51 to 75 of 318 Natural Language Processing Jobs

to £75k DOE + Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised leader in technology, consulting, and engineering services. Working across … and its libraries for data analysis, statistics, machine learning, and visualisation Expertise in machine learning frameworks such as TensorFlow and PyTorch Knowledge of Natural Language Processing (NLP) and Computer Vision techniques Strong understanding of probability concepts and the machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Awareness and application of Ethical AI … LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist/Data Science/AWS/Azure/Machine Learning/NLP/AI/PyTorch/TensorFlow/Python/Cheltenham/Security Cleared/DV/DV Cleared/Enhanced Clearance More ❯

experience will be advantageous: Experience with cloud platforms such as AWS, GCP, or Azure Familiarity with deep learning architectures and frameworks Knowledge of natural language processing (NLP) or computer vision (CV) Prior experience working in a remote or distributed team environment More ❯

technical stakeholders Experience supporting national security or defense data programs Familiarity with data governance, ethics, and secure handling of classified data Knowledge of natural language processing (NLP), time-series analysis, or deep learning Join a mission-driven team advancing government communication capabilities and operational readiness. Apply today and become part of Synertex LLC's legacy of innovation More ❯

including: Clustering techniques (e.g., k-medoids, hierarchical clustering) Predictive modelling (e.g. Classification and Regression Trees (CART), Linear Regression, Random Forest, Gradient Boosted Models) Natural Language Processing (NLP) with a focus on social listening and topic modelling Integration of generative AI and LLMs in qualitative and survey research processes Inferences about subpopulations (Small Area Estimation (SAE), Multilevel Regression … with subject matter experts on policy but will be expected to quickly gain a basic understanding of new policy issues. You will combine advanced data science techniques (machine learning, NLP, data engineering) with robust quantitative research methods (survey analysis, causal inference, MRP) to produce insights that directly inform social policy. Leadership: You will be joining Britain's largest independent social … Computer Science, Statistics, etc.) or demonstrated experience through professional development, other learning, or Bachelor's degree with additional equivalent experience. Experience with practical application of clustering, predictive modelling, and NLP techniques, with familiarity with at least one major machine learning library (eg. Scikit-learn, statsmodels, spaCy, mlr). Proficiency in Python; knowledge of R or SQL is a plus. Familiarity More ❯

a passion for data science, machine learning, and advanced analytics. This role is ideal for someone who thrives at the intersection of complex systems engineering and cutting-edge data processing techniques-including extracting insight from some of the … most challenging data sources out there. What You'll Do: Design and manage systems-of-systems architectures, integrating multiple domains and disciplines. Apply natural language processing (NLP) and machine learning (ML) to solve mission-critical challenges. Extract and process data from unstructured/semi-structured sources, such as PDFs, CONOPS, and DODAF artifacts. Leverage qualitative analytical methods … boundaries of automation, analytics, and scalable systems. You'll Excel If You Have: Experience in systems engineering, especially for complex, multi-domain systems. Strong background in data science, including NLP and ML techniques. Proven ability to extract insights from documents using tools like Apache Tika or PDFMiner. Proficiency in Python and/or R, with hands-on experience using TensorFlow More ❯

needs of an expanding customer base. Lead product roadmap initiatives that improve the accuracy, efficiency, and relevance customer screening. Collaborate with Technology teams to enhance automation, machine learning, and NLP (natural language processing) and generative AI capabilities. Develop and maintain strong relationships with customers, regulators, and industry partners to anticipate compliance challenges and evolving risk concerns. Capture … particularly in content accuracy, data integrity, and risk classification . Desirable Skills Knowledge of financial crime compliance, AML regulations, and KYC screening . Familiarity with AI-driven media monitoring, NLP, and automation technologies . Experience working with third-party data providers, content aggregators, or risk intelligence platforms . Proven track record to lead teams without formal authority. Experience in software More ❯

of emergent trends and opportunities for future client growth and development. Researching and identifying Artificial Intelligence (AI) methods - including Machine Learning (ML) and Natural Language Processing (NLP) methods. Identification of new applications of AI in the context of Thomson Reuters and TRSS content sets. Exploring existing data for insights, and recommends additional sources of data for improvement. … terms of meeting customer needs, design delivery and supportability. A good understanding of distributed computing concepts. Experience facilitating and gathering input from subject matter experts. Excellent understanding of ML, NLP, and statistical methodologies. The ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation. Strong planning, time management, and organizational skills. A More ❯

