4 of 4 Sentiment Analysis Jobs in the UK

deploy machine learning models for predictive analytics, classification, clustering, and recommendation systems. Utilize Natural Language Processing (NLP) and Large Language Models (LLMs) for text analysis, sentiment analysis, and generative AI applications. Build and maintain production-grade ML pipelines using CI/CD, MLOps, and cloud platforms … Azure, AWS, GCP). Conduct A/B testing and randomized control trials to validate model performance and business impact. Perform data analysis on structured and unstructured datasets using Python, SQL, and big data frameworks (Hadoop, PySpark). Develop and optimize data retrieval systems using RAG, FAISS, Elasticsearch ...

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 ...

GDPR and Toyota FS standards. Execute phased rollout of surveys, starting with small samples for refinement. Enable advanced analytics capabilities, including sentiment analysis and text mining. Provide interactive dashboards for stakeholders to track insights and KPIs. Collaborate with Research Lead, Design Lead, and Account Lead to align ...

within CRM platforms, including predictive analytics, intelligent routing, and automated insights Configure and deploy AI-powered features such as lead scoring, sentiment analysis, sophisticated integration and automation models, and recommendation engines Stay current with emerging AI technologies and assess their applicability to client challenges Educate clients … software. Experience in change management and user adoption strategies Strong understanding of sales, marketing, and customer service business processes Experience with business process modelling, analysis, and optimization methodologies Familiarity with AI/ML concepts and their practical application in CRM contexts Excellent communication and presentation skills Strong problem-solving ...