14 of 14 Permanent Sentiment Analysis Jobs in the UK

landscape. Responsibilities and Duties Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search , image-text matching , and online content analysis … Experience with image processing , feature extraction , and text preprocessing techniques . Solid understanding of algorithms for tasks such as object detection , image classification , text extraction , and sentiment analysis . Hands-on experience with large datasets and data pipelines for training and deploying ML models. Strong analytical and problem-solving skills, with the ability to translate business challenges More ❯

of Expertise (CoE), you will be working on the user experience for employees. You'll be responsible for the creation and testing of service design blueprints research, and the analysis of employee needs and sentiment. We are seeking a highly creative and experienced Service Designer to join our dynamic cross-functional team. The ideal candidate will have a passion … Service Design Development: Develop service design blueprints and guidelines to ensure consistency across services and to achieve BCG's strategic goals. Utilize journey mapping, needs and sentiment analysis, quant measurement and other tools, methods, or processes to understand and define end-to-end UX. Align with the CoE Value Measurement framework to capture and track service quality … efficiency and advocacy. User Research & Analysis: Conduct qualitative and quantitative user research to understand employee needs, behaviors, and pain points. Analyze user feedback and usage data to inform design decisions. Create meaningful and actionable insights into our employees' behaviors, needs, expectations, and pain points. Collaboration: Work collaboratively across teams, disciplines, and regions to ensure a diverse approach to problem 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 ❯

the business with key insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions and methodology used. This will ensure that they fully understand and … business. About You About you The ideal person will have. Strong experience in building Machine Learning models and applying Data Science techniques using python. Strong data manipulation and statistical analysis experience gained through experience working in various industries. Be able to provide clear and tangible examples of time when your insights and analysis have made an impact on 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 ❯

Key Outcomes: Retain your customers, secure their renewal and hit retention targets Amplify Customer Loyalty : Champion customer retention, ensuring seamless renewals and surpassing retention targets. Master Sentiment Analysis : Identify and neutralise potential sentiment risks across diverse stakeholders, from end users to top decision-makers, fostering enduring relationships. Empower Customer Advocacy : Lead as a vocal customer 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 ❯

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 ❯

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 ❯

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 ❯

with top-tier organisations ranging from government, well-known brands to life-changing not-for-profits. They are the disrupter brand in polling, voting intention, and sentiment analysis, working on elections and social research issues across the UK and broader Europe. Their tech is making waves and is quickly being adopted in the commercial sectors for various More ❯