Topic Extraction A proven track record of research excellence and a deep understanding of machine learning ...

sources (Workday, SuccessFactors, Oracle HCM, LinkedIn Talent Insights, etc.) or related workforce datasets. Knowledge of people analytics methodologies such as attrition modelling, pay equity analysis, employee lifetime value, skills inference, or organisational network analysis. Familiarity with big data frameworks (Spark, Databricks, Dask) and cloud platforms (AWS, Azure, GCP). … Professional Qualifications Degree in a quantitative discipline (applied mathematics, statistics, computer science, economics, organisational psychology, or related field). Demonstrable experience in exploratory data analysis, feature engineering, and predictive modelling. Experience with Python, Scikit-learn, and PyTorch. Ideally with exposure to PySpark, Snowflake, AWS, and GitHub (MLOps practices). ...

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 … 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 ...

ambassadors. Guarding against brand fragmentation and upholding standards across regions and outputs. Measuring, Monitoring, and Evolving Brand Health: Commissioning and interpreting brand research, sentiment tracking, and competitive audits. Defining and reporting on brand health KPIs tied to perception, trust, and engagement. Using insights to continuously refine positioning … leadership skills to inspire cross-functional teams as brand ambassadors. Analytical skills to commission, interpret, and act on brand research, sentiment analysis, and competitive insights. The ability to define, measure, and report on brand health KPIs tied to perception, trust, and engagement. A collaborative mindset with experience ...

enabled solutions across the business. Some of the use cases that the business are looking at include: Co Pilot, Sentiment Analysis, Complaint and Question Handling and Investment research and Analytics. Essential Skills & Experience Strong background in organisational change management, ideally within digital or transformation programmes. Proven experience ...

Brighton. We design, develop and distribute our own products, including a Unified Communications App and AI-powered tools for call transcription, sentiment analysis and meeting summaries. We also build and support bespoke software applications for selected customers. Our team combines deep technical expertise with a passion ...