351 to 375 of 411 Natural Language Processing Jobs in the UK

LexisNexis Intellectual Property Solutions (LNIP) in the United Kingdom seeks a Senior Data Scientist I to drive NLP/LLM-based product capabilities within Protégé for PatentSight. You will shape what to build, run experiments, and translate results into scalable, customer-facing solutions with engineers and IP experts. Ideal candidates … combine ML/NLP excellence, strong Python skills, and hands-on experience with generative AI, RAG, and hybrid search using embeddings. #J-18808-Ljbffr ...

Python frameworks such as PyTorch, Tensorflow and Scikit-Learn For more senior candidates: Understanding of, including published work within, related academic fields such as NLP, Computer Vision or Deep Learning Relevant industry experience with demonstrable impact in a commercial setting Significant practical usage of modern ML areas (NLP, Transformers, LLMs ...

respect, collaboration, agility, and quality. About the Role In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation to production, while … will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching talent, setting ...

algorithms for causal discovery, agentic RAG, document intelligence and legacy system connectors. The role offers hands-on ownership and mentorship while applying ML/NLP and data-engineering methods to connect and reason over engineering knowledge. Job Description Role You will deploy and extend the SCOTi platform at a major … vibe coding Creative problem-solving and collaborative communication skills Right to work in the UK Desirable/Knowledge (not required) Experience or knowledge of NLP, LLMs, RAG, information retrieval or knowledge graphs Data engineering experience including APIs, SQL and working with messy real-world data Interest in manufacturing or industrial ...

production. You'll be involved in: Designing the architecture for new AI-powered features and services. Building production AI/ML systems using Python, NLP and LLM technologies. Developing intelligent document-processing and information-extraction capabilities. Integrating LLMs and retrieval-based approaches into existing product workflows. Designing systems that … experience. Significant experience building and deploying AI/ML applications in production. Experience designing the architecture of complex AI systems. Hands-on experience with NLP, LLMs and modern AI technologies. Strong understanding of data engineering and cloud infrastructure. Experience building reliable, scalable applications with demanding performance requirements. The ability ...

services across the business and collaborating with DevOps, data engineers, and developers in a hybrid London setting. Successful candidates will have hands-on NLP model experience, strong Python data science skills, and familiarity with MLOps, CI/CD, and agile ways of working to drive scalable, #J-18808-Ljbffr ...

advertiser outcomes. In less than 100 milliseconds, our models predict age, gender, viewability, fraud, advertiser relevance and many more characteristics of internet users. Using NLP, clustering and LLMs we build topics in multiple languages to help our advertisers target customers interested in their products.As a Machine Learning Engineer you care … languages.• Analytical Rigor: Strong foundation in mathematics, specifically: probability, statistics, hypothesis testing.• ML Knowledge: Practical understanding of machine learning fundamentals (classification, regression, clustering, ranking, NLP, or LLMs).• Data & ML Ecosystem: Familiarity with data processing libraries (e.g. Pandas, NumPy) and ML frameworks (e.g. PyTorch, Scikit-learn or XGBoost). ...

PyTorch , ensuring scalability, reliability and performance in high‐traffic environments. Build and deploy production AI agents using foundation models and fine‐tuned Large Language Models (LLMs), alongside sub‐agents, tools and MCP integrations . Architect end‐to‐end ML pipelines, integrating large‐scale data processing technologies such … loss functions, evaluation methodology, experimentation and the trade‐offs between offline performance and online outcomes . You have experience prompting and fine‐tuning Large Language Models (LLMs) and building production AI agents using modern agentic architectures and tooling. You have proven experience designing scalable data and ML pipelines using ...

respect, collaboration, agility, and quality. About the Role In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation to production, while … will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching talent, setting ...

respect, collaboration, agility, and quality. About the Role In this role, you will define and lead AI and data science strategy across machine learning, NLP, search, and generative AI to deliver impactful, scalable solutions. You will guide teams through the full lifecycle of AI systems, from experimentation to production, while … will also influence senior stakeholders, shape roadmaps, and drive measurable outcomes across the organisation. Responsibilities Set AI and data science strategy across ML, NLP, search, recommendation, experimentation, and generative AI, aligning work to product goals, customer needs, and business priorities. Lead and develop high-performing teams by coaching talent, setting ...

understand our products and technology at a sufficiently high level to communicate confidently with both technical and non-technical stakeholders. Knowledge of AI, NLP, biomedical science, and healthcare will help you understand client needs and effectively bridge the gap between domain experts, clients, and technical teams. Ultimately, you will … with the ability to prepare and communicate client-facing and scientific/technical materials. Working knowledge or practical experience of AI and/or NLP, with sufficient technical understanding to work effectively with technical teams and explain relevant concepts to clients. Ability to understand product and technical concepts, including ...

+ Bonus + BenefitsThis is an opportunity to take ownership of the infrastructure powering a growing AI platform. You'll work across machine learning, NLP, and emerging AI technologies, helping build scalable systems that support real-world impact. The Company A growing AI and data consultancy helping organisations use data … production environments. Hands-on Kubernetes expertise. Experience with workflow orchestration platforms. Infrastructure as Code and CI/CD experience. Understanding of production ML, NLP, or AI systems. ...

