26 to 50 of 314 Natural Language Processing Jobs in London

and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends, and emerging patterns. Play a More ❯

and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends, and emerging patterns. Play a More ❯

Handling, Large Language Model (LLM), GitHub, Linux CLI, Docker and Kubernetes. Any additional knowledge of Artificial Intelligence (AI), Machine Learning (ML) and Natural Language Processing (NLP) is highly desirable. Working on behalf of our UK Central Government client you will be part of a brand-new project focusing on blue sky dev work. Due to the More ❯

deep knowledge of banking operations alongside an appreciation for regulatory considerations unique to this sector. You possess a thorough understanding of artificial intelligence concepts such as machine learning or NLP without needing direct coding skills-enabling you to communicate effectively with technical experts while focusing on strategic outcomes. Your proven ability in programme management means you can juggle multiple projects … including customer delivery models as well as familiarity with regulatory frameworks governing financial institutions. Conversant in artificial intelligence concepts such as machine learning, natural language processing (NLP), automation technologies including generative AI or agentic AI-without requiring hands-on coding expertise. Extensive experience in programme management encompassing oversight of multiple concurrent workstreams within complex organisations. Exceptional stakeholder More ❯

equity An early-stage AI company is building a next-generation platform that helps professionals extract insights and automate workflows across large document sets. Their product combines structured data, natural-language processing, and workflow automation to help users make faster, higher-quality decisions. They’re backed by leading European and US investors, with a proven founding team … pragmatic approach to trade-offs. Interest in AI-enabled products or automation platforms. Nice to Have Experience leading small engineering teams or mentoring others. Familiarity with document processing, NLP, or knowledge-graph-style systems. Previous exposure to enterprise integrations or SaaS products. Comfort working with cloud-native infrastructure (e.g. AWS, GCP, Docker). Why Join Deep ownership and autonomy More ❯

equity An early-stage AI company is building a next-generation platform that helps professionals extract insights and automate workflows across large document sets. Their product combines structured data, natural-language processing, and workflow automation to help users make faster, higher-quality decisions. They’re backed by leading European and US investors, with a proven founding team … pragmatic approach to trade-offs. Interest in AI-enabled products or automation platforms. Nice to Have Experience leading small engineering teams or mentoring others. Familiarity with document processing, NLP, or knowledge-graph-style systems. Previous exposure to enterprise integrations or SaaS products. Comfort working with cloud-native infrastructure (e.g. AWS, GCP, Docker). Why Join Deep ownership and autonomy More ❯

equity An early-stage AI company is building a next-generation platform that helps professionals extract insights and automate workflows across large document sets. Their product combines structured data, natural-language processing, and workflow automation to help users make faster, higher-quality decisions. They’re backed by leading European and US investors, with a proven founding team … pragmatic approach to trade-offs. Interest in AI-enabled products or automation platforms. Nice to Have Experience leading small engineering teams or mentoring others. Familiarity with document processing, NLP, or knowledge-graph-style systems. Previous exposure to enterprise integrations or SaaS products. Comfort working with cloud-native infrastructure (e.g. AWS, GCP, Docker). Why Join Deep ownership and autonomy More ❯

equity An early-stage AI company is building a next-generation platform that helps professionals extract insights and automate workflows across large document sets. Their product combines structured data, natural-language processing, and workflow automation to help users make faster, higher-quality decisions. They’re backed by leading European and US investors, with a proven founding team … pragmatic approach to trade-offs. Interest in AI-enabled products or automation platforms. Nice to Have Experience leading small engineering teams or mentoring others. Familiarity with document processing, NLP, or knowledge-graph-style systems. Previous exposure to enterprise integrations or SaaS products. Comfort working with cloud-native infrastructure (e.g. AWS, GCP, Docker). Why Join Deep ownership and autonomy More ❯

value and efficiency. Solution Design & Development: Create detailed Process Design Documents (PDDs)/define requirements for Robotic Process Automation (RPA), AI solutions/Natural Language Processing (NLP) solutions, collaborating closely with process Subject Matter Experts (SMEs) and automation developers to optimise and redesign business processes. About Us: Ascendion is a global, leading provider of AI-first software More ❯

