1 to 25 of 55 Remote Natural Language Processing Jobs in the UK excluding London

and deploying machine learning solutions in production environments. • Strong track record of successfully translating academic research into real-world applications and products. • Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery • Deep experience in Python and … and lead on technical standards maintenance. Desirable: • PhD degree or equivalent qualifications and experience in computer science, machine learning, artificial intelligence, or a closely related field. • Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems. • Experience in applying machine learning to educational assessment and learning solutions • Experience in leading … Press Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Academia , Machine Learning , Natural Language Processing , NLP , United Kingdom 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 ❯

AWS, Azure, or Google Cloud. • Experience in multiple industries is advantageous (e.g., healthcare, finance, retail). Skills: AI/ML Expertise: Strong understanding of machine learning algorithms, deep learning, natural language processing, computer vision, and data-driven problem-solving techniques. Architecture Skills: Proven ability to design and architect scalable, reliable, and high-performance Al solutions. Leadership and … risks, and opportunities. 4. Research and Development: Emerging Technologies: Stay updated on the latest developments in Al technologies, including deep learning, reinforcement learning, natural language processing (NLP), and computer vision, and evaluate their potential impact on business processes. Proof of Concept (POC): Lead the development of PoCs and pilot projects to test Al ideas and validate their More ❯

you a DevOps engineer ready to dive into the world of MLOps? Do you want to work on real-world deployments of cutting-edge machine learning models, including Large Language Models (LLMs)? We're looking for a motivated Junior MLOps Engineer with a DevOps background, eager to help us deploy and maintain machine learning models, especially Large Language … 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. Aveni harnesses the power of voice to drive unprecedented efficiency and oversight. More ❯

Scientists, Software Engineers and Architects on a new GenAI capability. The next, you're fine-tuning prompts or experimenting with Computer Vision and Natural Language Processing (NLP). You'll stay sharp on emerging trends in AI and push us to keep evolving and delivering state-of-the-art AI capabilities. We're big on flexibility. Our More ❯

Scientists, Software Engineers and Architects on a new GenAI capability. The next, you're fine-tuning prompts or experimenting with Computer Vision and Natural Language Processing (NLP). You'll stay sharp on emerging trends in AI and push us to keep evolving and delivering state-of-the-art AI capabilities. We're big on flexibility. Our More ❯

a story and provide the 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 used. This will ensure that More ❯

a story and provide the 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 used. This will ensure that 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 ❯

Scientist, you will be responsible for delivering client-ready healthcare-focused AI and data science projects. This role involves leading the technical delivery of specialist AI projects, including large language models, natural language processing, knowledge graphs, semantic data modelling and advanced analytics. You will support project scoping, technical planning and the development of innovative data solutions. More ❯

Scientist, you will be responsible for delivering client-ready healthcare-focused AI and data science projects. This role involves leading the technical delivery of specialist AI projects, including large language models, natural language processing, knowledge graphs, semantic data modelling and advanced analytics. You will support project scoping, technical planning and the development of innovative data solutions. More ❯

Scientist, you will be responsible for delivering client-ready healthcare-focused AI and data science projects. This role involves leading the technical delivery of specialist AI projects, including large language models, natural language processing, knowledge graphs, semantic data modelling and advanced analytics. You will support project scoping, technical planning and the development of innovative data solutions. More ❯

gathering Design and build scalable data pipelines that process billions of data points using AI/ML models for entity extraction and relationship mapping Lead the integration of Large Language Models (LLMs) for natural language processing of intelligence data Develop robust APIs and microservices that handle real-time threat analysis at scale Implement computer vision systems … Are Expert proficiency in Python, JavaScript, and modern web frameworks Deep experience with AI/ML frameworks (PyTorch, TensorFlow, Transformers, LangChain) Mastery of prompt engineering and fine-tuning Large Language Models Proficient in vector databases (Pinecone, Weaviate, Milvus) and embedding technologies Expert in building RAG (Retrieval-Augmented Generation) systems at scale Strong experience with MLOps practices and model deployment … in building real-time streaming architectures Experience building production AI systems handling sensitive data Knowledge of AI safety, bias detection, and ethical AI practices Familiarity with computer vision and NLP techniques for OSINT Understanding of adversarial AI and security implications Proven track record of leading complex technical projects Ability to make architectural decisions that scale to billions of data points More ❯

