51 to 75 of 569 OpenAI Jobs in England

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 ...

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 ...

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 ...

onMicrosoft Azure, including serverless services, Functions, Logic Apps, API Management, and integration services. Knowledge of the widerMicrosoft AI platform, including Azure AI Foundry, Azure OpenAI, Cognitive Services, and AI governance best practices. Ability to design and implement secure, scalable, cloud-native solutions with a focus on identity, automation, and business ...

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 ...

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 ...

notably encompassing:Compute & Services: Java, .NET, Python, Cloud-native microservicesData & Analytics: Databricks, Microsoft Fabric, AWS Glue, Athena, Event Streaming (e.g., Kafka)AI & ML: Azure OpenAI, LLM Integration patterns, Vector DatabasesIntegration & Storage: Azure Data Factory (ADF), SQL Server, Enterprise relational platformsInfrastructure: Azure, AWS, and Hybrid Cloud networksCandidates are not expected ...

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 ...

foundations Strong Python skills, familiarity with Java/Kotlin, and solid API design experience Hands-on experience with LangChain, LangGraph, and LLM APIs (OpenAI, Anthropic, etc.) Skilled in prompt engineering and orchestrating AI agents/chatbots Familiarity with cloud AI services (Azure preferred), Docker/Kubernetes, CI/ ...

software engineering best practices. Tech Stack TypeScript, React, Next.js, Node.js, Go, Python, AWS, Lambda, PostgreSQL, SQL, Supabase, API Development, AI, Machine Learning, LLMs, OpenAI, Claude, MCP, RAG, Serverless, CI/CD, Infrastructure as Code What They’re Looking For Strong commercial experience as a Software Engineer, Full Stack Engineer, Full ...

equivalent; Experience with vector databases and retrieval-augmented generation (RAG) patterns; Experience deploying and scaling LLM-powered applications using APIs such as OpenAI or Anthropic, or open-source models; Strong Python skills; Excellent communication skills and ability to explain complex technical concepts to diverse audiences; Proficiency in English, both written ...

Code and software engineering best practices. Tech StackTypeScript, React, Next.js, Node.js, Go, Python, AWS, Lambda, PostgreSQL, SQL, Supabase, API Development, AI, Machine Learning, LLMs, OpenAI, Claude, MCP, RAG, Serverless, CI/CD, Infrastructure as CodeWhat They're Looking ForStrong commercial experience as a Software Engineer, Full Stack Engineer, Full Stack ...

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 ...

experience with AI, machine learning or generative AI technologies Experience working with Azure and cloud-based technologies Knowledge of technologies such as Azure OpenAI, Microsoft Foundry, Semantic Kernel, RAG or vector databases Understanding of AI agents, LLMs and modern AI development approaches Strong software engineering fundamentals, including source control, testing ...