26 to 50 of 596 OpenAI Jobs in the UK

RequirementsProficiency in at least one programming language. I.e Python, C#, JavaScript, Kotlin, Java, Go.. Experience with Gen AI tools (e.g LangGraph, CrewAI, Hugging Face, OpenAI APIs etc)Experience in building and optimising systems for performance, scalability, and reliability Understanding of ML fundamentals (training, evaluation, deployment) and LLM-specific challenges (prompt ...

genuinely used, rather than pilots. Strong practical experience with LLM and agent frameworks such as Microsoft Copilot Studio, Azure AI Foundry, Azure OpenAI, Semantic Kernel, LangChain, LangGraph, AutoGen or CrewAI, and with core agent patterns including tool calling, orchestration, memory, multi agent workflows and retrieval augmented generation. Experience with workflow ...

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 ...

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 ...

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 ...

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 ...

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 ...

Researcher, Robustness & Safety Training | OpenAI Careers Researcher, Robustness & Safety Training Safety Systems - San Francisco and London, UK About the Team The Safety Systems team is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society … forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transparency. The Model Safety Research team aims to fundamentally advance our capabilities for precisely implementing robust, safe behavior in AI models, and to leverage these advances ...

Agile delivery practices. Preferred Skills Experience with LLM integration, RAG, AI orchestration, or Agentic AI frameworks. Exposure to AI platforms such as Azure OpenAI, OpenAI, LangChain, LangGraph, or Semantic Kernel. Candidate Profile Strong engineering and problem-solving skills. Product engineering mindset with a focus on quality and scalability. Comfortable working ...

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 ...

JavaScriptTypeScript C PowerShell Experience building AIassisted developer workflows agents or copilots Strong communication skills with both technical and nontechnical stakeholders Desirable Experience Azure AI OpenAI APIs or Anthropic APIs CICD DevOps and enterprise automation platforms RAG architectures vector databases or knowledge systems Experience working in regulated or largescale enterprise environments ...

proficiency in at least one of the following: Python, JavaScript/TypeScript, C#, or advanced PowerShell. Desirable Skills Hands-on experience with Azure AI, OpenAI APIs, or Anthropic APIs. Solid understanding of CI/CD, DevOps, and enterprise automation platforms. Familiarity with RAG (Retrieval-Augmented Generation) architectures, vector databases ...

diagnose and fix failures in agent-generated code and workflowsBuild frameworks for tool-calling, multi-step planning, orchestration, and agent routingIntegrate with LLM providers (OpenAI, Anthropic, Vertex AI, open-source models) and support multi-model usageDevelop backend services and APIs to support AI-driven applications and workflowsBuild and run experiments ...

applied experienceExperienced 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 AIAdvanced in Java and PythonStrong experience with cloud platforms like AWS, Azure, or Google Cloud Platform. Experience building RESTful APIs and working ...

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 ...

governance considerations specific to AI agents (prompt injection risks, access scoping, audit logging). Experience integrating with LLM provider APIs (e.g., Anthropic Claude API, OpenAI API) including streaming responses and tool-result handling. Qualifications & Experience Bachelor's degree in Computer Science or related field, or equivalent demonstrable experience. ...

enterprise integration technologies including APIs, Middleware, ESB or iPaaS platforms. Hands‐on experience integrating internal and third-party systems. Azure cloud experience, including: Azure OpenAI Azure AI Foundry Azure App Services Azure Functions Azure Kubernetes Service (AKS) Azure API Management Azure Networking & Security Experience with GitLab CI/ ...

production Gen AI applications**What we’ll 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 ...

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 ...

Proficiency in at least one programming language. I.e Python, C#, JavaScript, Kotlin, Java, Go.. Experience with Gen AI tools (e.g LangGraph, CrewAI, Hugging Face, OpenAI APIs etc) Experience in building and optimising systems for performance, scalability, and reliability Understanding of ML fundamentals (training, evaluation, deployment) and LLM‐specific challenges (prompt ...

production Gen AI applications What we’ll 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 ...

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 ...

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 ...

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 ...

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 ...