a story and provide 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 More ❯

a story and provide 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 More ❯

a Machine Learning Engineer or similar role. Experience in ML and AI , or other deep learning-related independent project work with evidence of completion. Experience with data ingestion or processing tools and frameworks, such as Docling, Spark, Pandas, Feast, Airflow, NumPy . Experience with retrieval augmented generation approaches, including vector databases and dense retrieval methods. Knowledgeable in various synthetic … writing and publication of research papers. Understanding of DevOps methodology, Scrum, and/orJira. Bachelor's degree or higher in Machine Learning (ML), Natural Language Processing (NLP) or related discipline, or equivalent years of experience. About Red Hat Red Hat is the world's leading provider of enterprise open source software solutions, using a community-powered approach More ❯

a focus on AI and machine learning. Experience with agentic technologies and their applications. Familiarity with generative AI frameworks and LLMs. Knowledge of natural language processing (NLP) and computer vision. Experience with DevOps practices and tools for CI/CD. Strong programming skills in Python, React, Angular. Experience with AWS cloud platform and services. Familiarity with modularized More ❯

/2025 Aveni is an award-winning technology company. We useadvanced AI to enable scalable efficiency for financial services companies,combining world-leading Natural Language Processing (NLP) and Large LanguageModel (LLM) expertise with deep financial services domain experience to driveenterprise-wide productivity. Aveni harnesses the power of voice to driveunprecedented efficiency and oversight. We're using the More ❯

System (RMS) is a fully integrated buy-side solution that empowers clients to manage investment research efficiently, compliantly, and collaboratively. Leveraging AI and Natural Language Processing (NLP), RMS enables clients to uncover insights across one of the world's largest libraries of broker research, company filings, transcripts, and internal notes. With seamless integration into Microsoft Office , structured … live, ensuring clients achieve business and workflow objectives Translate client requirements into tailored RMS configurations, including publishing workflows, data integrations, and compliance controls Guide clients on adopting AI/NLP-powered document search, BQL analytics, and ESG engagement management Deliver engaging training sessions for analysts, portfolio managers, and compliance teams Act as a product specialist during implementation, advising clients on … implement enterprise platforms with technical integrations Excellent client-facing skills: communication, training, and relationship management Highly organized with a proactive, team-oriented approach Prior experience working with AI/NLP solutions, publishing platforms, or data analytics tools a strong plus Familiarity with Bloomberg applications preferred; knowledge of AIM and/or PORT is advantageous Strong project management abilities, with a More ❯

on the job, but prior experience is beneficial Experience with deploying Deep Learning models in production systems Experience with development and deployment of Natural Language Processing (NLP) applications Wide machine learning knowledge from linear regression through LLMs A basic understanding of the cyber threat landscapeandtechnical Indicators of Compromise (IOCs) What Makes Cloudflare Special? We're not just … accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you require a reasonable accommodation to apply for a job, please contact us via e-mail at or via mail at 101 Townsend More ❯

an organisation's information landscape, turning data science into real world decision support. InformedDECISION, a first-of-its-kind Artificial Intelligence (AI) and Natural Language Processing (NLP) platform that allows organisations to make better, faster, more informed decisions. As Sales Executive, you will work with the Product Business Development Manager and Product Team, playing a vital role More ❯

and productivity. Aveni is an award winning technology company. We useadvanced AI to enable scalable efficiency for financial services companies,combining world-leading Natural Language Processing (NLP) and Large LanguageModel (LLM) expertise with deep financial services domain experience to driveenterprise-wide productivity. Aveni harnesses the power of voice to driveunprecedented efficiency and oversight. We're using the More ❯

such as artificial neural networks, deep learning, and reinforcement learning. Demonstrated knowledge and experience using artificial intelligence and machine learning techniques within one or more of the following fields: natural language processing, image processing and computer vision, image and pattern recognition. Demonstrated knowledge and experience with large language models for generative AI and associated concepts More ❯

scope, priorities, and resources evolve. We'd love to see: Experience in financial services, capital markets, or large-scale data workflows. Familiarity with AI/ML technologies such as natural language processing, large language models, or model lifecycle management. Success in a central or platform-style role balancing cross-domain priorities and building reusable infrastructure. Background More ❯

