526 to 550 of 1,375 Natural Language Processing Jobs in the UK

and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI assistants with trusted business knowledge. Rapidly … techniques. Virtual job fairs What We’re Looking For: Demonstrable experience in a Data Scientist or AI Automation role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation More ❯

Collaborate with product, engineering, and data teams to identify use cases, develop models, and integrate into our core platform Experiment with and apply state-of-the-art techniques in NLP, time series, and anomaly detection Own model evaluation, explainability, and monitoring frameworks in production Stay up to date with developments in the ML/AI ecosystem and bring fresh ideas … SageMaker or Vertex AI Proficiency in SQL and working knowledge of distributed computing tools like Spark or Dask Nice to Have: Experience with natural language processing (NLP) e.g., using LLMs, transformers, text classification Familiarity with Graph ML (e.g., for customer network analysis or fraud detection) Exposure to finance, credit risk modelling , or regulated environments Strong software engineering More ❯

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 ❯

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 ❯

data they need to conduct high quality research. Build models to turn raw clinical data into high quality research variables, drawing on your knowledge of LLMs, traditional ML, and NLP techniques to determine the right methods to use for a given problem. Work with quantitative scientists and oncologists to validate that your models can be used to generate sound scientific … Work cross-functionally with software engineers to productionize, scale, and monitor your models. Who You Are You're a product-focused data scientist, with experience in leveraging ML and NLP to solve real-world problems. You're excited by the prospect of rolling up your sleeves to tackle meaningful problems each and every day. You’re a kind, passionate and … and values the chance to make an important impact. You have 3+ years of relevant working experience in a technical capacity, with a focus on ML. Prior experience with NLP and LLMs is strongly preferred. You have a strong background in applying ML to solve real-world problems and a solid grasp of the underlying statistical fundamentals of ML. You More ❯

Signal is looking for a specialist in Information Retrieval, Natural Language Processing or Machine Learning who can help develop the technology needed to drive our new information service. Signal is creating a product that allows our clients to receive a feed of information based on very specific and complex requirements (e.g. "All the news related to IPOs … of European technology companies"). We are building this technology using cutting-edge algorithms for different information processing tasks in collaboration with leading universities. The next steps in the business will focus on how allows users to discover new information by navigating through all our information and automatically generating actionable insight from it. The successful candidate will join our … people from diverse functional backgrounds (mainly developers and researchers) that work closely together to bring this project forward. We combine technology from several research fields, including machine learning; natural language processing; and information retrieval. We also work in close collaboration with several universities and we encourage the publication of research results from the team in academic conferences. 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 … 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 … 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 More ❯

roles. Deep expertise in: Machine Learning and Deep Learning frameworks (e.g., TensorFlow, PyTorch). Robotic Operating Systems (e.g., ROS, ROS2). Computer Vision, Natural Language Processing (NLP), and Reinforcement Learning. Motion planning, sensor fusion, and control algorithms for humanoid robots. Proficiency in Python, C++, and real-time systems integration. Experience deploying and scaling AI-driven systems in More ❯

development practices, you will be involved in the entire software development lifecycle, building, testing and delivering high-quality solutions. Build Scalable ML Solutions: You will create large scale data processing pipelines to help researchers build and train novel machine learning algorithms. You will develop high performing scalable systems in the context of large online delivery environments. Be a Team … Have experience integrating Machine Learning solutions into production-grade software and have an understanding of ModelOps and MLOps principles Had previous exposure to Natural Language Processing (NLP) problems and have familiarity with key tasks such as Named Entity Recognition (NER), Information Extraction, Information Retrieval, etc. Can understand and translate between language and methodologies used both in … research and engineering fields Hands-on experience in other programming language/scripting language and development stack (Java, Rust, Scala, Typescript, etc.) What's in it For You? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering More ❯

understanding of Agile development, continuous delivery, and lean team dynamics. People-first leadership style with a track record of mentoring and developing high-performing teams. Exposure to machine learning, NLP, or financial data products is highly desirable. Ability to operate in ambiguity, balancing rapid execution with strategic long-term thinking. About the Company Permutable AI is a fast-growing, deep … world’s leading financial institutions - hedge funds, asset managers, investment banks, and commodity traders - with real-time insights that drive smarter, faster decision-making. Our platform leverages cutting-edge natural language processing and large language models to transform global news and unstructured data into structured, actionable intelligence across commodities, macroeconomics, currencies, and digital assets. We’re More ❯

Collaborate with product, engineering, and data teams to identify use cases, develop models, and integrate into our core platform Experiment with and apply state-of-the-art techniques in NLP, time series, and anomaly detection Own model evaluation, explainability, and monitoring frameworks in production Stay up to date with developments in the ML/AI ecosystem and bring fresh ideas … SageMaker or Vertex AI Proficiency in SQL and working knowledge of distributed computing tools like Spark or Dask Nice to Have: Experience with natural language processing (NLP) e.g., using LLMs, transformers, text classification Familiarity with Graph ML (e.g., for customer network analysis or fraud detection) Exposure to finance, credit risk modelling , or regulated environments Strong software 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 … areas of interest to you. We are looking for candidates who are adaptable, enthusiastic and highly motivated. 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 … Machine Learning, Causal Machine Learning or Neuro-Symbolic AI. Natural Language Processing, including Information extraction, text-mining and entity linking. Experience with modern (e.g. transformer-based) NLP models is desirable but not essential. Application of LLMs to Defence problems. The taxonomy of Graph Machine Learning tasks and experience in using graph ML in applied or foundational settings. More ❯

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 ❯

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 ❯