76 to 100 of 369 OpenAI Jobs in the UK

cross-functional team to deliver something secure and genuinely usable at scale. What you'll be doing • Designing and developing GenAI applications using OpenAI/Azure OpenAI or equivalent LLM platforms • Building multi-agent solutions with agent-orchestration frameworks such as LangGraph • Creating Retrieval-Augmented Generation (RAG) pipelines over enterprise … retrieval quality, latency and cost for live production workloads What we're looking for • Strong Python and backend development experience • Hands-on experience with OpenAI/Azure OpenAI, prompt engineering, RAG, embeddings and vector search • Proven experience building agentic AI with LangGraph or similar (LangChain, Semantic Kernel, AutoGen, CrewAI) • Experience ...

preferred) with at least 3 years' designing distributed, event-driven systems in AWS Proven production experience integrating or fine-tuning LLM/GenAI solutions (OpenAI, Bedrock, or similar) Deep knowledge of Jira data model, webhooks, and REST/GraphQL APIs Strong grasp of security for SaaS integrations: OAuth, secret rotation ...

assistants Workflow automation Vector databases and semantic search AI evaluation and monitoring Real Time user interactions Technical Environment Next.js Python Node.js SQL/NoSQL OpenAI, Anthropic and open-source LLMs DevOps - Docker/Kubernetes AWS, Azure or GCP Compensation Compensation is intentionally flexible and assessed based on experience, ownership ...

Excellent stakeholder engagement skills across both technical and non-technical teams. You'll likely have experience with: Agentic AI Generative AI Large Language Models (OpenAI, Anthropic, Gemini, Llama or similar) Retrieval Augmented Generation (RAG) AI architecture and enterprise integration MLOps and production deployment Responsible AI and model governance Enterprise data ...

cloud platforms, enterprise integration, security and identity management. Excellent stakeholder engagement and communication skills. Desirable Experience Financial services or other highly regulated sectors. Azure OpenAI and enterprise GenAI platforms. Semantic search, vector databases and knowledge architecture. Microsoft Graph, SharePoint and collaboration platform integrations. Knowledge of AI governance, GDPR ...

Model Context Protocol (MCP) and AI integration patterns Experience with vector databases such as Pinecone, Weaviate, FAISS, or Azure AI Search Experience working with OpenAI and other leading foundation models Knowledge of real-time AI pipelines, including speech-to-text and streaming AI applications Experience with technologies such as Pipecat ...

patterns Exposure to large language model serving, agentic patterns (tool/function calling, Model Context Protocol), or platforms such as Bedrock or Azure OpenAI Experience with Databricks, MongoDB, or large-scale extract, transform, and load/data integration workflows Knowledge of data governance, lineage, and entitlements concepts in an enterprise ...

data services with exposure to AI systems (e.g., AWS DataZone, Bedrock, Redshift, Glue ) and/or Azure data services (e.g., Azure OpenSearch, Azure OpenAI, Fabric, Purview, Data Factory, Synapse ) Proficiency with Python for data processing and pipeline development. Experience in building scalable and resilient data platforms in the public cloud. ...

across technical and non-technical audiences. •Experience working within highly regulated or public sector environments is advantageous. •Understanding of AI-assisted software development, Azure OpenAI or other LLM-based services is desirable. •Knowledge of responsible AI principles and governance considerations is desirable. #LI-JW1 Together, as owners, let's turn ...

applications using React, Next.js, Tailwind CSS, and ShadCN UI. Strong knowledge of REST APIs, GraphQL, API integrations, authentication, and serverless architectures. Experience integrating OpenAI, Azure OpenAI, Copilot Studio, LangChain, and AI Agent frameworks. Good understanding of RAG, vector databases, and conversational AI solutions. Hands-on experience with cloud deployment using … through AI-assisted tools and reusable component frameworks. Design and develop responsive user interfaces, APIs, and cloud-native application architectures. Integrate AI capabilities using OpenAI, Azure OpenAI, Copilot Studio, and AI agent frameworks . Collaborate with business stakeholders, architects, UX designers, and development teams to deliver solutions. Lead requirements gathering ...

solutions in a regulated environment. Broad solution architecture expertise across cloud, integration, APIs, security, identity and data flows. Experience with Azure AI, Azure OpenAI, Microsoft Copilot, Power Platform or comparable platforms. Understanding of responsible AI, guardrails, explainability, governance and data privacy. Ability to lead complex solutions from requirements through ...