value and efficiency. Solution Design & Development: Create detailed Process Design Documents (PDDs)/define requirements for Robotic Process Automation (RPA), AI solutions/Natural Language Processing (NLP) solutions, collaborating closely with process Subject Matter Experts (SMEs) and automation developers to optimise and redesign business processes. About Us: Ascendion is a global, leading provider of AI-first software More ❯

value and efficiency. Solution Design & Development: Create detailed Process Design Documents (PDDs)/define requirements for Robotic Process Automation (RPA), AI solutions/Natural Language Processing (NLP) solutions, collaborating closely with process Subject Matter Experts (SMEs) and automation developers to optimise and redesign business processes. About Us: Ascendion is a global, leading provider of AI-first software More ❯

benefits of automation initiatives. Design solutions by creating detailed Process Design Documents (PDDs) and defining requirements for Robotic Process Automation (RPA), AI, and Natural Language Processing (NLP) solutions. Collaborate closely with process Subject Matter Experts (SMEs) and automation developers to optimise and redesign business processes. Build and manage an innovation pipeline for Copilot and AI use cases More ❯

benefits of automation initiatives. Design solutions by creating detailed Process Design Documents (PDDs) and defining requirements for Robotic Process Automation (RPA), AI, and Natural Language Processing (NLP) solutions. Collaborate closely with process Subject Matter Experts (SMEs) and automation developers to optimise and redesign business processes. Build and manage an innovation pipeline for Copilot and AI use cases More ❯

benefits of automation initiatives. Design solutions by creating detailed Process Design Documents (PDDs) and defining requirements for Robotic Process Automation (RPA), AI, and Natural Language Processing (NLP) solutions. Collaborate closely with process Subject Matter Experts (SMEs) and automation developers to optimise and redesign business processes. Build and manage an innovation pipeline for Copilot and AI use cases More ❯

benefits of automation initiatives. Design solutions by creating detailed Process Design Documents (PDDs) and defining requirements for Robotic Process Automation (RPA), AI, and Natural Language Processing (NLP) solutions. Collaborate closely with process Subject Matter Experts (SMEs) and automation developers to optimise and redesign business processes. Build and manage an innovation pipeline for Copilot and AI use cases More ❯

or customer service environments, this could be the role for you! This is a pivotal hire as they look to modernise customer interactions, migrating from legacy IVR to intelligent, natural language-driven experiences. An understanding of enterprise system design and AI/Machine Learning enabled voice applications is also ideal. What will you do as a Genesys IVR … Specialist? Collaborate with other Architects to define E2E architecture for conversational AI voice solutions. This includes intent capture, caller ID, natural language processing, text to speech and orchestration layers Architectural decision making on Cloud native, Microservices and API first frameworks Own application level architectural design for conversational … voice experiences Define architectural blueprints Design voice based enterprise applications What skills do you need as a Genesys IVR Specialist? Expertise with CCaaS/IVR (Genesys) Conversational AI/NLP technologies Experience with Cloud platforms (ideally AWS) Proficiency in microservices, APIs and event driven design Familiarity with speech recognition, text to speech, dialog orchestration and AI/ML pipelines What More ❯

or customer service environments, this could be the role for you! This is a pivotal hire as they look to modernise customer interactions, migrating from legacy IVR to intelligent, natural language-driven experiences. An understanding of enterprise system design and AI/Machine Learning enabled voice applications is also ideal. What will you do as a Genesys IVR … Specialist? Collaborate with other Architects to define E2E architecture for conversational AI voice solutions. This includes intent capture, caller ID, natural language processing, text to speech and orchestration layers Architectural decision making on Cloud native, Microservices and API first frameworks Own application level architectural design for conversational … voice experiences Define architectural blueprints Design voice based enterprise applications What skills do you need as a Genesys IVR Specialist? Expertise with CCaaS/IVR (Genesys) Conversational AI/NLP technologies Experience with Cloud platforms (ideally AWS) Proficiency in microservices, APIs and event driven design Familiarity with speech recognition, text to speech, dialog orchestration and AI/ML pipelines What More ❯

