1 to 25 of 59 Sentiment Analysis Jobs in London

edge tools and methodologies in the rapidly evolving field of data analytics. Substance Global is a digital marketing agency; as such a proficiency in sentiment and social analysis via social listening tools like Brandwatch/Talkwater/etc, working knowledge and of 3rd party tools such as Sprinklr, Sprout Social and GWI. As well as experience working … tools (explores, views, etc) which will enable users across the organization to self-serve analytics Work closely with key stakeholders to understand business requirements and provide data ready for analysis and reporting. Blended data approaches include owned, earned, and paid data sources. Plus, the inclusion of social listening and 3rd party data sources. Continuously discover, transform, test, deploy and More ❯

as Git. Required Skills: Experience in retraining LLMs on various datasets. Conversational AI. Python. Docker. Preferred Skills: Experience with specialized AI domains such as conversational AI, sentiment analysis, or recommendation systems. Knowledge of model interpretability techniques and responsible AI practices. Familiarity with MLOps pipelines for continuous integration and deployment of AI models. Experience with API development and More ❯

as Git. Required skills Experience in retraining LLMs on various datasets Conversational AI Python Docker Preferred Skills: Experience with specialized AI domains such as conversational AI, sentiment analysis, or recommendation systems. Knowledge of model interpretability techniques and responsible AI practices. Familiarity with MLOps pipelines for continuous integration and deployment of AI models. Experience with API development and More ❯

raw data to enhance model accuracy and performance. Apply statistical techniques to analyse data and uncover patterns. Implement validation and monitoring strategies to maintain model accuracy over time. Data Analysis & Insights Analyse large and complex datasets to extract actionable insights that drive business value. Work closely with data engineers and analysts to prepare and transform data for model development. … Generate insights from data using Exploratory Data Analysis (EDA) and model interpretability tools such as SHAP and LIME. Undertake preprocessing of structured and unstructured data, including text processing and cleaning for NLP applications. Strategic Collaboration & Product Development Work with product managers and stakeholders to ensure AI solutions align with business needs and customer expectations. Contribute to the development of … Science, Computer Science, or a related field. Experience in productionizing machine learning models and working with APIs for data extraction. Experience with NLP including Text Classification, Sentiment Analysis, and Topic Modelling using tools like NLTK, BERT, and GCP NLP API. Fluent in English, both verbal and written What We Offer Competitive base salary 26 days holiday + 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 ❯

and execute ecosystem CRM strategy focused on developer ecosystem needs. Ensure data quality and consistency across platforms. Create a unified reporting framework showing clear business impact. Oversee Data Collection & Analysis Projects: Run end-to-end social listening and research projects, ensuring smooth execution from data collection to insights delivery. Focus on translating data into actionable insights that support business … learning tools to optimize data collection, Enhance insights generation, and improve predictive accuracy across ecosystem data. Integrate AI-driven methodologies for tasks such as trend prediction, sentiment analysis, and community behavior modeling to deepen understanding and guide strategic decisions. Link Data to Business Objectives: Establish a metrics-based framework for linking ecosystem and social intelligence data to … with data, through decks, dashboards, and presentations that simplify complex insights and emphasize their relevance to business goals for both technical and business audiences Current in marketing effectiveness, data analysis, and Web3 analytics, with a commitment to producing high-impact insights. Initiative and Curiosity: Proactive approach, with an inherent curiosity that drives continuous learning and innovative problem-solving. Skilled More ❯

environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy More ❯

environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy More ❯

Contribute to the development of scalable algorithms for processing large datasets, implement and evaluate machine learning and deep learning algorithms for tasks such as text classification, sentiment analysis, entity recognition, and summarization. Assist in the design, development, and testing of ML models for real-time processing of unstructured data. Collaborate with senior team members to analyze the … of data structures and algorithms. Proficient in Machine Learning, including understanding Neural Networks and foundational concepts of NLP tasks such as Tokenization, Named Entity Recognition (NER), Sentiment Analysis, Part-of-Speech (POS) Analysis. Experience or coursework in Deep Learning frameworks like TensorFlow or PyTorch. Strong problem-solving skills and a curiosity for learning new technologies. Good verbal 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 ❯

help users make data-informed decisions. Specific AI experience: Expertise in designing systems that process and interpret data, enabling products such as: Assistants or co-pilots Sentiment analysis tools for customer feedback Chatbots and conversational interfaces Summaries of complex data to support users to make decisions or take action Diagnostics Personalization or recommendation systems Predictive analytics Data … visualizations incorporating AI insights Anomaly detection Experience in designing for comprehension, and trust in the results of the AI summary or analysis Collaboration with AI Engineers and Data Scientists: Bridging the gap between design and technical teams by translating abstract AI concepts into functional, user-friendly designs. Ability to work with engineers to understand how ML algorithms and frameworks More ❯

environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy More ❯

environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy More ❯

environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy More ❯

environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present work to clients, disseminating complex information in an easy More ❯

part of our daily culture. Your Skills and Experience Proficiency in AI techniques such as supervised and unsupervised machine learning, GenAI, deep learning, graph analytics, NLP, sentiment analysis, etc. Excellent communication skills to present complex work clearly to clients and manage stakeholder relationships. Experience winning work with private and public sector clients, including participating in RFI/ 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 ❯

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 ❯

spaCy, Transformers, and other NLP frameworks. Work with cross-functional teams to implement machine learning solutions for diverse applications, including but not limited to text embeddings, sentiment analysis, question answering, summarization, and topic modeling. Utilize your expertise in semantic search, prompt engineering, and large language models (LLMs) to create robust NLP systems. Optimise and fine-tune models … control systems (Git). Knowledge of SQL and database management. NLP Competencies : Strong understanding of NLP techniques like text embeddings, named entity recognition, machine translation, summarization, sentiment analysis, and more. Hands-on experience with pre-trained LLMs such as BERT and GPT, and advanced NLP techniques like semantic search, RAG, and agent-based models. Professional Experience : Commercial More ❯

and digital assets. We’re building tools that don’t 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, we’re More ❯

create an ecosystem maturity model. Lead CRM Implementation & Integration: Develop and execute CRM strategies focused on developer needs; ensure data quality; create a unified reporting framework. Oversee Data Collection & Analysis Projects: Manage social listening and research projects; translate data into insights supporting growth and governance monitoring; maintain early warning systems. Develop Innovative Research Methodologies: Design mixed-methodology studies addressing … marketing, and ecosystem initiatives. Leverage AI for Data Insights: Use AI and machine learning tools to optimize data collection, insights, and predictive accuracy; incorporate trend prediction, sentiment analysis, and community modeling. Link Data to Business Objectives: Establish metrics linking ecosystem data to IO's strategic goals, demonstrating contributions of community initiatives. Promote Social Intelligence: Educate teams on 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 ❯

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 ❯

skills Significant experience of working with automation technology to deliver complex automations Extensive knowledge of Blue Prism RPA, iOCR, Blue Prism Cloud Cognitive Tools (language translation, sentiment analysis, keyword classification, interact e-forms, chatbot and orchestrator. Practical experience of managing the automation lifecycle complying to the best practice standards Experience of engaging with customers on a consultative More ❯