1 to 25 of 109 Remote Natural Language Processing Jobs in the UK

Member of Technical Staff | Agentic Workflows | Large Language Models | Natural Language Processing | Machine Learning | Hybrid, London The Opportunity: We are seeking a highly skilled Member of Technical Staff to lead the development of advanced agentic workflows that will transform how scientists interact with our platform. You will design autonomous systems capable of navigating complex scientific tasks … from retrieving structural biology data to designing molecular binders — entirely through natural language conversation. In this role, you will architect and deploy intelligent agents that democratise access to powerful computational biology tools, enabling researchers worldwide to leverage cutting-edge models via intuitive chat interfaces. Who We Are: We are building next-generation generative models that learn the fundamentals … automation and have experience with document processing, OCR, and data extraction from academic sources. You understand the research ecosystem, including academic and pharmaceutical workflows. You have expertise in NLP, particularly for scientific text processing and citation networks. Your Responsibilities: Build autonomous scientific agents capable of executing complex research workflows via natural language interaction — from structural analysis More ❯

Member of Technical Staff | Agentic Workflows | Large Language Models | Natural Language Processing | Machine Learning | Hybrid, London The Opportunity: We are seeking a highly skilled Member of Technical Staff to lead the development of advanced agentic workflows that will transform how scientists interact with our platform. You will design autonomous systems capable of navigating complex scientific tasks … from retrieving structural biology data to designing molecular binders — entirely through natural language conversation. In this role, you will architect and deploy intelligent agents that democratise access to powerful computational biology tools, enabling researchers worldwide to leverage cutting-edge models via intuitive chat interfaces. Who We Are: We are building next-generation generative models that learn the fundamentals … automation and have experience with document processing, OCR, and data extraction from academic sources. You understand the research ecosystem, including academic and pharmaceutical workflows. You have expertise in NLP, particularly for scientific text processing and citation networks. Your Responsibilities: Build autonomous scientific agents capable of executing complex research workflows via natural language interaction — from structural analysis More ❯

Overview Our client is at the forefront of AI innovation and is seeking a world-class Principal AI Research Scientist specializing in Natural Language Processing (NLP) to join their dynamic, fully remote team. This position offers a unique opportunity to drive groundbreaking research and development in state-of-the-art NLP models and applications, impacting a global … user base. The role requires a deep theoretical understanding and practical expertise in machine learning, deep learning, and advanced NLP techniques. You will be instrumental in shaping the future of how humans interact with technology through intelligent language understanding and generation. Responsibilities Lead the research and development of novel NLP algorithms and models, pushing the boundaries of artificial intelligence. … junior researchers and contribute to the scientific growth of the team. Develop and maintain high-quality, production-ready code for AI models. Stay abreast of the latest advancements in NLP, machine learning, and deep learning. Contribute to the strategic direction of the company's AI research roadmap. Evaluate and benchmark new models and techniques against industry standards. Qualifications Ph.D. in More ❯

AI/Machine Learning Engineer (NLP/LLM) - Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist to support the development of next-generation AI solutions. This is an exciting opportunity to play … a key role in designing and training Large Language Models (LLMs) from the ground up, and to contribute to the creation of an intelligent AI powered chatbot that transforms the way information and insights are delivered. You'll work closely with the client's in house data and engineering teams to design, train, and fine … tune transformer based models for complex natural language processing tasks, ensuring accuracy, efficiency, and scalability. Experience Requirements Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer based architectures (e.g., GPT, BERT, T5). Solid More ❯

AI/Machine Learning Engineer (NLP/LLM) - Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role: A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist to support the development of next-generation AI solutions.This is an exciting opportunity to … play a key role in designing and training Large Language Models (LLMs) from the ground up, and to contribute to the creation of an intelligent AI-powered chatbot that transforms the way information and insights are delivered.You'll work closely with the client's in-house data and engineering teams to design, train, and fine … tune transformer-based models for complex natural language processing tasks, ensuring accuracy, efficiency, and scalability. Experience Requirements: Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5). Solid More ❯

platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or experience with Natural Language Processing (NLP), Natural Language Generation (NLG), or Computer Vision. Awareness of enterprise graph technologies or network analysis techniques. Experience with cloud platforms like Microsoft Azure or Google Cloud Platform (GCP More ❯

from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural … language processing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills Natural Language Processing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience Bachelor's degree in Computer Science, Engineering, or More ❯

from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural … language processing on a day-to-day basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills Natural Language Processing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience Bachelor's degree in Computer Science, Engineering, or More ❯

of statistical modelling and machine learning. Experience with Azure Machine Learning (AML), Azure Data Factory, and the broader Azure data ecosystem (Data Lake, Synapse, Analysis Services). Expertise in Natural Language Processing, clustering algorithms, text embeddings, LangChain and LLM deployment. Strong knowledge of data visualisation tools such as Power BI, DAX and Power Query. Experience in data … source toolkits (Desirable). Role and Responsibilities Design and implement data models and pipelines to support advanced analytics and reporting. Apply machine learning, natural language processing (NLP) and AI models to derive meaningful insights from complex datasets. Work closely with Data Engineers, Software Developers and Analysts to build and optimise data workflows. Integrate multiple data sources, ensuring More ❯

