1 to 25 of 39 Sentiment Analysis Jobs

Strong analytical thinking skills to interpret data and derive actionable insights. Ability to translate complex data science concepts into simple, understandable results for non-technical stakeholders. Proficiency in statistical analysis, hypothesis testing, and predictive modeling. Experience working with healthcare or finance data, including domain-specific challenges. Your Responsibilities: Develop and implement AI/ML models, particularly those involving Computer … Vision (e.g., image recognition, medical imaging analysis, fraud detection, facial recognition, and automated surveillance systems). Develop and deploy AI/ML models for applications such as disease diagnosis, patient outcome prediction, fraud detection, and risk modeling. Develop expertise in Large Language Models (LLMs), Natural Language Processing (NLP), text and speech recognition systems, and cloud platforms such as Azure … Python, R, SQL, Spark, Scala. Expertise in machine learning frameworks for like TensorFlow, PyTorch, Scikit-learn, Keras, ONNX, fast.ai and other leading frameworks. Expertise in LLMs for healthcare text analysis (e.g., analyzing medical records or patient notes). Proficiency in NLP techniques such as sentiment analysis, named entity recognition, and text summarization. Knowledge of deep learning 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 ❯

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 ❯

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 ❯

from Pattern matching, Chatbot implementation, and using GenAI. Proactively develop an understanding of key business problems and processes. Execute tasks throughout the model development process, including data wrangling/analysis, model training, testing, and selection. Generate structured and meaningful insights from data analysis and modelling exercises and present them in an appropriate format according to the audience. Collaborate … with other data scientists and machine learning engineers to deploy machine learning solutions. Conduct ad-hoc and periodic analysis as required by business stakeholders, the model risk function, and other groups. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and advanced applied experience. Experience in statistical inference and experimental design (such as probability, linear … skills with Python, including libraries such as NumPy, pandas, and scikit-learn, as well as R. Understanding and usage of the OpenAI API. NLP: tokenization, embeddings, sentiment analysis, basic transformers for text-heavy datasets. Experience with LLM & Prompt Engineering, including tools like LangChain, LangGraph, and Retrieval-Augmented Generation (RAG). Experience in anomaly detection techniques, algorithms, and 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 ❯

as TensorFlow, PyTorch, Hugging Face Transformers, or LangChain. Experience in fine-tuning, model evaluation, and prompt engineering. Strong understanding of NLP techniques including text classification, summarization, sentiment analysis, and dialogue systems. Experience building and deploying ML models in cloud environments (AWS, Azure, GCP). Clearance Applicants selected will be subject to a security investigation and may need 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 ❯

in Flask or Django Demonstrated experience with text analytics and its applications/role/use in business intelligence/business analytics (i.e. search, entity extraction, sentiment analysis, document summarization, document categorization) Demonstrated experience researching and implementing machine learning algorithms for use in production systems Demonstrated experience developing proof of concepts of new technologies and evaluating the 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 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 ❯

LLMs using techniques like LoRA and PEFT, and evaluate outputs using BLEU, ROUGE, or similar metrics. NLP Pipeline Implementation: Develop NLP functionalities including named entity recognition, sentiment analysis, and dialogue state tracking. Cross-Functional Collaboration: Work closely with AI researchers, frontend developers, and product teams to ship impactful features rapidly and iteratively. Preferred Candidate Profile: Experience: Minimum 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 ❯

Public Affairs. The Research Analyst will provide strategic research and insights to inform Army communication efforts across various media channels and community outreach activities. This role involves leading audience analysis, conducting comprehensive media research, and developing actionable reports for Army communication campaigns. The Analyst uses advanced media analysis and social listening tools to provide the OCPA with data … Media Relations Division, Army Outreach Division, and Digital Media Division to ensure alignment on communication efforts and strategy. Attend conduct in-depth interviews, working groups, focus groups and other analysis/projects in a support function and/or attend meetings IAW their assigned accounts. Communicate findings and strategic insights to OCPA leadership, advising on adjustments to messaging strategies … based on collected data and media analysis. Metrics Development and Campaign Analysis Collaborate with communication campaign leads to establish, track, and assess appropriate metrics for evaluating Army communication efforts. Recommend alternative communication strategies to improve message deployment effectiveness across Army-owned platforms and mainstream media. Advise on and utilize industry best practices in communication metrics, including data from mainstream 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 ❯