351 to 375 of 2,439 LLM Jobs in the UK excluding London

research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs, and integrations to inform product strategy. ...

research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs, and integrations to inform product strategy. ...

research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs, and integrations to inform product strategy. ...

research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs, and integrations to inform product strategy. ...

research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs, and integrations to inform product strategy. ...

research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs, and integrations to inform product strategy. ...

research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs, and integrations to inform product strategy. ...

research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs, and integrations to inform product strategy. ...

ideation → delivery, ensuring measurable value through implementation. Define RAG architectures and retrieval pipelines; select and design around vector databases. Design evaluation frameworks (MES/LLM-as-a-Judge) and operationalise quality controls. Implement prompt management (versioning/testing/lifecycle) suitable for production. Design guardrails and risk controls (prompt injection ...

product environments. A knack for translating business needs into clear, detailed requirements and user stories. Hands-on experience with AI/ML or LLM-based solutions (think: generative assistants, recommendation engines, automation tools). Strong analytical chops and a love for problem-solving. Top-notch communication skills-you can talk ...

architecture from discovery through to deployment. What You'll Build You'll design and deploy sophisticated AI systems across multiple domains. This includes building LLM applications with robust orchestration, creating multi-agent architectures that handle complex workflows, and implementing advanced retrieval systems using vector databases and embeddings. You'll work ...

ground'. Engage with the very fast-evolving AI landscape, technologies. Happy to work with 'classic' ML as much as the latest LLM developments. Wider experience developing modern tech stacks and cloud platforms is going to very useful. Capable of engineering in front-end languages and libraries e.g. React ...

ground’. Engage with the very fast-evolving AI landscape, technologies. Happy to work with 'classic' ML as much as the latest LLM developments. Wider experience developing modern tech stacks and cloud platforms is going to very useful. Capable of engineering in front-end languages and libraries e.g. React ...

core product features across the stack from cloud infrastructure to prompting to UX, including Python backend, Next.js with TypeScript frontend, PostgreSQL, and Azure-hosted LLM workloads with CI/CD pipelines via GitHub Actions and IaC such as Bicep Work directly with litigators and knowledge workers to understand how lawyers ...

generate actionable business insights Work across the full data lifecycle, from discovery and prototyping through to deployment and maintenance Contribute to GenAI/LLM-based use cases, explaining solutions to both technical and non-technical audiences Write clean, well-documented, and testable code in complex environments Engage in technical discussions ...

trust, shaping both enterprise outcomes and the firm's long-term engineering capability. Responsibilities: You will design and build production-grade AI systems across: LLM applications using modern orchestration patterns, prompt frameworks, and evaluation loops. Multi-agent architectures, including planning, delegation, safety constraints, and monitoring. Retrieval & vector-based systems, embeddings ...

Building clean, intuitive UIs for AI tools (React/Vue/Angular or Blazor) Developing scalable back-end services in C# .NET Integrating real LLM/GenAI capabilities into production products Creating responsive components that simplify complex AI workflows Working closely with AI platform engineers Writing maintainable, well-tested code ...

Compose Terraform or other IaC tools EF Core, relational DB experience NoSQL (MongoDB, Cosmos DB) Microservices in Java/JS/TS Experience with LLM/AI integration frameworks (e.g., LangChain) Familiarity with modern design systems Additional Information A flexible benefits package is available to tailor to personal needs Applicants ...

Compose Terraform or other IaC tools EF Core, relational DB experience NoSQL (MongoDB, Cosmos DB) Microservices in Java/JS/TS Experience with LLM/AI integration frameworks (e.g., LangChain) Familiarity with modern design systems Additional Information A flexible benefits package is available to tailor to personal needs Applicants ...

Compose Terraform or other IaC tools EF Core, relational DB experience NoSQL (MongoDB, Cosmos DB) Microservices in Java/JS/TS Experience with LLM/AI integration frameworks (e.g., LangChain) Familiarity with modern design systems Additional Information A flexible benefits package is available to tailor to personal needs Applicants ...

Compose Terraform or other IaC tools EF Core, relational DB experience NoSQL (MongoDB, Cosmos DB) Microservices in Java/JS/TS Experience with LLM/AI integration frameworks (e.g., LangChain) Familiarity with modern design systems Additional Information A flexible benefits package is available to tailor to personal needs Applicants ...

Compose Terraform or other IaC tools EF Core, relational DB experience NoSQL (MongoDB, Cosmos DB) Microservices in Java/JS/TS Experience with LLM/AI integration frameworks (e.g., LangChain) Familiarity with modern design systems Additional Information A flexible benefits package is available to tailor to personal needs Applicants ...

TypeScript, Go, Rust, or similar technologies. Design and ship backend systems from day one — scalable architectures, APIs, and AI-powered tools. Build and deploy LLM-based applications using frameworks such as LangChain, semantic search, RAG, and fine-tuning (SFT/RL). Develop backend logic and data pipelines to power ...

challenges The latest technology solutions from industry and academia and how to apply them to solve real world customer problems As a Full Stack LLM Development Specialist, you will: Design and build use-case and platform technology solutions to solve key business challenges using reference and cutting-edge technologies ...

pipelines Cloud security & compliance (HIPAA/GDPR/NHS DTAC) Frontend React TypeScript Tailwind Component-driven development AI/RAG/Knowledge Pipelines LLM-powered features RAG pipelines (embedding models, chunking strategies, semantic search) Document extraction/processing (PDF parsing, OCR, agentic pipelines) Clinical content ingestion workflows Evaluation frameworks ...