51 to 75 of 359 Natural Language Processing Jobs in England

winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to More ❯

development of a framework and software prototype for an AI-based compliance control system. This system will apply Natural Language Processing (NLP) and Large Language Models (LLMs) to analyze the compliance of treaties and agreements, including for example bilateral agreements that are particularly relevant for operationalizing More ❯

with a strong technical background. You must have experience in a tech scale-up environment. We are looking for experts in machine learning and natural language processing who are excited by the challenges of automated knowledge base construction, including information extraction, entity resolution, graph-based embedding/… focus on NLP. Proven experience leading ML projects across the full lifecycle. Comfortable dealing with uncertainty and pre-market product ideas. Deep expertise in natural language processing. Deep understanding with the new generation of Large Language Models. Familiarity with the search and recommendation problem space. Experience with More ❯

learning (ML) technology, we strive to predict and resolve customer issues through self-service and automation solutions. The CET team leads AI and Large Language Models (LLM)-driven customer experience transformation using task-oriented dialogue systems. We develop multi-modal, multi-turn, goal-oriented dialog systems that can handle … LLM-based chatbots and conversational AI systems for customer service applications. - Design and implement state-of-the-art Natural Language Processing (NLP) and ML models for tasks such as language understanding, dialogue management, and response generation. - Collaborate with cross-functional teams, including data scientists, software engineers … to measure the performance of the developed models and systems, and identify areas for improvement. - Stay up-to-date with the latest advancements in NLP, LLMs, and conversational AI, and explore opportunities to incorporate new techniques and technologies into Amazon's customer service solutions. - Collaborate with internal and external research More ❯

deployment. Experience with common feature engineering techniques and machine learning algorithms for Supervised and Unsupervised Learning. Experience with Natural Language Processing (NLP and NLU). Experience using Generative AI systems (e.g. ChatGPT) and best practices (e.g. Prompt Engineering). Understanding the key concepts on how to apply … Desired Qualifications: Masters or PhD in Machine Learning/Data Mining/Statistics. Experience in building advanced Information Retrieval or Question Answering systems using NLP and Generative AI techniques (e.g. RAG and GraphRAG). Experience with construction and integration of Knowledge Graphs. Collaboration is our superpower, diversity unites us, and More ❯

Key Responsibilities Develop and implement machine learning models for analyzing complex biological and genomic datasets. Apply deep learning, natural language processing (NLP), and statistical modeling techniques to solve key challenges in drug discovery and development. Work closely with computational biologists, bioinformaticians, and wet-lab scientists to integrate … AI-driven insights into experimental workflows. Develop and maintain scalable pipelines for data processing and model deployment. Interpret and visualize AI-driven predictions to guide experimental design and decision-making. Stay up to date with the latest advancements in AI/ML and computational biology, contributing to internal knowledge More ❯

current problems. Documentation: Maintain clear and concise documentation for AI models, code, and processes to ensure efficient collaboration and reproducibility. Preferred Skills: Experience with NLP (Natural Language Processing), computer vision, or reinforcement learning. Mathematics & Algorithms: Strong knowledge of linear algebra, probability, statistics, and optimization techniques. Knowledge of More ❯

feature engineering and machine learning algorithms for Supervised and Unsupervised Learning (Regression, Classification, Clustering, etc.). Experience with Natural Language Processing (NLP and NLU). Experience with Generative AI systems (e.g., ChatGPT) and prompt engineering techniques. Understanding of applying Generative AI in RAG solutions (embeddings, dense search … and collaboratively. Desired Qualifications: Masters or PhD in Machine Learning, Data Mining, or Statistics. Experience developing advanced Information Retrieval or Question Answering systems using NLP and Generative AI (e.g., RAG, GraphRAG). Experience with Knowledge Graph construction and integration. We value collaboration, diversity, and excellence. We foster an inclusive environment More ❯

/deliverables: These are the key things that you will be responsible for within the Senior Data Analyst role: Lead and oversee the collection, processing, and analysis of intelligence data to identify patterns, trends, and relationships that contribute to actionable intelligence. Collaborate with intelligence and security professionals across the … SQL and programming languages such as Python or R for data manipulation and analysis, ideally with expertise in Natural Language Processing (NLP). Exceptional problem-solving abilities, attention to detail, and a curious, analytical mindset. Highly desirable: Familiar with AWS, Snowflake A background in intelligence or quantitative More ❯

an industry setting? Thomson Reuters Labsin the USA is seeking scientists with a passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI. What does Thomson Reuters Labs do? We experiment, we build, we deliver. We support the organization and … for Thomson Reuters' Core Research Products, including Westlaw, Practical Law, and Checkpoint. About the Role: Senior Applied Scientists are experts in Machine Learning/NLP, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage information retrieval techniques, prompting workflows, model training and evaluation … includes: PhD in a relevant discipline or Master's plus a comparable level of experience 5+ years of hands-on experience building IR/NLP systems for commercial applications Experience writing production code and ensuring well-managed software delivery Demonstrable experience translating complex problems into successful AI applications Outstanding communication More ❯