be expected to: Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms/frameworks and implement More ❯

be expected to: Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms/frameworks and implement More ❯

be expected to: Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms/frameworks and implement More ❯

be expected to: Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms/frameworks and implement More ❯

be expected to: Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms/frameworks and implement More ❯

encompasses Python, Go, TypeScript, React, Kubernetes, MongoDB, and Generative AI integrations, requiring adaptability and a commitment to continuous learning. Responsibilities Design, develop, and test software applications that leverage Large Language Models and AI capabilities Collaborate closely with team members to ensure software is developed and delivered on time and within budget Set standards for excellence: high-quality software and … code and codified controls mindset Support and drive cultural change by encouraging critical thinking about controls and processes and fostering a culture of continuous improvement Integrate and optimize Large Language Model capabilities in production applications Develop robust prompt engineering strategies and AI workflow automation Key Characteristics Proven ability to identify and solve complex problems effectively Excellent communication and collaboration … practices Preferred Experience Previous experience working with OpenAI, Anthropic, Google AI, or similar LLM providers Experience integrating AI/ML models or APIs into production applications Familiarity with Large Language Model APIs, prompt engineering, and AI workflow design Understanding of AI safety, responsible AI practices, and model performance optimization Knowledge of vector databases and semantic search technologies Experience with More ❯

We achieve this through employing more than 250 analysts supported by many hundreds more freelance experts to source and verify information. Our experts are supported by technologies such as natural language processing, web scraping and monitoring, data visualization, and other analytical tool sets. A key value we provide is topic selection: deciphering what is salient, standing up … complexity of our data and Tradecraft processes we use a broad range of specialist technologies and approaches including AI, ML, graph and document databases, search platforms, serverlesstechnologies and event processing platforms, customer portals, visualisation platforms, Geospatial systems as well as general purpose AWS platform capabilities. Our world suits those who enjoy working within an empowered, disciplined development environment delivering More ❯

languages such as Python, Bash or similar - Knowledge of Big Data tech such as Hadoop or simlar - Knowledge in the following areas are highly desirable but not essential - AI, Natural Language Processing, OCR - Experience with containerisation via Docker is highly advantageous - Please not roles are subject to UK security clearance checks as such candidates must be eligible More ❯

multiple organisations for collaborative tasks. Detail oriented with excellent prioritisation, and multitasking abilities. Ability to work collaboratively with minimal supervision. Familiarity with AI technologies, such as ChatGPT or similar natural language processing model Experience in the insurance and/or consulting or wider financial services sector. Why join our team: We help you be your best through More ❯

measurable business value through customer-focused models and analytics Experience working in B2C, e-commerce, subscription, retail, or fintech industries is a strong advantage Nice to Have Experience with NLP for customer feedback or support ticket analysis Exposure to MLOps for model deployment and monitoring Familiarity with tools like Amplitude, Mixpanel, or Google Analytics Why Join Us? Shape data-driven More ❯

and cross-functional teams. Champion ethical AI principles, ensuring fairness, transparency, and robustness in deployed models. What we need you to have: A deep technical grounding in machine learning, NLP, computer vision, or autonomous systems,ideally with hands on experience in deep learning frameworks. Proven track record of leading AI initiatives from R&D to production, including delivery of generative More ❯

new Senior Data Scientist, you'll work on exciting projects including productionising forecasting algorithms, developing classification models, exploring customer behaviours, and supporting personalisation strategies - with opportunities to work on NLP projects too. You'll also take ownership of projects, support our data science tooling (including Databricks and AWS), and collaborate closely with experts in Data Engineering, BI, Analytics, and Data More ❯