1 to 25 of 93 Remote Natural Language Processing Jobs in England

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

enterprise-grade AI systems to public and private sector clients. Key Responsibilities Design and architect AI and machine learning solutions across a range of use cases, including predictive analytics, natural language processing, and generative AI. Lead technical delivery teams, providing guidance on best practice, architecture, and development processes. Collaborate with stakeholders to define AI strategy, translate business … and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non-technical audiences, manage stakeholder relationships, and inspire cross-functional More ❯

enterprise-grade AI systems to public and private sector clients. Key Responsibilities Design and architect AI and machine learning solutions across a range of use cases, including predictive analytics, natural language processing, and generative AI. Lead technical delivery teams, providing guidance on best practice, architecture, and development processes. Collaborate with stakeholders to define AI strategy, translate business … and Experience Required Strong capabilities across a range of AI techniques, including supervised and unsupervised learning, generative AI, deep learning, graph analytics, statistical modelling, time-series forecasting, geospatial analysis, NLP, sentiment analysis, and pattern detection. Excellent communication skills, with the ability to present complex technical concepts clearly and confidently to non-technical audiences, manage stakeholder relationships, and inspire cross-functional More ❯

for learning new technologies, including AI advancements, and a desire to explore innovative solutions under mentorship and guidance. Desirable: Exposure to courses related to Artificial Intelligence, Machine Learning, or Natural Language Processing Familiarity with frameworks like Express.js, Flask, or NestJS Familiarity with libraries like TensorFlow, PyTorch, or scikit-learn Basic understanding of Amazon Web Services Culture: Coffee More ❯

passion for solving problems using state-of-the-art information retrieval, natural language processing and generative AI. About the Role Lead Applied Scientists are experts in NLP/IR/ML/GenAI, responsible for the design and delivery of AI solutions that enhance Thomson Reuters' products. They leverage information retrieval techniques, prompting workflows, model training and … of Lead Applied Scientist if your background includes: PhD in a relevant discipline or Master's plus a comparable level of experience, 7+ years of hands-on experience building NLP/IR systems for commercial applications, Experience writing production code and ensuring well-managed software delivery, Demonstrable experience translating complex problems into successful AI applications, Professional experience scaling yourself and More ❯

Experience with Azure based AI technologies such as Azure AI Foundry Experience working with LLMs and Agentic AI on real-world problems. Strong understanding of machine learning algorithms and natural language processing techniques. Strong inter-personal skills and ability to collaborate with cross-functional teams and translate business problems into technical solutions. Experience with deploying AI models More ❯

on complex, high-value matters at the forefront of AI development. The role: Drafting and prosecuting patent applications for a wide range of AI-related innovations, including machine learning, natural language processing, and data analytics. Providing strategic IP advice to clients developing novel software and hardware solutions. Managing a diverse portfolio of domestic and international clients, often More ❯

on complex, high-value matters at the forefront of AI development. The role: Drafting and prosecuting patent applications for a wide range of AI-related innovations, including machine learning, natural language processing, and data analytics. Providing strategic IP advice to clients developing novel software and hardware solutions. Managing a diverse portfolio of domestic and international clients, often More ❯

Build and support AI pipelines — from data preprocessing to model deployment and monitoring 💬 Collaborate with cross-functional teams to integrate AI solutions into production environments 🔍 Explore use cases in NLP, computer vision, and generative AI using frameworks such as PyTorch, TensorFlow, and Hugging Face 🔒 Contribute to model governance, compliance, and responsible AI practices What’s in it for you? 📈 Career More ❯