1 to 25 of 1,180 LLM Jobs in England

agent behaviours, defining secure, scalable solution architectures. Build and maintain AI components (e.g. RAG, classification, recommendation, summarisation) using Python and modern ML/LLM frameworks. Implement end-to-end MLOps pipelines for development, testing, deployment and monitoring of Copilot and AI solutions, and deploy them into production environments (e.g. Microsoft ...

frameworks such as LangChain, LlamaIndex, CrewAI, Autogen, Google ADK, or similar. Ability to design and implement RAG pipelines, agentic workflows, MCP and integration with LLM APIs (OpenAI, Anthropic, Hugging Face OR similar). Proficiency in CI/CD and containerisation: GitHub Actions, Azure DevOps, Docker, Kubernetes. Nice to haves: Familiarity ...

technical stakeholders and to articulate a clear technical vision that aligns with business goals. Technical Skills AI/GenAI/Agentic Platforms LLM & Agentic Frameworks: Deep expertise in building production‐grade agentic systems using GCP as primary (ADK, Vertex AI) Multi‐Agent Systems: Hands‐on experience designing and implementing multi ...

pure research or proof-of-concept work. Key Responsibilities Design, build, and deploy machine learning models into production environments Work with generative AI/LLM integration, including prompt engineering, fine-tuning, or RAG-based architectures Collaborate with data engineers and software developers to build robust data pipelines feeding ML systems ...

tools for insurance use cases.* Implement Retrieval‐Augmented Generation (RAG) patterns using structured and unstructured insurance data (policies, submissions, bordereaux, claims documents).* Build LLM‐based workflows and agents using platforms such as ChatGPT (OpenAI) and Claude (Anthropic).**Cloud & Platform Engineering (GCP)*** Develop and deploy AI solutions on Google ...

business impact and a strong programming foundation (Java, Python, Go, or equivalent). Hands‐on experience with AI/ML engineering—including working with LLM APIs (OpenAI, Anthropic, Gemini, or open‐source equivalents), embedding models, and vector databases. Proven expertise in prompt engineering: designing, iterating, and evaluating prompts for production ...

technical stakeholders and to articulate a clear technical vision that aligns with business goals. Technical Skills AI/GenAI/Agentic Platforms LLM & Agentic Frameworks: Deep expertise in building production‐grade agentic systems using GCP as primary (ADK, Vertex AI) Multi‐Agent Systems: Hands‐on experience designing and implementing multi ...

field, or demonstrable relevant experience. Additional desired skills Knowledge of vector databases and retrieval strategies. Experience with recommender systems and ranking models. Familiarity with LLM evaluation tools (e.g., RAGAS, TruLens, LangSmith, Arize). A working understanding of cloud networking and platform infrastructure. Experience in e‐commerce or retail environments. ...

Retrieval Augmented Generation applications, AI agents & systems built around them. Experience using GenAI frameworks such as LlamaIndex, Crew AI, AutoGen, or similar agentic/LLM orchestration toolkits. Exposure to working with unstructured data (documents, conversations, images) & transforming it into usable structured formats. Experience building chatbots, search systems, or generative ...

such as PyTorch, TensorFlow, and Hugging Face. Experience taking AI proof-of-concepts from idea to production. Strong knowledge of deep learning, NLP, and LLM architectures and experience in fine-tuning LLMs or training domain-specific models, RAG, embeddings, and vector databases. Familiarity with agentic AI concepts and orchestration frameworks. ...

equivalent in Statistics,Mathematics, Econometrics or similar discipline with at least 8-12 years’experience on data science/AI projects. Deep understanding of LLM families (GPT, Llama,Claude, Mistral) and their reasoning capabilities. S trong experience with Databricks- DLT,Delta Lake concepts, UC governance. Solid understanding of streamingtechnologies (e.g. ...

technical challenges unique to your sector and have delivered AI solutions within it. Typical projects include: Building AI agents and autonomous workflows Developing LLM-powered applications and copilots Designing enterprise RAG and knowledge retrieval platforms Production deployment of Generative AI solutions AI integration into enterprise products and business platforms Scaling ...

