1 to 25 of 685 OpenAI Jobs in the UK

applications, and internal tools. Integrate AI capabilities following secure, scalable engineering best practices. Design, build and validate AI‐driven solutions leveraging providers such as OpenAI and Anthropic. Enhance low‐code/no‐code automation platforms (e.g., Power Automate, n8n, Workato) by embedding intelligent processing and applying agentic patterns where relevant. ...

learn, XGBoost, Prophet), experience building and deploying models, and familiarity with MLflow or equivalent MLOps tooling. Generative AI: practical experience with LLM APIs (Azure OpenAI, OpenAI, or equivalent) for building intelligent interfaces or automating classification, tagging, and cost attribution tasks. Software engineering fundamentals: Python, SQL, Git, CI/CD, containerization ...

good understanding of GenAI prompt engineering, RAG pipelines, Supervised/unsupervised ML and AI observability•Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases (Pinecone, Weaviate, FAISS).•Experience in designing and scaling GenAI chatbots.•Experience in Agentic AI solutions. Good knowledge ...

with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or machine learning workflows.Experience integrating AI APIs and platforms such as OpenAI, Anthropic, Azure AI, or similar technologies.Knowledge of vector databases, embeddings, prompt engineering, and AI application architecture.Experience with Python for AI/ML-related development.Exposure ...

Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), AI agents, or machine learning workflows. Experience integrating AI APIs and platforms such as OpenAI, Anthropic, Azure AI, or similar technologies. Knowledge of vector databases, embeddings, prompt engineering, and AI application architecture. Experience with Python for AI/ML-related ...

Databricks and data platform integrations Experience with both .NET and Python development Experience building AI-enabled or agentic applications Experience with Azure AI Services, OpenAI, LangChain, or similar platforms Experience designing and developing secure REST APIs and enterprise integrations Strong understanding of SQL, relational databases, and data-intensive applications Experience ...

prompt engineering, tool and function calling, RAG, and at least one production Agentic AI system. Cloud AI platform : deep experience with one of Azure, OpenAI, AWS Bedrock, Claude; Kubernetes and cloud-native deployment. LLMOps & evaluation : CI/CD for AI, automated evals, experiment tracking, observability, model lifecycle management. Responsible ...

model observability, monitoring, evaluation frameworks, experimentation, reliability, and operational perfection.Expertise in cloud-native AI development using Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure AI Search, AWS AI Services, and modern cloud architectures.Experience implementing MLOps and LLMOps practices, including CI/CD, model lifecycle management, governance, and production operations ...

model observability, monitoring, evaluation frameworks, experimentation, reliability, and operational perfection.Expertise in cloud-native AI development using Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure AI Search, AWS AI Services, and modern cloud architectures.Experience implementing MLOps and LLMOps practices, including CI/CD, model lifecycle management, governance, and production operations ...

observability, monitoring, evaluation frameworks, experimentation, reliability, and operational perfection**.* Expertise in cloud-native AI development using **Azure AI Foundry, Azure Machine Learning, Azure OpenAI, Azure AI Search, AWS AI Services, and modern cloud architectures**.* Experience implementing **MLOps and LLMOps practices**, including CI/CD, model lifecycle management, governance ...

with a solid understanding of API design, development and integration patternsLLM and Generative AI ExpertiseExperience with frameworks such as LangChain, LangGraph, and APIs from OpenAI, Anthropic, etc.Demonstrated proficiency in prompt engineering and orchestrating AI agents, chatbots, and autonomous workflowsCloud, Deployment & Operations Experience- Familiarity with cloud AI/ML services (Azure ...

bring structure to an unfamiliar product, resolve dependencies across teams, and remain accountable after it enters production.Nice to have skillsAzure AI Foundry, Azure OpenAI, Anthropic Claude, Microsoft 365 Copilot, GitHub Copilot, or Microsoft Copilot Studio.Microsoft 365, Entra ID, Purview, and Power Platform administration, including admin-centre configuration, data-loss-prevention ...

Agentic AI solutions in enterprise environments. Strong programming skills in Python, SQL and/or Scala. Experience with Azure cloud technologies including Azure OpenAI and Azure AI Foundry. Knowledge of Spark Structured Streaming, Autoloader and modern data engineering practices. Experience with ETL/ELT, data modelling and scalable data architectures. ...

programming language (for example Python, C#, JavaScript, Kotlin, Java or Go)Experience with Gen AI tools (such as LangGraph, CrewAI, Hugging Face or OpenAI APIs) and ML frameworks like PyTorch or TensorFlowStrong understanding of ML fundamentals (training, evaluation, deployment) and LLM-specific challenges such as prompt engineering, latency and cost ...

cloud-native architecture, microservices, and event-driven integration patterns. Experience with Azure Service Bus, Event Grid, or similar cloud messaging platforms. Familiarity with Azure OpenAI and AI-enabled cloud architectures is highly desirable.AI-Assisted Development Hands-on experience with AI-assisted development tools such as GitHub Copilot, GitLab Duo, Cursor ...

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 AIProficiency in programming languages such as Java, Python, or Node.js.Strong experience with cloud platforms like AWS, Azure, or Google Cloud Platform. Experience ...

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 ...

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 ...

impact and a strong programming foundation (Java, Python, Go, or equivalent).Hands-on experience with AI/ML engineering — including working with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents), embedding models, and vector databases.Proven expertise in prompt engineering: designing, iterating, and evaluating prompts for production use cases including ...

strong programming foundation (Java, Python, Go, or equivalent). Hands-on experience with AI/ML engineering — including working with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents), embedding models, and vector databases. Proven expertise in prompt engineering : designing, iterating, and evaluating prompts for production use cases including classification ...

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. We work with customer executives, product and engineering teams, security leaders, and transformation teams to identify valuable opportunities, accelerate technical implementation, and scale what works. Enterprise deployments … successful demonstrations. This is a rare opportunity to work on consequential real‐world deployments at the frontier of AI while directly influencing how OpenAI’s products evolve. This role is based in London. We use a hybrid work model of 3 days in the office per week and offer relocation ...

About the Team OpenAI’s Applied AI Engineering team helps organizations turn frontier AI capabilities into safe, reliable, and high-impact production systems. For software engineering organizations, this means helping customers adopt Codex and other OpenAI capabilities across the software development lifecycle—transforming how teams plan, build, test, review … security, reliability, evaluation, and operational readiness, while ensuring deployments translate into measurable improvements in engineering productivity and software delivery. You will work closely with OpenAI Product, Research, Engineering, Security, Sales, and the broader Codex organization, translating real‐world deployment experience into high‐signal product and model feedback. Success is measured ...