476 to 500 of 1,232 Natural Language Processing Jobs in the UK

degree in Computer Science, AI, Engineering, or a related field. · Extensive experience with Generative AI technologies, including large language models (LLMs) and natural language processing (NLP). · Familiarity with cloud platforms (AWS, Azure, GCP) and distributed systems. · Experience in both SaaS and enterprise environments. · Strong leadership skills with a track record of developing high-performing engineering More ❯

is seeking to recruit a team lead for our Knowledge and Semantics team. The Data and Decision Support Capability has a diverse range of teams working in: reinforcement learning, NLP, knowledge graphs, applications of LLMs, computer vision, AI for RF and EW, sonar and acoustics. You will have the opportunity to work with these colleagues in multi-disciplinary teams and … academic partners and SME partners as well as to grow technical research areas of interest to you. You will have experience of leading a team of researchers working in NLP, LLM applications, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You … with customer-facing and project support tasks. In addition to a solid academic background and excellent written and verbal communication skills, we are interested in candidates with experience in NLP, text-mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. Typical Responsibilities: Propose More ❯

Desirable Experience: • Experience with other Microsoft tools and platforms, such as Microsoft Dynamics . • Certification in Microsoft AI or related fields. • Experience with natural language processing (NLP) and or computer vision. • Knowledge of Agile methodologies and experience working in Agile teams. • Experience in presales and or customer consulting roles. #CF-1 #LI-Remote #J-18808-Ljbffr More ❯

Develop system integrations using Power Automate, APIs, and other integration tools Address data quality issues through analysis, cleansing, and standardisation Build automated data quality monitoring tools and processes Develop natural language processing solutions for document analysis and data extraction Collaborate with teams across the business to identify automation opportunities Document data flows, structures, and processes to support … Analytics Strong experience with Microsoft Power Platform (PowerBI (Strong DAX Skills) - Power Automate) Knowledge of accounting or financial services data structures Experience with API development and integration Familiarity with natural language processing techniques Understanding of data governance principles Experience in accounting or financial services data preferred (But not crucial) Experience with Agile project methodologies Excellent communication skills More ❯

meet analytic requirements. Join us. The world can't wait. You Have: 5+ years of experience with advanced data analytic techniques, including data mining, machine learning, statistical analysis, and natural language processing 5+ years of experience with programming in an object-oriented programming language, including Java or Python Experience in working with massive data sets, including … meet analytic requirements. Join us. The world can't wait. You Have: 5+ years of experience with advanced data analytic techniques, including data mining, machine learning, statistical analysis, and natural language processing 5+ years of experience with programming in an object-oriented programming language, including Java or Python Experience in working with massive data sets, including More ❯

learning and AI. Drive the application of statistical analysis and machine learning techniques to derive insights from large datasets. Guide the development of natural language processing (NLP) models to enhance user experience and automate processes. Utilize Azure DevOps for project management and CI/CD practices, ensuring efficient delivery of projects. Manage version control using Git and More ❯

services or a regulated environment. 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, explainability). Familiarity with resilience More ❯

learning and AI. Drive the application of statistical analysis and machine learning techniques to derive insights from large datasets. Guide the development of natural language processing (NLP) models to enhance user experience and automate processes. Utilize Azure DevOps for project management and CI/CD practices, ensuring efficient delivery of projects. Manage version control using Git and More ❯

using innovative technology excite you? Opportunity To meet these challenges, the CMT team is looking for passionate, talented and innovative scientists looking to work on cutting edge technology, from Natural Language processing to optimization to image processing and LLMs. In addition to getting the opportunity to participate in research in several domains, you will lead the … to end solution to the business problems. Ideate on future roadmap for science in CMT, and CMT in general. BASIC QUALIFICATIONS Experience programming in Java, C++, Python or related language Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse PREFERRED QUALIFICATIONS Experience implementing algorithms using both toolkits and self-developed code Have publications at top-tier peer More ❯