About the Role We're building the systems that turn one of the world's largest scientific corpora into research intelligence. That means production NLP pipelines running over millions of journal articles, extracting entities, classifications, claim tuples, and summaries optimized for use by downstream agentic applications. We're looking … someone who wants to see their models through to real users in a rapidly evolving market. What you’ll do Design and build NLP enrichment pipelines that extract entities, classifications, claims, and summaries from scientific full‐text at scale. Compare NLP approaches to extraction and enrichment against LLM‐based approaches ...

Large Language Model (LLM) Technology Architect Career Level: Associate Manager/Specialist Location: London YOU ARE As a hands-on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands … using python Solid foundation in architecting and operationalizing LLM driven application architecture patterns. Professional working experience in coding engineering, machine learning, deep learning and NLP solutions and applications. Several years of hands on experience as a machine learning architect in the industry designing big data, machine learning, large scale analytical ...

Large Language Model (LLM) Technology Architect Career Level: Associate Manager/Specialist Location: London YOU ARE As a hands-on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands … using python Solid foundation in architecting and operationalizing LLM driven application architecture patterns. Professional working experience in coding engineering, machine learning, deep learning and NLP solutions and applications. Several years of hands on experience as a machine learning architect in the industry designing big data, machine learning. large scale analytical ...

About the role We're building the systems that turn one of the world's largest scientific corpora into research intelligence. That means production NLP pipelines running over millions of journal articles, extracting entities, classifications, claim tuples, and summaries optimized for use by downstream agentic applications. We're looking … someone who wants to see their models through to real users in a rapidly evolving market. What you’ll do Design and build NLP enrichment pipelines that extract entities, classifications, claims, and summaries from scientific full‐text at scale. Compare NLP approaches to extraction and enrichment against LLM‐based approaches ...

Anthropic certified AI Large Language Model (LLM) Technology Architect Location: London YOU ARE As a hands-on AI/LLM Architect, you will be at the heart of designing and building advanced AI systems that power the modern enterprise. This is a deeply technical, hands-on role — you will … using python Solid foundation in architecting and operationalizing LLM driven application architecture patterns. Professional working experience in coding engineering, machine learning, deep learning and NLP solutions and applications. Several years of hands on experience as a machine learning architect in the industry designing bigdata,machine learning. large scale analytical engineering ...

Gujral in Manchester is seeking a Data Scientist with 7–10 years of experience. You will bring NLP expertise and the ability to analyse large data sets to uncover new insights. You'll work in a multidisciplinary, highly technical environment, developing scalable data mining and ML solutions. Proficiency with C++ ...

creation. Drive experimentation and evaluation of algorithms, ensuring scalable deployment and continuous performance improvements. Stay current with academic and industry advances in machine learning, NLP, and deep learning, and guide the team in applying them to real‐world challenges. Location: Work onsite in London. Minimum Qualifications Master’s degree … higher in Computer Science, Mathematics, or a related field, with specialization in machine learning, NLP, or information retrieval. 6+ years of experience in search, recommendation, or advertising systems, including at least 2 years in a leadership or team management role. Proficiency in machine learning, NLP, and deep learning algorithms, with ...

pipelines, establishing metrics and benchmarking models on large datasets to steer R&D. Drive advanced prompt-engineering practice to maximise model efficacy. Apply core NLP fundamentals (tokenisation, embeddings, model architecture) while keeping outputs structured, performant and cost-efficient. Own clean, modular Python back-end code for data-intensive systems, balancing … systems Hands-on experience designing LLM agents and RAG pipelines. Proficiency with AI evaluation frameworks and end-to-end evaluation pipelines. Solid grounding in NLP fundamentals (tokenisation, embeddings, bias handling). Ability to juggle token limits, cost and latency while delivering structured outputs. You will be: A builder. You might ...

data. Collaborate with data scientists, analysts, and software engineers to ensure data availability, quality, and usability. Apply data parsing, extraction, and transformation techniques (e.g., NLP, OCR, image/audio processing). Implement data governance, metadata management, and data cataloging for unstructured data assets. Monitor and optimize data workflows ...

join a cutting-edge AI research project in partnership with a leading research lab. This role centers on evaluating how effectively a large language model (LLM) performs in English-language tasks and on curating high-quality English linguistic data to train and improve the model’s understanding … English, with an excellent command of grammar, syntax, vocabulary, and stylistics. Professional experience in editing, proofreading, writing, linguistic annotation, language evaluation, or NLP data work in English. Strong understanding of linguistic nuances, regional variations, tone, and context-appropriate English usage. Excellent ability to identify subtle grammatical errors, awkward phrasing ...

Large Language Mode (LLM) Technology Lead/Principal Architect Career Level: Senior Manager/Associate Director YOU ARE As a Lead or Principal AI Architect, you will serve as the definitive technical authority on AI architecture within client engagements and across the practice. You will own the complete … Generative AI space. Well versed in architecting and operationalizing LLM driven application architecture patterns. Deep experience in engineering, machine learning, deep learning and NLP solutions and applications Several years of hands on experience as a machine architect in the industry designing big data, machine learning. ABOUT ACCENTURE Accenture ...

Elsevier is hiring a Senior Data Scientist to design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support. You will work with large scientific datasets, apply LLM-based approaches, and collaborate across teams to produce production-ready systems with measurable user impact. ...

LexisNexis Intellectual Property Solutions seeks a Data Scientist III to shape NLP/LLM-powered features for Protégé in PatentSight. You will lead experiments, craft agentic AI workflows, and collaborate with engineers to translate findings into scalable, user-facing capabilities. The role emphasizes defining what to build, evaluating advanced analytics ...