51 to 75 of 604 OpenAI Jobs in England

into scaled delivery. High-Velocity Solution Engineering Architect, build and rapidly iterate AI agents, prototypes and proofs of value using Azure AI Foundry, Azure OpenAI, Microsoft Copilot Studio and Power Platform. Own solutions from initial concept through technical design, build, demonstration, evaluation and transition into production delivery. Apply high-velocity ...

quality, security and maintainability. Building AI functionality into a product or application, for example by integrating LLM‐based features using Azure AI Foundry, Azure OpenAI or similar platforms, with exposure to techniques and frameworks such as retrieval‐augmented generation (RAG), Model Context Protocol (MCP) vector databases and embeddings, semantic search ...

Palantir. Hands‐On Modern AI & Agentic Builder Experience: Direct hands‐on experience building, prototyping, or solutioning with frontier LLMs and modern AI tools—including OpenAI, Claude, LangChain/LangGraph, Cursor, or multi‐agent orchestration frameworks. Agent Interoperability & Open Standards: Experience with Retrieval‐Augmented Generation (RAG), prompt engineering, background/conversational ...

large metadata-driven systems wherebehaviouris configured rather than coded. Experience with agent frameworks such as Semantic Kernel, Microsoft Agent Framework,LangGraph,AutoGen,PydanticAI, the OpenAI Agents SDK orCrewAI. Experience building reusable AI platforms, MCP ecosystems or shared engineering capabilities used across multiple products and teams. Containerisedplatforms and infrastructure automation: Docker ...

plan creation, coding agents, automated code review, gated workflows and audit evidence. Exposure to platforms and tools such as Microsoft Foundry, Azure AI, Azure OpenAI, GitHub Enterprise, GitHub Actions, Claude, CodeRabbit, Microsoft Entra ID, Intune, Purview, Azure Monitor or similar enterprise tooling. Experience working with fintechs, hyperscalers, technology partners, analyst ...

cloud-native architecture Demonstrated leadership of complex, multi-region enterprise programs Nice to Have Experience with agentic commerce protocols: MCP, A2A, ACP (OpenAI), UCP (Google) Hyperscaler agentic platforms: Google Vertex AI/Agent Dev Kit, Azure AI Foundry, AWS Bedrock Agents GEO/AEO content architecture: structuring product data ...

prompt engineering, fine‐tuning, and integrating LLMs into applications. Maintain up‐to‐date knowledge of different LLM providers and their strengths and limitations (e.g., OpenAI’s GPT and O families, Anthropic’s Claude family, Google’s Gemini, xAI’s Grok, as well as open‐source LLMs like LLama, DeepSeek ...

CrewAI, or the Anthropic Agent SDK, including tool use, MCP servers, and multi-agent orchestration.* LLM Experience: Practical, production experience with LLM providers (Anthropic, OpenAI, Mistral, Llama) and an informed view on model selection trade-offs.* Cloud Platforms: Strong proficiency in AWS or Azure or GCP, including designing for scale ...

CrewAI, or the Anthropic Agent SDK, including tool use, MCP servers, and multi-agent orchestration.* LLM Experience: Practical, production experience with LLM providers (Anthropic, OpenAI, Mistral, Llama) and an informed view on model selection trade-offs.* Cloud Platforms: Strong proficiency in AWS or Azure or GCP, including designing for scale ...

plan creation, coding agents, automated code review, gated workflows and audit evidence.* Exposure to platforms and tools such as Microsoft Foundry, Azure AI, Azure OpenAI, GitHub Enterprise, GitHub Actions, Claude, CodeRabbit, Microsoft Entra ID, Intune, Purview, Azure Monitor or similar enterprise tooling.* Experience working with fintechs, hyperscalers, technology partners, analyst ...

CrewAI, or the Anthropic Agent SDK, including tool use, MCP servers, and multi-agent orchestration. LLM Experience: Practical, production experience with LLM providers (Anthropic, OpenAI, Mistral, Llama) and an informed view on model selection trade-offs. Cloud Platforms: Strong proficiency in AWS or Azure or GCP, including designing for scale ...

Your mission You train the technical teams of strategic cloud partners to build, integrate and support AI applications with confidence. Your audience is solution architects, field engineers, developers, technical consultants and sales engineering teams. You ...

tracing for GenAI/Agentic AI applications Azure AI & Cloud Services: Hands‐on experience building and deploying AI solutions on Azure, including Azure OpenAI, Azure AI Search, Azure AI Foundry, Cosmos DB, Redis, Azure Monitor/Application Insights, Managed Identity and Key Vault. #J-18808-Ljbffr ...

governance Design Authority processes Technical assurance User-centred design principles Government Digital Service (GDS) standards Additional Technologies (useful but not essential): Power Platform Azure OpenAI OpenAI Services Kubernetes OpenShift MongoDB PostgreSQL SQL Server Neo4j Elastic Event Hub Service Bus Kafka Confluent GraphQL FinOps Platform Engineering AI/ML Operations (MLOps ...

Experience Required 15+ years in software/solution architecture; 7+ years in Azure cloud; 5+ years in AI/ML. Hands‐on with Azure OpenAI, Azure AI Foundry, Document Intelligence, Data Factory, ML Service, Databricks, Key Vault, Blob Storage, Synapse Analytics, DevOps. Strong LLM, embeddings, RAG, prompt engineering knowledge. Expertise ...

looking for:Commercial or substantial project experience in Python or a similar backend languageHands-on exposure to Gen AI tools (LangGraph, CrewAI, Hugging Face, OpenAI APIs, etc.), through work, side projects or studyA solid grasp of ML fundamentals and an understanding of LLM challenges such as prompt engineering, latency ...

Python, SQL, and modern data science toolsets. Machine Learning and Predictive Analytics. Generative AI, LLMs, RAG, and Agentic AI frameworks. Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Databricks, or equivalent cloud platforms. Data visualisation and storytelling tools such as Power BI. MLOps and model lifecycle management. Preferred Qualifications Experience ...

tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience ...

tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience ...

tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience ...

Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Data Science, or a related technology discipline Minimum 2:1 degree classification (or equivalent) Desirable Azure OpenAI, AWS Bedrock and Google Gemini experience MLOps, Data Engineering or Platform Engineering experience Experience leading technical teams Knowledge of Agentic AI, AI Agents and emerging ...

Computer Science, Software Engineering, Information Technology, Artificial Intelligence, Data Science, or a related technology discipline Minimum 2:1 degree classification (or equivalent) Desirable Azure OpenAI, AWS Bedrock and Google Gemini experience MLOps, Data Engineering or Platform Engineering experience Experience leading technical teams Knowledge of Agentic AI, AI Agents and emerging ...

Experienced in cloud development (AWS), with a focus on application design and development. Experience with AI/ML model integration, Prompt engineering, LLM APIs (OpenAI, Bedrock) and Generative AI Advanced in Java and Python Strong experience with cloud platforms like AWS, Azure, or Google Cloud Platform. Experience building RESTful APIs ...

machine learning, or generative AI applications. Strong Python engineering skills and experience developing production-grade software. Hands-on experience with technologies such as Azure OpenAI, Azure AI Services, and Azure Machine Learning. Knowledge of modern AI frameworks including LangChain, Hugging Face, PyTorch, or similar technologies. Deep understanding of LLMs ...

Proven experience designing and deploying production-grade AI/ML or LLM systems . Expertise with AWS or Azure AI services (e.g., Bedrock, SageMaker, OpenAI, Cognitive Services). Strong Python programming skills with hands‐on experience using frameworks like Autogen and LangGraph . Solid grounding in MLOps , containerisation (Docker, Kubernetes ...