13 of 13 Contract Natural Language Processing Jobs in the UK excluding London

Advanced Analytics: Expertise in analytics for structured data, with strong Python skills and experience using frameworks such as TensorFlow, PyTorch, Keras or Hugging Face.* NLP & ML: Deep understanding of NLP and ML techniques for unstructured content, including experience with foundation models and large language models.* AI Solution Development: Experience … experience with relational and NoSQL databases (SQL, Postgres, DB2, MongoDB). Preferred Experience* Expertise in one or more specialised areas such as NLP, image processing, video processing, voice processing or Watson technologies.* Familiarity with modern UI frameworks (e.g., Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, JQuery) to support integration ...

Python and advanced analytics techniques for structured data, with experience using AI/ML frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. NLP and Machine Learning : Deep understanding of NLP and ML methods for unstructured data, including experience with foundation models and large language models. AI Solution Development … NoSQL databases (SQL, PostgreSQL, DB2, MongoDB). Preferred Professional & Technical Expertise Specialized AI Domains : Experience in one or more of the following areas: NLP, image processing, video processing, voice processing, or Watson technologies. Modern UI Frameworks: Familiarity with modern UI frameworks such as React.js, AngularJS, Backbone.js, Ember.js ...

code/no-code automation, event-driven automation, AI/ML driven automation). Define architecture patterns for AI-enabled communications, including NLP, GenAI, intelligent routing, and automated decisioning models. Ensure alignment with telecom standards, OSS reference architectures, and enterprise architecture guidelines. Drive implementation of automation blueprints across OSS operational ...

carried through to production Desired Skills/Experience Experience of working with .NET 5/.NET Core Experience of .NET stack AI technologies (ML.NET, NLP etc.) Experience of working with Rx (Reactive Extensions) Experience of working with Python Experience of working with HTML5 and JS A working knowledge of Fixed ...

workflows and DevOps tooling Nice to have: Experience with Docker or multi-container application architecture Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen Experience with biological or scientific datasets (genomics, proteomics, etc.) Exposure to frontend development (React preferred) Experience benchmarking and improving AI/ ...

workflows and DevOps tooling Nice to have: Experience with Docker or multi-container application architecture Familiarity with AI/ML technologies such as LLMs, NLP, LangGraph, PydanticAI, or AutoGen Experience with biological or scientific datasets (genomics, proteomics, etc.) Exposure to frontend development (React preferred) Experience benchmarking and improving AI/ ...

andoptimisemulti-agent AI systems usingLangGraphor similar frameworks. Integrate LLMs into agent workflows for search, reasoning, and automation at scale. Conduct applied research in LLMs, NLP, and agent orchestration, with a focus on edge and offline deployments. Build production-ready ML pipelines from ingestion to inference. Infrastructure & Deployment Implement, andmaintainmulti-account ...

e.g., Jira) Hands-on experience with a range of databases and storage technologies: Elastic, Mongo, Cassandra, Redis, S3 Desirable Skills PyTorch, AI/ML, NLP, LLMs Experience with the Atlassian Suite, GitHub, Linux CLI Broader data handling and advanced model-driven development exposure To learn more, please do reach ...

compliance, and customer trust while leveraging advanced analytics and automation. Your Responsibilities Design, develop, and optimize RAG-based solutions integrating retrieval systems with large language models. Build and maintain applications using LangChain to orchestrate complex AI workflows. Implement and manage vector databases (e.g., FAISS, Pinecone, Weaviate, Milvus) for fast … updated with the latest advancements in AI and machine learning technologies. Conduct research to improve existing AI systems and develop new approaches. Knowledge of NLP, computer vision, or reinforcement learning. Experience deploying AI models in production environments. Your Profile Essential Skills/Knowledge/Experience Proven experience in AI, machine ...

heart of real business workflows. This is a hands-on contract role suited to someone who has delivered RAG pipelines, multi-agent systems and NLP-driven applications in live environments, ideally within complex or regulated domains. Location: London (2 days onsite) Contract: 6 Months (OIR35) Rate: £400-500 p/… including: Retrieval-Augmented Generation (RAG) Prompt & context engineering Agentic/multi-agent architectures Experience with frameworks such as LangChain, LangGraph, LangSmith or similar Solid NLP background (tokenisation, embeddings, transformers, BERT-style models, sentiment analysis) Experience integrating vector databases (e.g. Azure AI Search, OpenSearch, Pinecone, Weaviate) Cloud experience on Azure ...

efforts and liaising with stakeholders across the business. Build and optimise workflows for literature mining, summarisation and trend analysis using AI, NLP and advanced analytics tools. Develop and maintain external information endpoints aligned with FAIR data principles to support scientific interoperability. Apply machine learning and large language models … licensing and data governance standards, maintaining robust data integrity and audit trails. Deliver training, guidance and best-practice frameworks to upskill colleagues in AI, NLP and digital content analytics. Please note no visa sponsorship is available for this role - all applicants must hold the full right to work ...

standards and tooling-RDF/RDFS, SPARQL, OWL, SHACL-together with graph databases, ontology-design tools, and visualization platforms such as Linkurious. Apply modern NLP/NLU techniques, from topic modelling to cutting edge entity and relation extraction, plus concise text summarisation. Experience Requirements: Core semantic/graph tech …/streaming or CDC pipelines feeding a knowledge graph. Entity resolution techniques, data cleansing, enrichment, and integration from many sources. Python + ML/NLP stack High quality production code in Python . Libraries such as NetworkX , TensorFlow or PyTorch , NLTK, spaCy, Hugging Face, BERT , Pandas, NumPy, scikit learn . ...

Months Key Responsibilities . Content Analytics & Knowledge Management: o Design and implement workflows for literature mining, summarization, and trend analysis using AI/NLP tools. o Develop and maintain external information endpoints, ensuring FAIR principles (Findable, Accessible, Interoperable, Reusable) and interoperability. . AI & Advanced Analytics: o Apply machine learning … content. o Implement robust data integrity measures and maintain audit trails for AI-driven processes. . Training & Enablement: o Provide training on AI/NLP tools and best practices for content analytics. Core Skills & Competencies . Technical Skills: o Experience or interest in NLP and LLM applications (transformers, Retrieval-Augmented ...