technical background in data science Demonstratable experience developing & delivering data science strategies Experience with big data ecosystems, cloud infrastructure and analytic frameworks Techniques and toolkits for data cleansing, data processing and data preparation Any experience with techniques and toolkits for combining data or analysing data streams would be desirable Current enhanced DV security clearance TO BE CONSIDERED.... Please either … LinkedIn, just search Dominic Barbet. I look forward to hearing from you. DATA SCIENTIST KEY SKILLS: PRINCIPAL DATA SCIENTIST/LEAD DATA SCIENTIST/MACHINE LEARNING/ML/NLP/NATURAL LANGUAGE PROCESSING/DEEP LEARNING/DATA SCIENCE/LSTM/LONG SHORT TERM MEMORY/CNN/COGNETIVE NEURAL NETWORKS/CLOUD INFRASTRUCTURE/ More ❯

improve customer satisfaction and conversion. Key Responsibilities Design and maintain analytical models, dashboards, and visualisations using tools such as Python, R, Tableau, or Power BI. Apply machine learning and natural language processing techniques to both structured and unstructured data sources. Monitor key CX metrics (NPS, CSAT, conversion rates) to identify emerging trends, opportunities, and risks. Conduct exploratory … tools such as Python, R, Tableau, or Power BI. Interest or experience in customer experience and Voice of Customer (VoC) insights. Bonus skills (not required): Experience with predictive modelling, NLP, or large language models. Exposure to customer journey mapping. Knowledge of additional languages (French, Spanish, or German). What's on Offer Opportunities to work across multiple European locations. More ❯

independently and lead without authority. Superb communication and interpersonal skills. Skills Experience in AI System Development foundational model Lifecycle training, retrievalof Augmented Systems, and Model Evaluation. Proficient in Large Language Models (LLMs)Architecture, creating targeted Instruction Datasets, and implementing Quantization and Inference Optimizations. Capableof covering Problem Definition,Data Acquisition, and Full-cycle Deployment, utilizing tools like MLflow, Cloud … Platforms like AWS, Google Cloud, Azure. Proprietary ModelslikeGPT-4 and Claude, Open-source Models like Llama and Mistral, able to deliver high-performing, scalable, and cost-efficient AI solutions. NLP libraries like NLTK, spaCy, GPT-3, BERT, and Hugging Face's Transformers to create sophisticated natural language processing solutions. TECHNICAL SKILLS: AZURE IS A MUST HAVE Methodologies … Spiral, Agile, Waterfall, Lean. Programming Language: C++, Python, Shell, SQL, R. IDE Tools: PyCharm, RStudio, Visual Studio Code, Jupyter Notebook, Google Collab, Navicat. ML Frameworks: Transformers, Scikit-Learn, Keras, TensorFlow, PyTorch, ONNX, NLTK, OpenAI, langchain, llama-index,kore.ai. DL Architectures: LLM, ANN, CNN, R-CNN, RNN, GRU, LSTM, Transformers, Attention Mechanism, Tokenisers. BERT, T5, Sentence Transformers, Foundational models. Packages More ❯

architecture skills, and mission-focused experience to support complex AI, machine learning, and big data solutions for defense and intelligence applications. Responsibilities: Analyze and assess software development and data processing requirements and determine optimum, cost-effective solutions. Develop an understanding the technical requirements, aligning them to business goals, and then translating them into architectures capable of handling complex search … software designs that are allocated across systems components/sub-components. Experience with Elasticsearch and related indexing technologies. AI/ML model development, containerization, and productization experience. Familiarity with natural language processing, the use of Large Language Models, and the use of both containerized and Apache Spark based computing environments (e.g. Databricks) for the processing More ❯

science, as well as a passion for solving challenging problems. Responsibilities Essential Functions Model Development: Design, develop, and train machine learning and deep learning models for various applications, including natural language processing, computer vision, predictive analytics, and recommendation systems. Data Handling: Preprocess, analyze, and visualize large datasets to extract actionable insights; collaborate with data engineers to ensure … a production environment. Proficiency in programming languages such as Python, Java, or C++. Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with data processing tools and platforms (e.g., SQL, Apache Spark, Hadoop). Knowledge of cloud computing services (e.g., AWS, Google Cloud, Azure) and containerization technologies (e.g., Docker, Kubernetes) is a plus. Hugging More ❯

you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud More ❯

you will be expected to: Build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications, using cloud More ❯