276 to 300 of 2,799 LLM Jobs in England

Shiny for developing and deploying applications. Strong SQL skills and familiarity with integrating systems via REST APIs. Practical experience with generative AI tools, including LLM APIs and prompt design. Familiarity with Git and version control, and ability to work iteratively with non-technical users. Experience with cloud data warehouses like ...

experience in performance tuning.* Track record of designing and building systems for high throughput and low latency.* Hands-on experience with agentic AI development: LLM integration, prompt engineering, and SDLC automation.* Solid understanding of middleware and messaging technologies such as Chronicle Queue, RabbitMQ, Aeron, and Kafka.* Working knowledge of Spring ...

data analysis and an appreciation of wider data science techniques,sufficient to collaborate credibly with Data Scientists and Actuarialcolleagues. Hands-onexperience applying AI and LLM tooling to analytics work (such as Copilotfor Power BI/Fabric, MCP-style integrations or agentic assistants). Experiencewith Microsoft Fabric, dbt, Azure DevOps/ ...

messaging technologies such as Kafka, RabbitMQ, or Solace.* Solid understanding of Spot, Futures, and Options markets.* Hands-on experience with agentic AI development: LLM integration, prompt engineering, and SDLC automation.* Familiarity with Git/GitHub, JIRA, Confluence, and CI/CD practices.* Bachelor's degree in Computer Science ...

safe AI‐in‐the‐SDLC practices, code review, automated testing and staged CI/CD for AI‐generated changes. Familiarity with integrating AI/LLM services into applications (M365 Copilot, Azure OpenAI or equivalent APIs). Required Skills & Experience Front‐end skills: strong commercial experience with JavaScript, TypeScript, React ...

include: Design and build AI-assisted tooling that accelerates and de-risks customer migrations onto and between Smart Communications products Apply current AI/LLM techniques where they add real value to migration analysis, transformation or validation work Collaborate closely with the wider Migrations and Platform teams on tooling ...

areas. Strong foundation in Statistics, Machine Learning and Data Science. Strong hands‐on experience with Python and SQL. Significant experience with Generative AI/LLM applications. Strong understanding and practical experience with: RAG Embeddings Tool calling Agent orchestration Agent memory/state LLM evaluation AI agents/agentic workflows Experience ...

ideas, products, and processes. About the Role: As a Senior Data Scientist at Elsevier, you will develop and deploy advanced AI, machine learning, and LLM-powered solutions that support scientific discovery, research intelligence, and editorial workflows. Working across the full model lifecycle, you will apply techniques such as machine learning … complex scientific information. In this role you will: Design, develop, and deploy advanced AI, machine learning, NLP, and generative AI solutions, including LLM-powered applications, semantic search, retrieval-augmented generation (RAG), agentic workflows, and scientific knowledge discovery systems. Build and optimise intelligent research and decision-support capabilities using embeddings, retrieval ...

engineering, architecture, and platform leadership experience. Demonstrate 8+ years delivering AI/ML platforms in production environments. Proven experience architecting and deploying Agentic AI, LLM, and Generative AI solutions at scale. Strong background in Financial Services, Banking, Insurance, Healthcare, or other regulated industries. Demonstrated experience leading large engineering teams … delivering enterprise AI platforms from strategy through implementation and operationalisation. Demonstrate expertise in Multi-Agent Systems, Agentic AI Architecture, Retrieval Augmented Generation (RAG), LLM Application Design, Prompt Engineering, Responsible AI, and AI Evaluation Frameworks. Experience with LangChain, LangGraph, Semantic Kernel, and AutoGen. Hands-on experience with Azure AI Foundry/ ...

data and model layers of our client projects: designing and building the pipelines that feed AI systems, developing and deploying ML and LLM‐powered solutions, and standing up the RAG pipelines and agentic AI systems. Your role will include planning, tool use, and human‐in‐the‐loop guardrails that power … reliability Design and implement RAG (Retrieval‐Augmented Generation) systems using vector databases (Pinecone, Weaviate, Chroma), including embedding, chunking, and retrieval‐quality evaluation Integrate LLM APIs (OpenAI, Anthropic, etc.) into production services and product workflows Design and build agentic AI systems (multi‐step planning, reasoning, tool use, and memory) using frameworks ...