understanding of ML pipelines, data preprocessing, model optimisation, and deployment into production. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data Collaborating closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting … from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Desirable: Prior experience within the defence, aerospace, or national security sectors Familiarity with computer vision, signal processing, or natural language processing Exposure to MLOps, edge computing, or synthetic data generation Knowledge of government or MOD procurement and technical frameworks is an advantage If More ❯

autonomous systems and surveillance technologies to predictive analytics and decision-support platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data Collaborating closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting … from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Desirable: Prior experience within the defence, aerospace, or national security sectors Familiarity with computer vision, signal processing, or natural language processing Exposure to MLOps, edge computing, or synthetic data generation Knowledge of government or MOD procurement and technical frameworks is an advantage If More ❯

autonomous systems and surveillance technologies to predictive analytics and decision-support platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data Collaborating closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting … pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security sectors Familiarity with computer vision, signal processing, or natural language processing Exposure to MLOps, edge computing, or synthetic data generation Knowledge of government or MOD procurement and technical frameworks is an advantage If More ❯

autonomous systems and surveillance technologies to predictive analytics and decision-support platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data Collaborating closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting … pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security sectors Familiarity with computer vision, signal processing, or natural language processing Exposure to MLOps, edge computing, or synthetic data generation Knowledge of government or MOD procurement and technical frameworks is an advantage If More ❯

train, validate, and deploy ML solutions on secure, often resource-constrained platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data Collaborating closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting … pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security sectors Familiarity with computer vision, signal processing, or natural language processing Exposure to MLOps, edge computing, or synthetic data generation Knowledge of government or MOD procurement and technical frameworks is an advantage If More ❯

train, validate, and deploy ML solutions on secure, often resource-constrained platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing and analysing complex datasets, including geospatial, signals, or operational intelligence data Collaborating closely with software engineers, data scientists, and defence stakeholders to ensure scalable and secure system integration Conducting … pipelines from prototype to deployment Understanding of algorithm performance in constrained or sensitive environments Prior experience within the defence, aerospace, or national security sectors Familiarity with computer vision, signal processing, or natural language processing Exposure to MLOps, edge computing, or synthetic data generation Knowledge of government or MOD procurement and technical frameworks is an advantage If More ❯

using innovative technology excite you? Opportunity To meet these challenges, the CMT team is looking for passionate, talented and innovative scientists looking to work on cutting edge technology, from Natural Language processing to optimization to image processing and LLMs. In addition to getting the opportunity to participate in research in several domains, you will lead the More ❯

Design and implement advanced AI solutions to automate and optimize business processes, ensuring high performance, scalability, and reliability. Agentic LLM/RAG Systems: Build sophisticated agentic systems leveraging Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), optimizing for performance and cost by selecting appropriate models (foundation, fine-tuned, or custom-built). Cross-Functional Collaboration: Work closely with … business requirements and translate them into AI-powered solutions. Technical Leadership: Provide guidance and mentorship to other engineers, establishing best practices and coding standards. Requirements: Experience in Deep Learning & NLP: Proven experience in deep learning with a focus on natural language processing. LLM Expertise: Strong understanding of large language models and grounding techniques. Production Deployment: Experience deploying More ❯

for internal/external partners or customers. Preferred qualifications: Master's degree in Engineering, Computer Science, Business, or a related field. Experience with Gen Ai technologies such as large language modelling, natural language processing, developing, or maintaining solutions in virtualized environments. Experience working with database technologies (e.g., SQL, NoSQL). Experience in an investigative role such More ❯

for internal/external partners or customers. Preferred qualifications: Master's degree in Engineering, Computer Science, Business, or a related field. Experience with Gen Ai technologies such as large language modelling, natural language processing, developing, or maintaining solutions in virtualized environments. Experience working with database technologies (e.g., SQL, NoSQL). Experience in an investigative role such More ❯

approach to workload, to work autonomously when required, demonstrating the ability to prioritise and organise Technical skills: Excellent working knowledge of advanced analytical techniques, including regression, segmentation, machine learning, natural language processing, text analytics, and time-series modelling Experience of a wide variety of technologies including: R or Python, SQL Understanding and experience with cloud infrastructures such More ❯

