26 to 39 of 39 Natural Language Processing Jobs in the UK excluding London

will be required to go through MOD SC clearance. You will be involved in: Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics Own the ML lifecycle from data preparation through training, evaluation, and deployment Implement and maintain MLOps workflows for continuous integration and delivery ...

solutions to customers and internal stakeholders Demonstrate deep understanding of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to undertake research and development beyond existing literature. Experience of training and developing AI models including Large Language ...

Deep technical expertise across modern AI/ML ecosystems Track record of translating emerging technologies into measurable outcomes Technical Expertise Generative AI & LLMs Large Language Models (GPT, Claude, Llama, Mistral or similar) Prompt engineering … fine-tuning, RAG (Retrieval Augmented Generation) Multimodal AI (text, image, audio, video) Agentic frameworks and orchestration AI/ML Engineering Python, PyTorch, TensorFlow, JAX NLP, deep learning, model optimisation Evaluation frameworks and guardrails Data & Platforms Vector databases (Pinecone, Weaviate, FAISS, Milvus) Knowledge graphs and semantic search Data engineering pipelines MLOps ...

plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client … organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements: Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams ...

Responsibilities: Design and implement generative models using state-of-the-art architectures (e.g., GPT, DALL E, Stable Diffusion). Fine-tune and optimize large language models (LLMs) for specific tasks and domains. Build pipelines for data preprocessing, model training, evaluation, and deployment. Collaborate with product, design, and engineering teams … Abilities: Strong programming skills in Python and experience with ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers). Solid understanding of deep learning, NLP, and generative modeling techniques . Experience with training and fine-tuning large-scale models . Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps tools. ...

plus 15% clearance bonus Must be willing to be full-time on-site in Manchester Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client … organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams ...

plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client … organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams ...

closely related field). Strong interest in AI applied to biotech, healthcare, or medical data Solid programming experience (e.g. Python ) Exposure to LLMs , NLP, or generative AI Familiarity with machine learning concepts and data processing Experience working with large datasets (academic, research, or commercial) Comfortable working in a remote ...

excellent opportunity for ambitious graduates who want to work with cutting-edge technologies including Artificial Intelligence, Machine Learning, Generative AI and Large Language Models (LLMs) while developing their technical skills within a supportive engineering environment. Successful candidates will gain hands-on experience working alongside experienced engineers and data scientists … graduate opportunities in AI, machine learning, data science or software engineering. Key Skills: Artificial Intelligence, Machine Learning, Data Science, Python, AI Engineer, Data Analyst, NLP, Deep Learning, Generative AI, Graduate Developer, LLM, Software Engineering. ...

Senior AI Engineer (NLP/LLMs) – remote (UK based) £70-100k depending on experience A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex … data workflows, solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business ...

Senior Data Scientist A great opportunity to join a team building advanced conversational AI and NLP products for financial services. This role is ideal if you enjoy modern LLMs, problem solving, and bringing machine learning models into production. The Company They are a growing data and AI organisation developing conversational … tools, data assistants, and NLP solutions for analytics and trading teams. Their work spans LLM fine tuning, automation, and website chatbots, supported by strong engineering and DevOps functions. They operate an AWS environment and encourage collaboration across teams. The Role Build and fine tune LLMs and NLP models for analytics ...

Machine Learning Developer (Document AI & NLP) Duration: 6-month contract (FTC/Subcon) role Hybrid 3 days onsite Location:Sheffield The Role You will design and build Python-based ML and OCR components, taking ownership of the full lifecycle-from initial requirement gathering with stakeholders to deployment and production support. … Generative AI. Technical Requirements Mandatory Skills: Azure Machine Learning: Proven experience within the Azure ecosystem. Document AI: Strong background in Intelligent Document Processing (IDP) using both traditional and Generative AI (specifically open-source models). Python Expert: Deep proficiency in Python for production-level Machine Learning and NLP. Frameworks ...

week in Brighton office** Do you want to build production GenAI systems used by real customers today? Have you taken LLM or NLP models all the way from idea to deployment? Are you ready to own applied AI work end to end in a scaling product team? A well-backed … hiring an AI Engineer to join a small, high-impact cross-functional team. This is a hands-on applied AI role, focused on NLP and LLM systems, with real ownership across modelling, deployment, and iteration in production. Key responsibilities • Build and deploy production-grade Python ML services • Develop applied ...

policy and claims management product, define and build new features that improve user productivity and automate high-volume, repeatable processes, particularly around claims invoice processing and related workflows. You will work within a Scrum team (3-week sprints), contributing to our existing .NET/Angular platform while leading … common AI/automation building blocks such as: OCR and document understanding (e.g. cloud services or libraries). Entity extraction, text classification, or similar NLP tasks. Rule engines, workflow engines, or BPM/orchestration tools. Strong understanding of non-functional requirements for AI features: Performance and throughput for high-volume ...