or customer service environments, this could be the role for you! This is a pivotal hire as they look to modernise customer interactions, migrating from legacy IVR to intelligent, natural language-driven experiences. An understanding of enterprise system design and AI/Machine Learning enabled voice applications is also ideal. What will you do as a Genesys IVR … Specialist? Collaborate with other Architects to define E2E architecture for conversational AI voice solutions. This includes intent capture, caller ID, natural language processing, text to speech and orchestration layers Architectural decision making on Cloud native, Microservices and API first frameworks Own application level architectural design for conversational … voice experiences Define architectural blueprints Design voice based enterprise applications What skills do you need as a Genesys IVR Specialist? Expertise with CCaaS/IVR (Genesys) Conversational AI/NLP technologies Experience with Cloud platforms (ideally AWS) Proficiency in microservices, APIs and event driven design Familiarity with speech recognition, text to speech, dialog orchestration and AI/ML pipelines What More ❯

or customer service environments, this could be the role for you! This is a pivotal hire as they look to modernise customer interactions, migrating from legacy IVR to intelligent, natural language-driven experiences. An understanding of enterprise system design and AI/Machine Learning enabled voice applications is also ideal. What will you do as a Genesys IVR … Specialist? Collaborate with other Architects to define E2E architecture for conversational AI voice solutions. This includes intent capture, caller ID, natural language processing, text to speech and orchestration layers Architectural decision making on Cloud native, Microservices and API first frameworks Own application level architectural design for conversational … voice experiences Define architectural blueprints Design voice based enterprise applications What skills do you need as a Genesys IVR Specialist? Expertise with CCaaS/IVR (Genesys) Conversational AI/NLP technologies Experience with Cloud platforms (ideally AWS) Proficiency in microservices, APIs and event driven design Familiarity with speech recognition, text to speech, dialog orchestration and AI/ML pipelines What More ❯

agency, working on advanced data and AI-driven solutions to support a mission critical project. This role offers the opportunity to work on cutting-edge initiatives applying Machine Learning, Natural Language Processing, and Large Language Models (LLMs) within a secure environment. Key Skills & Experience: Proven experience as a Data Scientist , ideally in a government or large More ❯

agency, working on advanced data and AI-driven solutions to support a mission critical project. This role offers the opportunity to work on cutting-edge initiatives applying Machine Learning, Natural Language Processing, and Large Language Models (LLMs) within a secure environment. Key Skills & Experience: Proven experience as a Data Scientist , ideally in a government or large More ❯

or customer service environments, this could be the role for you! This is a pivotal hire as they look to modernise customer interactions, migrating from legacy IVR to intelligent, natural language-driven experiences. An understanding of enterprise system design and AI/Machine Learning enabled voice applications is also ideal. What will you do as a Genesys IVR … Specialist? This includes intent capture, caller ID, natural language processing, text to speech and orchestration layers What skills do you need as a Genesys IVR Specialist? Experience with Cloud platforms (ideally AWS More ❯

long term Roles and Responsibilities: Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs … analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language … a service/REST API on Cloud or Kubernetes, and proficiency in testing of developed AI components. Responsibilities also include data analysis/preprocessing for training and fine-tuning language models. Also, solves virtually all issues around privacy, real-time, sparce data collection, passive data collection and security and regulatory requirements. More ❯

long term Roles and Responsibilities: Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs … analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language … a service/REST API on Cloud or Kubernetes, and proficiency in testing of developed AI components. Responsibilities also include data analysis/preprocessing for training and fine-tuning language models. Also, solves virtually all issues around privacy, real-time, sparce data collection, passive data collection and security and regulatory requirements. More ❯

long term Roles and Responsibilities: Educational Qualifications: Graduate or Doctorate degree in information technology, Neuroscience, Business Informatics, Biomedical Engineering, Computer Science, Artificial Intelligence, or a related field. Specialization in Natural Language Processing is preferred. Experience Requirements: 10 years+ of experience in developing Data Science, AI, and ML solutions, with a specific focus on generative AI and LLMs … analytical business acumen, domain, and technical expertise. Large Language Model Expertise: Experience in working with and fine-tuning Large Language Models (LLMs), including the design, optimization of NLP systems, frameworks, and tools. Application Development with LLMs: Experience in building scalable applications using LLMs, utilizing frameworks such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language … a service/REST API on Cloud or Kubernetes, and proficiency in testing of developed AI components. Responsibilities also include data analysis/preprocessing for training and fine-tuning language models. Also, solves virtually all issues around privacy, real-time, sparce data collection, passive data collection and security and regulatory requirements. More ❯