About Us: Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery. We work closely with our clients ...

implementation plans. This role requires someone who can combine technical depth with architecture-level thinking. You should be confident designing AI platforms, RAG systems, LLM applications, multi-agent workflows, semantic retrieval solutions, and MLOps pipelines for regulated or enterprise-scale environments. Key Responsibilities Design enterprise AI architectures using GenAI, LLMs … Architect, Solutions Architect, Enterprise Architect, Senior AI Engineer, ML Architect, or Cloud AI Architect. Hands-on experience designing and delivering GenAI, LLM, RAG, agentic AI, or enterprise AI platforms. Strong understanding of RAG architecture, vector search, embeddings, chunking, reranking, retrieval validation, and semantic search. Experience with MLOps, AI observability, model ...

The NHS workforce is broken. Clinician burnout is at an all-time high. The UK's temporary staffing bill has hit £8 billion. The way healthcare organisations manage and schedule their workforce is failing. We ...

python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).. Experience working with language models like LLM's APIs and optimizing their usage for specific applications. Experience with the following programming languages: Python, C++, Java, R, SQL Strong written & verbal communication skills ...

python-based AI/ML framework and familiarity with relevant libraries and frameworks (e.g., TensorFlow, PyTorch).. Experience working with language models like LLM's APIs and optimizing their usage for specific applications. Experience with the following programming languages: Python, C++, Java, R, SQL Strong written & verbal communication skills ...

delivery Experience building or supporting data pipelines for analytics, model evaluation, and training with appropriate controls (for example versioning and validation) Experience with large language model application patterns, including retrieval-augmented generation and prompt design Preferred Qualifications, Capabilities, and Skills Experience delivering AI or machine learning products ...

looking for someone who Has experience leading data annotation or AI evaluation teams Has strong operational and people management skills Understands AI model evaluation, LLM behaviour, and modern annotation workflows Can design scalable processes without sacrificing quality Communicates clearly across technical and non-technical teams Thrives in fast-moving startup ...

users to understand problems and deliver measurable outcomes Acting as the go-to AI specialist within the business Experience building and deploying AI or LLM-powered applications used by real users Strong Python engineering skills Experience with prompt engineering, tool calling and model integrations Experience designing and consuming REST APIs ...

Experience building prototypes or proof-of-concept applications using AI-assisted development tools (e.g., Cursor, Claude Code, GitHub Copilot) Familiarity with integrating AI/LLM APIs (e.g., Anthropic, OpenAI, AWS Bedrock) into applications, automations, or workflows Curiosity and drive to keep up with emerging AI tools and share best practices ...

skilled Senior Data Science Consultant with hands-on experience, including at least 1-2 years in Generative AI (Gen AI) and Large Language Models (LLM) development and evaluation. The ideal candidate will have extensive experience in one (or more) of the following areas: customer behaviour analytics, marketing, commercial ...

discuss and demonstrate the value of Generative AI and Machine Learning (ML) use cases for enterprises. Hands-on experience with modern AI/LLM ecosystems, including Retrieval-Augmented Generation (RAG), and familiarity with open-source frameworks such as LangChain, Hugging Face, or PyTorch, along with a solid understanding ...

program deliverables. Partner across business, operations, legal, compliance, risk, audit, and technology to deliver consistent risk practices. Leverage Alteryx, Python, and GenAI/LLM to automate processes and improve risk management. Deliver results under tight deadlines in a dynamic, evolving environment. Required Qualifications, Capabilities, and Skills Proficiency in Alteryx, Python ...

augmented generation grounded in our first-party reviews and content, and automated content — with rigorous evaluation to control quality and cost, including agentic and LLM-driven experiences as this work scales. Grow, develop, and retain the team . Shape ML and data-science career ladders and dual technical/management ...

into production. Document agents, skills and data dependencies so they can be supported, reused and scaled. Core skills and knowledge Hands-on experience building LLM-based solutions or AI agents (tool use, retrieval/RAG, multi-step workflows) in a commercial or substantial project setting. Strong prompt and context engineering ...

such as SQS, RabbitMQ or Kafka. Instrument what you build, with metrics, tracing and monitoring from the start. Stronger still if you have Measured LLM quality before, or built agents yourself. Packaged and run workloads in Docker and on virtual machines. Used Temporal, Dask, FastAPI, PostgreSQL, Grafana or Datadog. Automated ...