26 to 50 of 350 OpenAI Jobs in the UK

related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers). Exposure to deep learning techniques (e.g., CNNs, RNNs, Transformers) applied to real-world problems. Participation in knowledge-sharing activities such ...

open to different backgrounds, but you'll likely have experience with many of the following: Building applications using modern Large Language Models (OpenAI, Anthropic, Gemini or open-source alternatives). Python and modern software engineering practices. AI APIs, SDKs and orchestration frameworks such as LangChain, LangGraph, LlamaIndex or similar. Retrieval ...

related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers). Exposure to deep learning techniques (e.g., CNNs, RNNs, Transformers) applied to real-world problems. Participation in knowledge-sharing activities such ...

Lead the design, development and deployment of AI-integrated solutions for client engagements using modern 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 ...

Search and MongoDB, including design of indexing strategies, hybrid search configurations, and retrieval evaluation. Work within our Azure cloud environment, integrating with Azure OpenAI, Azure services, and our broader data platform. Collaborate with product managers, data scientists, engineers, and other stakeholders to scope and deliver AI features that address real … enabled software systems. Strong proficiency in Python, including building and shipping production backend services. Hands‐on experience building applications with LLMs such as Azure OpenAI, OpenAI, Anthropic, or similar. Experience with FastAPI or comparable Python web frameworks. Production experience with Docker and Kubernetes, including deployment and management on AKS. Strong ...

Governance Responsible AI AI Security Guardrails Model Context Protocol (MCP) Function Calling Tool Use AI Orchestration AI Platforms Experience with one or more: OpenAI Azure OpenAI Anthropic Claude Google Gemini AWS Bedrock Hugging Face LangChain LangGraph Semantic Kernel AutoGen CrewAI LlamaIndex Pinecone Weaviate Milvus ChromaDB Cloud Platforms Commercial experience with ...

product company can: breadth across every industry, every enterprise technology stack, and every level of organizational complexity — 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 ...

with MCP, agent platforms, tool gateways, AI gateways, model routers, or multi-provider LLM infrastructure. Experience with LangGraph, LangChain, LlamaIndex, CrewAI, AutoGen, Semantic Kernel, OpenAI Assistants/Responses APIs, Anthropic Claude, Gemini, or comparable frameworks and APIs. Experience building enterprise AI, governance, security, compliance, or regulated-industry systems. Experience with ...

related field. Familiarity with Workday APIs, data structures, and integration patterns. Experience designing and implementing generative AI solutions using large language models (e.g., OpenAI GPT, Hugging Face Transformers). Expertise in applying deep learning techniques (e.g., CNNs, RNNs, Transformers) to real-world problems. Active participation in knowledge-sharing activities such ...

/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 ...

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 ...

production Gen AI applications. What we need from you Deep expertise in Large Language Models (LLMs), including commercial and open‐source models (e.g., OpenAI, Gemini, Claude, Llama), and selecting the right model for use case, cost, and performance constraints. Hands‐on experience building Gen AI applications using modern frameworks such ...

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 ...

customer engagement technologies, and contact center transformation initiatives.* Strong executive communication, stakeholder management, and presentation skills.## **Preferred Qualifications*** Experience with AI platforms such as OpenAI, Google Vertex AI, Amazon Bedrock, Microsoft Azure AI, Anthropic, or similar ecosystems.* Familiarity with vector databases, knowledge management systems, AI orchestration frameworks, and MLOps practices. ...

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 ...

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 ...

high-quality, maintainable solutions Demonstrate proficiency in Java and/or Python programming languages Deploy production systems to GenAI platforms such as Google VertexAI, OpenAI, AWS Bedrock, or LangChain Utilize cloud technologies (AWS/Azure/GCP), distributed systems, CI/CD tools, infrastructure-as-code tools, and containerization/ ...

their capabilities, limitations and failure modes Practical familiarity with RAG architectures, vector databases and prompt engineering Exposure to agent frameworks (LangGraph, Claude Agent SDK, OpenAI SDK) or equivalent custom implementations An interest in LLM evaluation, debugging and observability Cloud platform experience (AWS, GCP or Azure) is a plus at junior ...

productionisation. Familiarity with Workday APIs, data structures, and integration patterns is an advantage but not required. Exposure to generative AI concepts or tools (e.g., OpenAI GPT, Hugging Face Transformers) through coursework or self-directed learning. Basic awareness of deep learning concepts (CNNs, RNNs, Transformers) gained through study or personal exploration. ...

build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital ...

alignment to delivery, regulatory, and audit requirements. Agentic and AI-enabled architecture: Lead designs that incorporate GenAI and LLM platforms for example Claude, OpenAI, Gemini or equivalent alongside agent orchestration and tool use and design scalable AI and ML solutions aligned to business goals, integrating them into existing enterprise landscapes ...

data and technology awareness Practical experience with: Agentic frameworks: LangGraph, LangChain, CrewAI, Agentforce or similar Foundation model providers: Claude Code/Codex/Gemini, OpenAI or AWS Bedrock Vector databases: Pinecone, Weaviate, LlamaIndex or pgvector Cloud platforms: AWS Bedrock, GCP Vertex AI or Azure AI Studio CI/ ...

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 ...