Experience with any of the following would be advantageous: S&P Xpressfeed Snowflake Bloomberg MSCI Barra Databricks Quantitative equity research platforms Large Language Models (OpenAI, Claude) Additional Information Initial contract opportunity Excellent day rate Hybrid working in London Permanent opportunities may also be considered for candidates able to start within ...

engineers who have already begun applying AI capabilities within enterprise data platforms. This could include experience with technologies such as: Azure AI Foundry Azure OpenAI Microsoft Copilot Large Language Models (LLMs) AI-powered analytics Intelligent automation Machine Learning services You don't need to be an AI specialist ...

coaching capability Experience with some of the following technologies or ecosystems: Amazon Bedrock and SageMaker Claude/Anthropic Azure AI Foundry or Azure OpenAI Databricks Vector databases and RAG architectures Agentic AI orchestration frameworks and MCP servers Model and data lifecycle management Desirable Experience Experience working within public sector ...

modern Microsoft-focused AI ecosystem including: Microsoft Foundry/Azure AI Foundry (mandatory experience) Microsoft Copilot Studio (mandatory experience) Azure AI Services Azure OpenAI Service Microsoft Agent Framework Semantic Kernel Power Platform Enterprise Data Platforms Azure Machine Learning Retrieval-Augmented Generation (RAG) Large Language Models (LLMs) Agentic AI architectures LangChain ...

. Exposure to supporting the deployment of AI/ML models, working alongside engineering colleagues. Some exposure to generative AI concepts and tools (e.g., OpenAI GPT, Hugging Face Transformers), gained through coursework, internships, or personal projects. Basic awareness of cloud technologies (AWS, Azure, or GCP). Some experience creating visualisations ...

tool-using agents (vector retrieval, function calling, secure tool execution). Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude). Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions. Strong analytical ...

with the latest techniques in natural language processing, including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI Hands-on experience working with Distributed Spark based systems. Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical ...

table formats and catalog services such as Apache Iceberg Experience with LLM orchestration frameworks and model serving infrastructure or managed endpoints (AWS Bedrock, Azure OpenAI) Familiarity with emerging technologies in data engineering Ability to drive innovation and continuous improvement Passion for mentoring and developing others Employer Description JPMorganChase ...

Management (APIM) including the ability to design, deploy, and maintain scalable APIs. Knowledge and/or experience of Generative AI technologies and tooling e.g. OpenAI or other LLMs,PromptFlow,Langchain Understanding of thebenefits and pitfalls of GenAIimplementation Understandingof Viya Software Development Life Cycle You are welcome here. ...

human review, and the communication skills to explain that reasoning. Preferred Qualifications Experience with agent frameworks and protocols such as MCP, A2A, Anthropic or OpenAI APIs, Bedrock, Vertex, orLangGraph. Experience building developer platforms, orchestration systems, or SDLC tooling, including Jira, GitHub, or ServiceNow integration. Knowledge-engineering experience: retrieval systems, embeddings ...

engineers and shaping the company's internal AI governance strategy. Bonus points Experience with specific LLM evaluation and safety frameworks (e.g., Inspect AI, Ragas, OpenAI Evals, NeMo Guardrails). Django experience and strong backend engineering patterns (security, performance, maintainability). Experience with Datadog for complex observability, tracing, and monitoring ...

Python, R, PySpark Experience in one or more of the following Agentic & Gen AI Platforms: such as Microsoft Copilot Studio, Adept AI, UiPath, OpenAI GPT-5 Agents, Orby AI, and Beam AI. Eligibility: Due to security clearance requirements, there is a strong preference for candidates who have resided ...

using tools. Familiarity with agentic design patterns (ReAct, planning, reflection, human‐in‐the‐loop) and agent frameworks such as LangGraph, CrewAI, MAF, OpenAI Agents SDK, and Google’s Agent Development Kit (ADK). Experience building agentic workflows with memory, state management, and reliable multi‐step task execution. Model Context Protocol … Interoperability & integration: MCP, function/tool calling, structured outputs, API integration, event‐driven and orchestration patterns Cloud AI platforms & model hosting: Amazon Bedrock, Azure OpenAI/AI Foundry, Google Vertex AI, Hugging Face Vector databases & retrieval: Pinecone, Weaviate, Chroma, pgvector, FAISS; embeddings, semantic and hybrid search, reranking MLOps/LLMOps ...

governance from day one, while collecting requirements, and managing technical delivery for agents across Azure and AWS, M365 Copilot/Copilot Studio, , leveraging leading OpenAI and Anthropic LLMs with privacy and controls built in. To be successful as a GenAI Business Analyst, you should have: Ability to translate business problems ...