51 to 75 of 637 OpenAI Jobs in the UK

what works, what scales, and what's next: Experimenting with Generative AI frameworks and tools such as LangChain, LlamaIndex, Hugging Face, and APIs from OpenAI and Anthropic. Building retrieval-augmented generation (RAG) prototypes with vector stores and knowledge graphs. Developing and testing agentic architectures through our own Genie Platform – enabling ...

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 ...

regulated industries).Technical ExpertiseDeep, hands-on experience delivering enterprise AI solutions on Azure or AWS, with named, relevant capability, for example:Azure: Azure OpenAI Service, Azure AI Foundry, Azure AI Search (vector/RAG), Azure Machine Learning, Azure AI Agent Service, Semantic Kernel, Prompt Flow and Content Safety.AWS: Amazon Bedrock ...

ingestion, cleansing, transformation, embedding, indexing and retrieval pipeline design.Integration across cloud AI services (e.g. GCP + Vertex AI, Vercel AI Cloud, AWS Bedrock, Azure OpenAI) within a broader MACH and API-led landscape; with preference for GCP and Vercel, or suitable equivalents on AWS and Azure, and the capability ...

regulated industries).Technical ExpertiseDeep, hands-on experience delivering enterprise AI solutions on Azure or AWS, with named, relevant capability, for example: Azure: Azure OpenAI Service, Azure AI Foundry, Azure AI Search (vector/RAG), Azure Machine Learning, Azure AI Agent Service, Semantic Kernel, Prompt Flow and Content Safety. AWS: Amazon ...

Nice to have skills Asset management or financial services domain knowledge, particularly the investment process, distribution, or front‐office workflows. Azure AI Foundry, Azure OpenAI, Anthropic Claude, model gateways, inference routing, or agent orchestration platforms. Snowflake, Microsoft Fabric/OneLake, or comparable governed enterprise data platforms. TypeScript or a second ...

Infrastructure. About the Role All teams are deeply collaborative, work on mission-critical services, and are responsible for building distributed, scalable infrastructure to bring OpenAI’s technology to the world through products like ChatGPT and the OpenAI API. You’ll work closely with stakeholders to understand infrastructure, data and compute … Distributed Systems: Owning and building important, highly scalable, available, performant, and reliable distributed systems (and their building blocks) to power the entire stack at OpenAI Systems Engineering: Work across layers of the stack—debugging system bottlenecks, evolving core infrastructure, and solving novel problems in performance and scalability. Reliability Engineering: Build ...

using LLMs, Generative AI and Agentic AI Hands-on experience with RAG, tool calling, orchestration and memory patterns Strong Azure AI experience, including Azure OpenAI, Azure AI Search, Azure AI Foundry and Azure Machine Learning Experience implementing AI monitoring, observability, telemetry and operational metrics Strong Python development and REST ...

using LLMs, Generative AI and Agentic AI Hands-on experience with RAG, tool calling, orchestration and memory patterns Strong Azure AI experience, including Azure OpenAI, Azure AI Search, Azure AI Foundry and Azure Machine Learning Experience implementing AI monitoring, observability, telemetry and operational metrics Strong Python development and REST ...

solutions. Experience with frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen or similar. Experience with Microsoft Azure, including Azure AI Foundry, Azure OpenAI Service and Azure AI Search. Understanding of LLM evaluation, AI safety, observability and production deployment. Why Join? Build cutting-edge AI products for a global SaaS customer ...

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 ...

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 ...

ideally have strong experience across a combination of: Generative AI, LLMs and Agentic AI Building AI agents/agentic workflows AWS Bedrock, Azure OpenAI or comparable enterprise LLM platforms Agent frameworks such as LangGraph, LangChain, Semantic Kernel, AutoGen, CrewAI or similar RAG, tool/function calling and grounding LLMs against ...

databases and technologies such as Pinecone, Weaviate, FAISS, or Azure AI Search. Experience building and supporting Retrieval-Augmented Generation (RAG) solutions. Experience working with OpenAI and other modern AI platforms. Expertise in prompt engineering, prompt evaluation, and optimisation techniques. Experience developing real-time AI and audio-processing pipelines. Experience deploying ...

databases and technologies such as Pinecone, Weaviate, FAISS, or Azure AI Search. Experience building and supporting Retrieval-Augmented Generation (RAG) solutions. Experience working with OpenAI and other modern AI platforms. Expertise in prompt engineering, prompt evaluation, and optimisation techniques. Experience developing real-time AI and audio-processing pipelines. Experience deploying ...

/ML models to production systems in collaboration with engineering teams. Experience working with generative AI use cases, leveraging large language models (e.g., OpenAI GPT, Hugging Face Transformers) to solve real‐world problems such as text summarisation, chatbots, or content generation. Basic experience with cloud technologies (e.g., AWS, Azure ...

/ML models to production systems in collaboration with engineering teams. Experience working with generative AI use cases, leveraging large language models (e.g., OpenAI GPT, Hugging Face Transformers) to solve real-world problems such as text summarisation, chatbots, or content generation. Basic experience with cloud technologies (e.g., AWS, Azure ...

GitOps via Argo CD and Flux Cloud & Orchestration: AWS, Azure, Docker, Kubernetes AI Inference & Application Infrastructure: Frontier and open-weight models via Anthropic, Azure OpenAI, and Amazon Bedrock; model gateways and routing, retrieval and hybrid search, document ingestion, tool/function calling, Model Context Protocol (MCP), and agent orchestration ...

monitoring), and seamless integration with enterprise systems such as Workday. Extensive experience designing and implementing generative AI use cases, leveraging large language models (e.g., OpenAI GPT, Hugging Face Transformers) to deliver scalable solutions for tasks such as conversational AI, document summarisation, or content creation. Proven experience with containerisation and orchestration ...

monitoring), and seamless integration with enterprise systems such as Workday. Extensive experience designing and implementing generative AI use cases, leveraging large language models (e.g., OpenAI GPT, Hugging Face Transformers) to deliver scalable solutions for tasks such as conversational AI, document summarisation, or content creation. Proven experience with containerisation and orchestration ...

single product company can: breadth across every industry, every enterprise technology stack, and every level oforganizationalcomplexity combined with vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams, structured AI certification pathways, and a clear development track toward agentic and forward-deployed engineering. Key Responsibilities Use AI coding assistants ...

knowledge graphs, tool use, memory, and retrieval systemsAI evaluation: offline and online evaluations, test datasets, regression testing, observability, and human reviewLanguage models: Gemini, OpenAI, Anthropic, Llama, Mistral, or similarBackend engineering: Python or Java, REST APIs, Kafka, microservices, and distributed systemsData systems: SQL, PostgreSQL, BigQuery, vector search, and data pipelinesCloud ...

etc. Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock,AWS S3, AWS Sagemaker, Azure AI search, Azure OpenAI, Azure blob storage etc. Master's degree or above in Machine learning/data science, computer science, applied mathematics or otherwise research-based fieldWhat Would Make ...

production environments. Demonstrable experience successfully designing and launching multiple enterprise GenAI implementations beyond proof-of-concept stage. Strong expertise in LLM ecosystems including OpenAI, Anthropic, Gemini, and related model platforms. Hands-on experience with RAG architectures, Agentic AI frameworks, and orchestration tools such as LangChain, LangGraph, AutoGen, and CrewAI. Proven ...