closely with teams across the company, including Microsoft Research (MSR). You will work as part of an organization that brings together talent in the areas of machine learning, natural language processing, multimodal modeling, deep learning, graph learning, information retrieval, software engineering, and responsible AI. We value and encourage diversity in the belief that it leads to … where everyone can thrive at work and beyond. Responsibilities: Manage innovative applied science teams in the area of Artificial Intelligence, specifically training, optimizing and the application of LLMs (Large Language Models). Support hiring, coaching, mentoring and career development of Applied Scientists and Software Engineers to build inclusive and ambitious applied science focused teams Collaborate closely with Microsoft Research More ❯

opportunities for data-driven improvements in safety, efficiency, and cost management. Work within a pod of Data Science professionals to develop and implement predictive analytics, time-series forecasting, and natural language processing models, in use cases that include forecasting aircraft maintenance needs and optimising operations. Take responsibility for delivering initiatives, adopt our Data Science ways of working … be able to break down initiatives into measurable tasks, and report progress and issues blocking progress. Work with our data teams to design and implement data collection, processing, and analysis frameworks, ensuring data integrity and accuracy. Be skilled at storytelling, be able to explain solutions to stakeholders and recommend actions to take for the business to realise value from More ❯

deep and dark web threats and prevent attacks. ABOUT THE POSITION We are seeking a highly skilled AI Engineer to develop and optimize AI-driven reasoning systems using large language models (LLMs) alongside fine-tuned deep learning models for analyzing dark web data. This role involves building and integrating retrieval-augmented generation (RAG) techniques, fine-tuning smaller transformer-based … analysis and knowledge retrieval from structured and unstructured dark web sources. Train and fine-tune smaller deep learning models, including vision models (e.g., CNNs, Vision Transformers) and transformer-based NLP models (e.g., BERT, DistilBERT) for classification, entity recognition, and document intelligence. Design and maintain scalable AI-powered query systems that integrate reasoning capabilities for dark web intelligence. Utilize deep learning … Hands-on experience with LLMs, retrieval-augmented generation (RAG), and transformer-based architectures such as GPT, BERT, or T5. Experience training and fine-tuning smaller deep learning models for NLP and computer vision tasks. Knowledge of vector databases (e.g., FAISS, Pinecone, Weaviate) and their use in AI-driven retrieval systems. Familiarity with anomaly detection techniques using deep learning and traditional More ❯

the highest international levels of excellence. This close affiliation with the University provides Cambridge University Press & Assessment with unparalleled expertise across academic publishing, educational systems, international qualifications, and English language learning. The organisation is committed to exploration, collaboration, and innovation, continually seeking impactful ways to advance knowledge, stimulate curiosity, and foster deeper understanding. Through its work, Cambridge University Press … the educational assessment field. The role will entail, for example, developing malpractice detection methods, or to provide insights on test content. By leveraging extensive data manipulation, the use of Natural Language Processing, and the application of statistical and psychometric methodologies this role provides the opportunity to significantly contribute to cutting-edge quantitative research and development in the … area of language testing. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge. Responsibilities As our next Senior Data Scientist, you will help us leverage innovation and the latest technological advancement to develop our systems and processes. As part of this role, you will significantly More ❯

and Drawings such as Drawing Sets, Specifications, or Shop Drawings) Knowledge of structured data representation and management in AEC workflows (building information modeling, structural specifications, project documentation) LLMs and Natural Language Processing Multi-modal deep learning and/or information retrieval Publication track record in machine learning conferences and/or journals Significant post-graduate research experience … United Kingdom 2 weeks ago London, England, United Kingdom 1 day ago London, England, United Kingdom 1 month ago London, England, United Kingdom 2 days ago Research Scientist Intern, Language Generative AI London, England, United Kingdom 2 weeks ago London, England, United Kingdom 5 months ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 3 weeks More ❯