51 to 75 of 1,595 LLM Jobs in England

platform partnerships (e.g., Google, Anthropic), third‐party tooling, and outsourced delivery models Qualifications: Technological 15+ years of experience in Technology - Required Generative AI & LLM Engineering: Deep, hands‐on expertise in large language models including model selection, fine‐tuning, prompt engineering, retrieval‐augmented generation (RAG), vector database design, and evaluation methodologies. ...

strategic AI platform partnerships (e.g., Google, Anthropic), third-party tooling, and outsourced delivery models## **Qualifications:****15+ years of experience in Technology - Required:*** Generative AI & LLM Engineering: Deep, hands-on expertise in large language models including model selection, fine-tuning, prompt engineering, retrieval-augmented generation (RAG), vector database design, and evaluation ...

ReqID: FEQ427R340 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for the company customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise ...

agile environmentsBonus Points ForExperience with agentic frameworks (e.g., LangChain, LlamaIndex)Experience in deep learning frameworks and front-end developmentFamiliarity with Langfuse, Langsmith, or other LLM observability toolsUnderstanding of Model Context Protocol and bias/hallucination mitigation techniquesPrevious success in integrating GenAI solutions into enterprise-scale systemsWhy Join CapcoDeliver high-impact ...

working experience in a role such as Software Engineer, Application Developer, or related occupation. Preferred qualifications, capabilities, and skills Experience building on top of LLM APIs: agent frameworks, tool/function calling, retrieval, and writing evals to measure output quality. Prompt and context engineering as an applied discipline, including cost ...

enabled solutions. Cloud and modern data infrastructure exposure, plus experience in Financial Services or another regulated industry, is essential.Tech skills include Python, SQL, LLM development (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, FastAPI, and AWS, Azure, GCP or Databricks. CI/CD, MLOps and LLMOps ...

enabled solutions. Cloud and modern data infrastructure exposure, plus experience in Financial Services or another regulated industry, is essential. Tech skills include Python, SQL, LLM development (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, FastAPI, and AWS, Azure, GCP or Databricks. CI/CD, MLOps ...

enabled solutions. Cloud and modern data infrastructure exposure, plus experience in Financial Services or another regulated industry, is essential. Tech skills include Python, SQL, LLM development (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, FastAPI, and AWS, Azure, GCP or Databricks. CI/CD, MLOps ...

ideally in testing, automation, or developer productivity use cases.This may include experience with:AI application patternsRetrieval-Augmentation Generation (RAG)prompt engineeringtool callingagentic workflowsevaluation of LLM-based outputsFrameworks and orchestrationLangChainLangGraphCrewAIModels and platformsOpenAI and/or Azure OpenAIVector search and retrievalWeaviate or equivalent vector database technologyData and model supportselecting and preparing data ...

digital future of fintech transactions and ensuring a reliability of 99.9999% and beyond. The Work itself Build Agentic Solutions using world’s most advanced LLM models from Anthropic, OpenAI and others Build Deep Learning solutions using AI/ML Platforms for real time transactions at a scale of 100K+ ...

skills with multiple modern programming languages including Python, Golang, TypeScript and similar technologies in an AWS/Cloud environmentExperience in the use of GPT, LLM, RAG, Gen AI, Prompt Engineering related technologiesExperience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages ...

with multiple modern programming languages including Python, Golang, TypeScript and similar technologies in an AWS/Cloud environment. Experience in the use of GPT, LLM, RAG, Gen AI, Prompt Engineering related technologies Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming ...

ability to build production-grade systems. Strong proficiency in Python, plus experience with C/C++ or another systems language. Hands-on experience with LLM-based systems, including prompt design, retrieval, tool use, memory handling, and agent orchestration patterns. Experience building and maintaining RAG pipelines, agent frameworks, MCP servers ...

Nano/Pro/1.5) for multimodal reasoning; integrate via Vertex AI; grounding, structured output, function‐calling. Azure OpenAI/GPT‐4.x for enterprise LLM services; model selection, limits, rate management, content filters/AI safety. Amazon Q for developer and ops assistance across AWS stacks. Cursor, GitHub Copilot, Devin ...

such as Basel III, MiFID II, and the EU AI regulatory framework Experience designing and implementing Agentic AI solutions in regulated industries Knowledge of LLM applications for financial use cases such as document processing and chatbots Strong understanding of compliance-driven AI system design and transparency practices Solid grasp ...

software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required but is a strong plus. We welcome candidates from ...

software, SaaS platforms, or technically demanding application domains (scientific computing, real-time systems, large-scale data) Exposure to integrating machine learning, generative AI, or LLM-based components into application features Experience mentoring less experienced engineers Energy industry experience is not required but is a strong plus. We welcome candidates from ...

technically complex or scientifically demanding application domains (distributed systems, scientific computing, real-time systems, large-scale data) Experience integrating machine learning, generative AI, or LLM-based components into production systems Experience contributing to open-source projects, or integrating open-source components at scale. Energy industry experience is not required ...

Agile delivery approaches* Experience using AI-assisted development tools such as Claude, GitHub Copilot or Cursor* Experience building AI-enabled applications or integrating LLM capabilities* Understanding of RAG, prompt engineering and agent-based solutions* Strong analytical and problem-solving skills* Strong stakeholder engagement and communication skills.**Why should you apply ...

commitment to clean coding standards (SOLID/DRY), modular design, and comprehensive unit/integration testing. Generative AI Deep Dive: Hands-on experience with LLM training cycles, parameter-efficient fine-tuning (PEFT), and sophisticated prompt engineering. Inference Stack: Experience with high-performance inference servers (e.g., vLLM, TGI, or Triton ...

full-stack technologies. Integrate Azure AI services, including Azure OpenAI, Cognitive Services, Azure Machine Learning and AI Search, into production applications. Architect and build LLM-powered features, agentic workflows and Model Context Protocol (MCP) integrations to a production standard. Work directly with clients to understand requirements, shape solutions and translate ...

practice and our model provider partners to continuously improve our delivery playbook. Maintain cutting‐edge expertise - Stay ahead of the curve on LLM capabilities, agentic frameworks, evaluation methodologies, and the AI product development ecosystem. Potentially helping to define the learning path for others as the area grows Build strong relationships ...

Python development skills. Experience integrating and consuming REST APIs. Hands-on experience with Docker and Kubernetes. Knowledge of vector databases, embeddings, RAG architectures, and LLM orchestration frameworks. Experience with cloud technologies, networking, identity and access management, and security controls. Experience integrating AI solutions with Microsoft 365 technologies, collaboration platforms ...

platforms. Demonstrates experience of cloud platforms such as Azure and AWS, with experience supporting and maintaining cloud‐based infrastructure. Hands‐on experience working with LLM‐based solutions, including Retrieval‐Augmented Generation techniques and prompt engineering approaches. Hands‐on experience working with data processing frameworks and platforms, including batch and streaming ...

engineering domains. End-to-end exposure in model lifecycle development, including extensive experience training and deploying ML models in production environments. Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns. Experience in fine-tuning LLMs for domain-specific enterprise applications. Strong expertise in MLOps and LLMOps, ensuring scalable ...