The Application Developers possess expertise in various robotic process automation (RPA) tools. This expertise includes native chatbot support, natural language processing (NLP), optical character recognition (OCR), native Citrix automation, document processing, IVR/IVA, Workflow management, native RPA connector/copilot for core Generative AI features More ❯

of exceptional scientists to develop novel algorithms and modeling techniques to advance the state of the art in Natural Language Processing (NLP) or Computer Vision (CV) related tasks. They will work in a hybrid, fast-paced organization where scientists, engineers, and product managers work together to build … of scientific research in Amazon. Their work will directly impact our customers in the form of products and services that make use of speech, language, and computer vision technologies. We are looking for candidates with strong technical … experiences and a passion for building scientifically driven solutions in a fast-paced environment. This Senior Applied Scientist should have a good understanding of NLP models (e.g. LSTM, transformer based models) or CV models (e.g. CNN, AlexNet, ResNet) and where to apply them in different business cases. They should leverage More ❯

will be an expert in research areas such as artificial intelligence, deep learning, generative AI, machine learning , computer vision, reinforcement learning, information retrieval, and natural language processing. Autodesk's AI Lab is active in the wider research community, targeting publications at CVPR, NeurIPS , ICML , ICLR , SIGGRAPH, and other … TensorFlow , JAX or similar frameworks Strong coding abilities in Python and/or C++ Preferred Qualifications: 2D & 3D Generative AI Reinforcement Learning LLMs and Natural Language Processing Computational geometry and geometric methods (e.g. shape analysis, topology, differential geometry , discrete geometry , functional mapping, geometric deep learning, graph neural More ❯

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 More ❯

Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias More ❯

Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias More ❯

Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias More ❯

Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and mitigate risks from AI systems (e.g., model drift, bias More ❯

a commercial environment. Good programming skills in Python. Experience in building and evaluating machine learning models. Experience with Natural Language Processing (NLP) techniques. Experience working with real-world datasets. Solid understanding of fundamental concepts of data science. Experience working with Numpy and PyTorch. Experience working with cloud More ❯

a Big Data Expert with 2 to 5 years expertise as a Big Data Scientist. You will have Natural Language Processing (NLP) knowledge and experience and understand and analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and More ❯

to 5 years of experience as a Big Data Scientist. You will have knowledge and experience in Natural Language Processing (NLP) and will understand and analyze large datasets to discover new insights. You will work in a multi-disciplinary team within a highly technical and complex environment. More ❯

of experience working in high-growth startup environments or top-tier engineering teams. Familiarity with machine learning and natural language processing (NLP). A BS in Computer Science or equivalent experience. Ideal Traits Ability to thrive in a fast-paced environment and juggle multiple projects. Strong communication More ❯

leader who thrives on setting technical direction, has a strong track record of AI innovation—particularly in search, natural language processing (NLP), and information retrieval—and is passionate about staying at the forefront of AI advancements. You will inspire the organization to adopt and pioneer the latest … execute the AI strategy for legal automation, driving technical direction and innovation across multiple high-impact legal tech products, with a focus on search, NLP, and information retrieval. Team Leadership: Lead and scale a 150+ person global engineering team, building a high-performance culture through strong leadership, mentoring, and technical … experience leading engineering leaders across a multi-product software portfolio. Demonstrated expertise and innovation in AI/ML, with a strong focus on search, NLP, and information retrieval. Highly curious and proactive in staying ahead of AI trends, with a passion for driving organizations to adopt and develop cutting-edge More ❯

analysis. Key Responsibilities: Design, develop, and deploy DocAI models using Vertex AI and Gemini LLM for extracting data and retrieving insights Migrate existing document processing solutions from legacy systems to the Vertex AI platform. Optimize DocAI models for accuracy, performance, and scalability. Collaborate with subject matter experts (SMEs) to … and integrate DocAI solutions into existing workflows. Stay up to date on the latest advancements in DocAI and Natural Language Processing (NLP). Required Skills: Strong proficiency in Python programming. Experience in designing and deploying AI models using Vertex AI and Gemini LLM. Ability to optimize models More ❯

analysis. Key Responsibilities: Design, develop, and deploy DocAI models using Vertex AI and Gemini LLM for extracting data and retrieving insights Migrate existing document processing solutions from legacy systems to the Vertex AI platform. Optimize DocAI models for accuracy, performance, and scalability. Collaborate with subject matter experts (SMEs) to … and integrate DocAI solutions into existing workflows. Stay up to date on the latest advancements in DocAI and Natural Language Processing (NLP). Required Skills: Strong proficiency in Python programming. Experience in designing and deploying AI models using Vertex AI and Gemini LLM. Ability to optimize models More ❯