date on market trends, new opportunities, and the changing landscape of AI technologies Requirements Experience AI Orchestration & Development: Expert‐level experience building complex LLM‐powered systems and multi‐agent workflows using frameworks like LangGraph, LangChain, AutoGen, or ADK Artificial Intelligence & Machine Learning: Deep practical understanding of machine learning algorithms, natural ...

such as TensorFlow, PyTorch, and scikit-learn. Experience with modern AI frameworks such as FastAPI, LangChain, LlamaIndex, or similar technologies. Hands-on experience with LLM APIs, foundation models, embeddings, vector databases, RAG architectures, and agentic AI systems. Experience working with large-scale datasets using SQL, distributed processing platforms such ...

essential: - Strong general-purpose programming (most commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure, and RAG pipeline construction - LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns) - Prompt engineering and systematic evaluation/guardrail tooling (hallucination detection, safety testing ...

application programming interfaces, data pipelines, inference pipelines, and platform capabilities that support real‐time and batch AI workloads at enterprise scale Implement advanced large language model applications using retrieval‐augmented generation, prompt orchestration, evaluation frameworks, model optimisation, agentic workflows, and tool integration Make key technical decisions while remaining accountable ...

recommendations on viability, effort and expected value. Build and maintain a living library of production‐ready patterns covering areas such as RAG, agentic AI, LLM integration, prompt engineering and responsible AI guardrails. Facilitate cross‐domain engineering forums, design reviews, and communities of practice, creating the conditions for AI engineering knowledge ...

infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes) to operate, support, and secure mission-critical applications Previous experience deploying and managing LLM-model based applications and agents Exposure to vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector Buckets Exposure to cloud-native microservices ...

infrastructure-as-code tools, and containerization/orchestration tools (Docker, Kubernetes) to operate, support, and secure mission-critical applications Previous experience deploying and managing LLM-model based applications and agents Exposure to vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector Buckets Exposure to cloud-native microservices ...

such as PyTorch, TensorFlow, and Hugging Face. Experience taking AI proof‐of‐concepts from idea to production. Strong knowledge of deep learning, NLP, and LLM architectures and experience in fine‐tuning LLMs or training domain‐specific models, RAG, embeddings, and vector databases. Familiarity with agentic AI concepts and orchestration frameworks. ...

Design, build, and deploy AI‐powered applications (chatbots, copilots, document intelligence, decision‐support tools) for insurance use cases; implement Retrieval‐Augmented Generation patterns; build LLM‐based workflows and agents. Cloud & Platform Engineering (GCP): Deploy solutions on GCP leveraging Vertex AI, BigQuery, Cloud Run, secure API integrations; build scalable, resilient, compliant ...

Understanding of Retrieval-Augmented Generation (RAG) systems and AI-assisted application architectures. Familiarity with embeddings, semantic search, vector databases, and context window limitations in LLM systems. Exposure to agent-based architectures and emerging protocols such as the Model Context Protocol (MCP). Experience with MLOps tools and platforms (e.g., MLflow ...

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‐on role … enterprise grade advanced ai solutions using agentic, generative and classical AI/ML using at least one cloud vendor. Practical experience in the Agentic, LLM and Generative AI space. Well versed in coding using python Solid foundation in architecting and operationalizing LLM driven application architecture patterns. Professional working experience ...

Generative AI use cases. Design and build APIs and microservices that integrate AI capabilities into internal and external workflows. Develop, fine‐tune, and deploy LLM‐based applications (e.g., chatbots, assistants, knowledge extraction tools). Architect scalable AI infrastructure on cloud platforms (AWS, GCP, or Azure), leveraging containerisation and IaC. Implement ...

deployment.Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose.Infrastructure as Code (IaC): Exposure to tools like Terraform.Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar.CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins.Database ManagementVector Databases: Experience with ...