26 to 50 of 261 OpenAI Jobs in the UK

with projects, tool‐use, code planning.Google Gemini (Nano/Pro/1.5) for multimodal reasoning; integrate via Vertex AI; grounding, structured output, function‐calling.Azure OpenAI/GPT‐4.x for enterprise LLM services; model selection, limits, rate management, content filters/AI safety.Amazon Q for developer and ops assistance across ...

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 AI agents ...

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 AI agents ...

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 ...

Cloud AI capabilities, customer engagement technologies, and contact center transformation initiatives.Strong executive communication, stakeholder management, and presentation skills.Preferred QualificationsExperience 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.Experience with ...

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 ...

Azure AI 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 hands-on experience with Azure ...

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 ...

environment, Automation & Orchestration solutionsPaaS: Web apps, SQL Database, No SQL DB’s, MicroServices (e.g. containers, Service Fabric)Knowledge of AI orchestration frameworks.Familiarity with Azure OpenAI, OpenAI SDK/models, and applying Cloud AI services to real-world use cases.Understanding of various project management frameworks, methodologies and principles e.g. Waterfall, Agile ...

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 ...

Looking ForEssentialArchitecture design experience and being able to articulate decisionsStrong software engineering experience, ideally within Microsoft Azure.Hands-on experience with Microsoft Foundry/Azure OpenAI/CoPilot Studio, or demonstrable experience with closely related Azure AI technologies.Experience working with generative AI, LLMs or AI agents.Experience developing integrations using APIs ...

Engineering, or a 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 ...

Engineering, or a 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 ...

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 ...

commodities, energy, trading, logistics, asset operations, market analytics, or commercial decision-support workflows.Hands-on familiarity with enterprise AI tools such as Claude, ChatGPT/OpenAI, Gemini, Microsoft 365 Copilot, Cursor, or GitHub Copilot.Exposure to Snowflake, vector databases, knowledge-base configuration, and cloud platforms such as AWS or Azure.Portfolio examples showing ...

/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 ...

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 You Stand ...

Senior DeveloperHas breadth of experience across different tech-stacks, such as JavaScript/TypeScript, Java, C#, or Python, amongst othersExperienced in RAG Weaviate, OpenAI, Agents, MCP, Langchain, Prompt Engineering, Browser-Use, and DjangoExperienced building AI Tools, Agents and Agentic workflows (LangGraph, CrwAI)Hands-on Product building experience that cuts across ...

experience in production Gen AI applicationsWhat we'll need from youDeep 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 constraintsHands‐on experience building Gen AI applications using modern frameworks such ...

designing multi-agent systems and agent orchestration patterns.Familiarity with LLM observability tools (LangSmith, Langfuse, Arize, or similar).Experience working with multiple model providers (Anthropic, OpenAI, open-weight models) or with fine-tuning.Hands-on experience with Terraform, Kubernetes, or infrastructure-as-code tooling.Experience with observability platforms like Datadog.Distributed or event-driven ...

creating agentic solutions and the design patterns typically used.Understanding of the key features and capabilities of cloud-based AI platforms (e.g. Azure AI/OpenAI, AWS Bedrock, GCP Vertex AI) and modern data platforms (Databricks, Snowflake).Knowledge of the considerations to take when deploying AI solution in a regulated environment.A ...

encompassing: Compute & Services: Java, .NET, Python, Cloud-native microservices Data & Analytics: Databricks, Microsoft Fabric, AWS Glue, Athena, Event Streaming (e.g., Kafka) AI & ML: Azure OpenAI, LLM Integration patterns, Vector Databases Integration & Storage: Azure Data Factory (ADF), SQL Server, Enterprise relational platforms Infrastructure: Azure, AWS, and Hybrid Cloud networks Candidates ...

with low-code/no-code platforms (e.g. n8n, Copilot Studio), MCP, LLM observability tools (e.g. Langfuse), or managed model APIs (Azure AI Foundry, OpenAI, Anthropic).Modern development practices. Familiarity with any of: Docker, Terraform, CI/CD pipelines, Git.Agent orchestration frameworks. Experience with LangChain, Semantic Kernel, AutoGen or similar ...

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 ...