1 to 25 of 51 Sentiment Analysis Jobs in England

clients to answer their business questions and drive bottom-line performance improvement through Analytics and AI. Co-create and co-design data and intelligence products with stakeholders to convert analysis into insight to be consumed rapidly, addressing data needs of senior leaders in the sector and have a direct impact on service delivery and consumers. Develop and apply your … e.g. data querying, data manipulation or data wrangling to transform raw data into the desired format for analytics and visualisation. Hands-on experience with data analytics, including accurate statistical analysis, and the ability to visualise and interpret the results for senior business stakeholders. Experience in producing dashboards and interactive visual reports using several BI tools such as Power BI … on visualisation best practices. An awareness of data and technology landscapes, including knowledge of some tooling and platform options (e.g., visualisation tools, data warehousing platforms, data preparation platforms, statistical analysis tools). Experience in managing the delivery of solutions using any of the following: Google Cloud Platform, Amazon Web Services, Microsoft Azure. An understanding of good data management practices More ❯

to pre-process and clean text data, ensuring data quality and compatibility with NLP models. Apply machine learning and deep learning techniques to tasks such as sentiment analysis, text classification, entity recognition, named entity recognition, and text generation. Build and leverage knowledge graphs to enhance language understanding and enable more advanced NLP applications. Develop methods to integrate … and utilize LLMs, such as GPT (Azure Open AI), BERT or open source foundational LLM's (Llama2), for natural language understanding and generation tasks. Conduct thorough exploratory data analysis to gain insights into text data characteristics and develop effective pre-processing strategies. Collaborate with data engineers and analysts to integrate NLP models into our data pipelines and systems. Evaluate 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 ❯

and GCP for deploying data science workloads. • Solid understanding of machine learning methods (supervised and unsupervised), model evaluation, and lifecycle management. • Experience with NLP tasks (e.g., sentiment analysis, entity recognition) and LLMs (e.g., GPT, Gemma). • Familiarity with LangChain (or equivalents), LLMOps, Databricks, and API management. • Understanding of TDD, modular design, authentication, version control (e.g., Git), Docker 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 ❯

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 ❯

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 ❯

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 ❯

client at conferences. 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 ❯

client at conferences. 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 ❯

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 ❯

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 ❯

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 ❯

data structures in the financial domain. Hands-on experience with natural language processing (NLP) models. Practical use of large language models (LLMs) for tasks like text generation and sentiment analysis. Experience with fine-tuning LLMs using techniques such as LoRA or qLoRA. Familiarity with performance optimization tools like DeepSpeed for accelerated model training. Ability to integrate NLP solutions More ❯