1 to 25 of 34 Sentiment Analysis Jobs in England

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

with at least one programming language (e.g., Python , JavaScript ) for custom logic and Lambda functions Understanding of NLP concepts such as intent recognition, entity extraction, and sentiment analysis 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 ❯

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 ❯

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 ❯

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 ❯

reputation and brand globally, and developing data-driven strategies for reputation management. Key Responsibilities Oversee global reputation studies and qualitative research programs. Manage social listening and sentiment analysis across digital and traditional media platforms. Evaluate brand measurement and ROI from advertising and sponsorships. Develop KPIs and track performance metrics. Coordinate with internal teams to assess impacts of … degree in Computer Science, Data Science, or related field. Minimum 15 years of experience in data science or analytics. Strong communication and presentation skills. Extensive experience in research, data analysis, visualization, machine learning, and statistical modeling. Proficiency with tools like SPSS, Power BI, Tableau, Pulsar, and audience intelligence software. Proficiency in Python, R, and SQL. Work Environment We offer 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 ❯

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 ❯

a new affective channel that can be explored in art. The controls available in standard Virtual Reality (VR) can be supplemented with speech recognition, natural language processing, and sentiment analysis. We aim to embody this potential in the front end of a new audiovisual interface, which would translate detected meanings of utterances to the morphing of abstract 3D …/or audio based projects Experience with real-time system optimisation (e.g. low-latency audio/visual feedback in VR) Experience with speech recognition (e.g. whisper), sentiment analysis, or emotion classification Experience with data backup systems Experience with working in interdisciplinary teams Excellent communication and interpersonal skills. Creative problem-solving skills Self-motivation and capable of independent More ❯

AI and innovation to thrive in a collaborative and fast-paced environment. Key Responsibilities: Design, implement, and optimise ML and NLP algorithms for tasks such as sentiment analysis, text summarisation, and predictive modelling. Build and maintain scalable data pipelines, APIs, and AI architectures to support production-ready solutions. Collaborate with engineering teams to integrate AI models into More ❯

consensus and delivering iterative development Serves as subject matter expert for products or related group of products leveraging in-depth knowledge of industry practices and trends. Conducts extensive, strategic analysis to provide consistent and competitive recommendations. Leads cross-functional sessions with teams that include Product, Technology, and other adjacent teams/functions Translates product roadmap into well-defined product … against release readiness and Go to Market standards, ensuring key aspects of the release experience including Change Checklist, Release Board, Product Pilot, Communication, Training and Colleague Sentiment Analysis are production ready Partners closely with analytics team to leverage data and colleague sentiment as a core principle, by defining product metrics, leveraging data to drive product … of complex risks, issues, and changes aligned to product management initiatives and processes, taking ownership for leadership updates and ensuring resolution/mitigation alignment with adjacent groups. Conducts research & analysis to execute against strategy, support decision making and taking accountability for driving product development ideation, and enhancements. Sharing insights with internal teams for review, validation and challenging Research demands More ❯

consensus and delivering iterative development Serves as subject matter expert for products or related group of products leveraging in-depth knowledge of industry practices and trends. Conducts extensive, strategic analysis to provide consistent and competitive recommendations. Leads cross-functional sessions with teams that include Product, Technology, and other adjacent teams/functions Translates product roadmap into well-defined product … against release readiness and Go to Market standards, ensuring key aspects of the release experience including Change Checklist, Release Board, Product Pilot, Communication, Training and Colleague Sentiment Analysis are production ready Partners closely with analytics team to leverage data and colleague sentiment as a core principle, by defining product metrics, leveraging data to drive product … of complex risks, issues, and changes aligned to product management initiatives and processes, taking ownership for leadership updates and ensuring resolution/mitigation alignment with adjacent groups. Conducts research & analysis to execute against strategy, support decision making and taking accountability for driving product development ideation, and enhancements. Sharing insights with internal teams for review, validation and challenging Research demands More ❯

degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience Demonstrated experience driving change within an organization and leading complex technical projects Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions Preferred Qualifications: Masters degree or PhD in Computer Science or a related technical field Experience with frameworks like TensorFlow … PyTorch, or Scikit-learn Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis Understanding of information retrieval concepts, such as indexing, querying, and ranking Demonstrated experience with data structures and algorithms, including graph theory and optimization techniques About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in More ❯

with: Generative AI systems such as OpenAI, Claude, etc Prompt engineering for media intelligence, including video understanding and summarisation Cloud based audio processing systems Audio transcription, sentiment analysis, emotion evaluation Building scalable and efficient cloud-native infrastructure for processing, streaming, and analyzing audio Anomaly detection machine learning libraries Utilizing unsupervised and semi-supervised techniques to identify anomalies 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 ❯

Ability to work independently and as part of a team in a fast-paced environment Basic understanding of NLP concepts like intent classification, entity recognition, and sentiment analysis * Free services are subject to limitations #J-18808-Ljbffr More ❯

metadata. Detail-oriented mindset, with a proactive approach to error detection and quality assurance. Familiarity with LLMs and NLP pipelines (entity linking, topic modeling, text classification, sentiment analysis, etc) Familiarity with data querying and manipulation (SQL, Python, etc) Must Have Data Annotation Data querying and manipulation Familiarity with LLMs Natural Language Processing (NLP) Ontology Development Taxonomy Management More ❯