Overview AI startup company is looking for bilingual senior data scientist. Working Pattern : Remote Location : Worldwide Language Requirement : Japanese and English fluency As a company for whom AI is the product, it should be no surprise that our Data Science team is at the heart of everything - building innovative products, researching new techniques for using Artificial Intelligence in claims … us is a desire to learn, a mastery of our discipline, strong mathematical and statistical skills, and software engineering prowess. We typically specialise in fields such as Computer Vision, Natural Language Processing and Deep Learning. Our Data Scientists are responsible for all aspects of the AI lifecycle, from understanding business problems, preparing training data, designing and building … You write production-grade, scalable Python code, ensuring that your models are robust, maintainable, and optimised for performance. Comfortable with PyTorch Knowledge of Transformer-based models Knowledge of Large Language Models (LLMs) Proven experience of having delivered successful either Computer Vision or LLM projects into production Strong understanding of software development fundamentals, in particular deploying models to production and More ❯

Aveni Aveni is an award-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. We’re using the latest in AI to automate and innovate, empowering … guide more junior solutions/presales engineers or consultants. Stay up to date with regulatory developments (e.g. Consumer Duty, risk oversight, compliance in financial services), Agentic/AI/NLP/LLM technologies, competitive landscape. Occasionally participate in post-sales support/implementation oversight to ensure smooth handover, maintain continued alignment and client satisfaction. Skills, Experience & Qualification Requirements Must-haves … Good project management and stakeholder management skills: managing cross functional teams, setting expectations, handling ambiguity. Nice-to-haves: Prior experience in using or building AI Agents, generative models and NLP pipelines. Familiarity with tools or frameworks for LLM deployment, prompt engineering, vector databases, embeddings, etc. Experience with integrations (CRM, communications platforms, call recordings, speech-to-text, etc.). Familiarity with More ❯

Aveni is an award-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 drive unprecedented efficiency and oversight. We More ❯

sector? Aveni is an award-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 drive unprecedented efficiency and oversight. More ❯

General concepts, model development, experimentation, training, evaluation) Deep Learning (General, frameworks like TensorFlow, PyTorch, JAX, Keras, neural networks, CNNs, RNNs, transformer architecture, LSTM) Natural Language Processing (NLP) Reinforcement Learning (e.g., PPO, Q-learning, policy gradients, A2C, DQN, AlphaZero) Computer Vision (e.g., image processing, analysis, instance segmentation, OCR, deepfake detection) Game AI (Specific AI for intelligent opponents … understanding game states, actions, rewards) Data Science & Engineering Data Analysis & Manipulation (including Pandas, Matplotlib, Seaborn, NumPy, statistical analysis, general data processing, visualization libraries) Database Management (SQL, NoSQL, SQLite, data storage Algorithms & Mathematics Algorithms (General and specific like Monte Carlo Tree Search (MCTS), A* pathfinding, Sudoku solving, Collatz sequence, optimization, combinatorial problems) Software Engineering Practices & Tools Version Control (Git/… feedback Proactiveness: Willingness to challenge the status quo to conduct a given task and achieve the end goal Preferred Qualifications: Experience with AI/ML concepts, particularly with large language models (LLMs) and code generation. Familiarity with various programming paradigms (e.g., object-oriented, functional). Experience with code review in a professional or academic setting. Experience in data annotation More ❯

teams, as you will be a prominent figure in expanding this business function moving forward. Preferred Qualifications: Familiarity with deep learning techniques and natural language processing (NLP). Financial services background is preferred but not essential. Understanding of financial regulations and compliance frameworks. Academic background in Computer Science, Data Science, or a related discipline. Salary More ❯

teams, as you will be a prominent figure in expanding this business function moving forward. Preferred Qualifications: Familiarity with deep learning techniques and natural language processing (NLP). Financial services background is preferred but not essential. Understanding of financial regulations and compliance frameworks. Academic background in Computer Science, Data Science, or a related discipline. Salary More ❯

technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies (e.g. Docker) would be advantageous More ❯

technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies (e.g. Docker) would be advantageous More ❯

venture-backed Series A technology startup that is transforming pharmaceutical Research and Development (R&D). They leverage AI-powered data science and Natural Language Processing (NLP) to extract, structure, and organize knowledge from millions of scientific documents. Their mission is to help bioinformaticians and biologists uncover hidden insights and accelerate drug discovery, making the R&D 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 ❯

team and are looking for a Lead AI Technologist to help lead the team, researching and developing novel AI/ML technologies. You’ll lead projects spanning reinforcement learning, NLP, computer vision, and signal processing, while mentoring teams and shaping partnerships with academic and industry leaders. Responsibilities: Lead delivery of large-scale AI/ML projects and ensure high … assurance and technical review Proposal writing experience Strong communication and mentoring skills Beneficial: Expertise in one or more of: AI/ML for imagery and remote sensing Reinforcement learning Natural Language Processing and Large Language Models Knowledge graphs and graph neural networks AI for RF, EW, radar, sonar, or acoustics Autonomy applications If you are interested More ❯

a passion for solving problems using state-of-the-art machine learning, natural language processing and generative AI. About the Role: Applied Scientists are experts in NLP and Machine Learning, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage model training and evaluation design, graph-based AI, and information retrieval … using quick iterations guided by customers' needs. Provide input on project objectives and goals. Communicate effectively with stakeholders. Partner with Engineering to ensure well-managed software delivery. Be an NLP expert with experience in the end-to-end AI development life cycle. About You: You're a fit for the role of Applied Scientist if your background includes: PhD in … a relevant discipline or Master's plus a comparable level of experience 3+ years of hands-on industry experience building NLP/ML/Knowledge Graph/GenAI systems for commercial applications Practical experience with traditional and state-of-the-art NLP methods, Knowledge Graph algorithms, and GenAI (including RAG and agentic frameworks) Experience writing production code Outstanding communication, problem More ❯

authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries More ❯

authentication/authorization standards, and API lifecycle best practices; familiarity with Microsoft Graph API is a plus. Experience & Knowledge Requirements Good knowledge of generative AI, machine learning, deep learning, natural language processing or other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries More ❯