10 of 10 Permanent Sentiment Analysis Jobs in London

with a solid understanding of neural networks and the Transformer architecture. Familiar with foundational NLP tasks such as tokenization, Named Entity Recognition, and sentiment analysis. Experience with modern approaches built on pretrained language models – fine-tuning and transfer learning, text and token classification. Working knowledge of large language ...

stay at the forefront of the industry. Responsibilities Develop ML models for various financial market regimes, forecasting, event risk assessment, sentiment analysis, and market classification. Construct LLM/RAG/tool-calling agents to enhance market intelligence and streamline client workflows. Oversee model evaluation, backtesting, hallucination testing … deployment of ML models and AI agents. Qualifications Strong proficiency in Python, with a solid understanding of ML fundamentals, including classification, clustering, time series analysis, and regime detection. Hands-on experience with LLM/RAG/agent technologies, demonstrating a track record of shipping models beyond notebooks. In-depth ...

Tuning, quantisation and Low‐Rank Adaptation. Experience applying machine learning and deep learning methods to NLP tasks such as Text Embeddings, Sentiment Analysis, Named Entity Recognition, Knowledge Graphs, Multilingual Text and Topic Extraction. Demonstrated research excellence and a strong understanding of machine learning principles, algorithms and statistical ...

influence future innovations, and ensure a unified go‐to‐market strategy. Measure & Optimize 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 ...

within the People team. Build and deploy custom AI assistants (GPTs or agents) to handle internal queries, audit payroll data, and assist in sentiment analysis. Integration Engineering: Ensure our People tech stack (ATS, HRIS, LMS, Payroll) is fully joined up, minimising data silos and ensuring a seamless sign ...

data into intelligent insights that help businesses understand their customers at scale. You’ll define how organizations collect, interpret, and act on customer sentiment — shaping a product that bridges customer experience, analytics, and automation. Responsibilities Own the product strategy and roadmap for Clarity’s Voice of the Customer … marketing and GTM teams to position and launch VoC capabilities effectively. Collaborate with the AI and data science teams to enhance sentiment analysis, topic detection, and trend dashboards. Prioritize initiatives that integrate VoC insights with other Clarity modules (Agent Assist, Inbox, Analytics). Stay ahead of market ...

decade, Bloomberg has been at the forefront of applying Artificial Intelligence, ML, and NLP to financial intelligence, powering products in sentiment analysis, classification, document understanding, recommendation, and generative AI. Critical to this effort are our AI platforms, which enable teams to rapidly and robustly build, deploy, evaluate ...

over a decade, Bloomberg has been at the forefront of applying AI, ML, and NLP to financial intelligence, powering products in sentiment analysis, classification, document understanding, recommendation, and generative AI. Critical to this effort are our AI platforms, which enable teams to rapidly and robustly build, deploy ...

opportunities through intelligent data processing. Multi-Source Data Integration: Consolidates information from multiple digital channels into a single, accessible platform. Automated Insights & Reporting: Streamlines analysis through intuitive dashboards, visualisations and reporting. Stakeholder Intelligence: Helps organisations better understand customer needs, monitor engagement and inform strategic decisions. Scalable SaaS Architecture: Flexible … account expansion. Either: Experience selling SaaS into local government, public safety or the wider public sector. Or: Experience selling social listening, sentiment analysis, social media analytics or AI/data intelligence SaaS/PaaS platforms. Confident managing complex sales cycles and engaging senior stakeholders. Proactive, commercially ambitious ...

Cloud) or specialized clouds (Marketing, Data, Revenue, or Tableau). Familiarity with AI agents or automation tools applied to data mapping, sentiment analysis, or task automation. Understanding of how target cloud platforms integrate with telephony systems, third-party data sources, and self-service portals. Degree or equivalent ...