51 to 75 of 211 OpenAI Jobs in England

management, and graph-based orchestration.Proficiency in ML/NLP and generative models; experience with embeddings, vector stores, RAG, and LLM integration/fine-tuning (OpenAI, LLaMA, Cohere, etc.)Strong coding in Python and experience with frameworks/tools such as FastAPI, PyTorch/TensorFlow, MLflow;3-5+ years ...

management, and graph-based orchestration.Proficiency in ML/NLP and generative models; experience with embeddings, vector stores, RAG, and LLM integration/fine-tuning (OpenAI, LLaMA, Cohere, etc.)Strong coding in Python and experience with frameworks/tools such as FastAPI, PyTorch/TensorFlow, MLflow;3-5+ years ...

conversational commerce, intelligent search, and autonomous merchandising — integrated into commerce platforms or built on cloud AI services (e.g. Google Vertex AI, AWS Bedrock, Azure OpenAI)Driving build vs. buy decisions across commerce platforms, AI orchestration frameworks, and supporting infrastructure, bringing a point of view grounded in delivery experienceEmbedding responsible ...

FastAPIFamiliarity with PostgreSQL, Redis, and REST API design and integrationExperience with test-driven development and CI/CD workflowsExperience integrating AI technologies such as OpenAI, LangChain, or RAG pipelinesUnderstanding of authentication and authorization approaches including OpenID and SAMLExperience deploying cloud-native services on AWS with containerized infrastructure and KubernetesExperience with ...

standards, and 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 ...

cross-functional team to deliver something secure and genuinely usable at scale. What you'll be doing • Designing and developing GenAI applications using OpenAI/Azure OpenAI or equivalent LLM platforms • Building multi-agent solutions with agent-orchestration frameworks such as LangGraph • Creating Retrieval-Augmented Generation (RAG) pipelines over enterprise … retrieval quality, latency and cost for live production workloads What we're looking for • Strong Python and backend development experience • Hands-on experience with OpenAI/Azure OpenAI, prompt engineering, RAG, embeddings and vector search • Proven experience building agentic AI with LangGraph or similar (LangChain, Semantic Kernel, AutoGen, CrewAI) • Experience ...

step workflow orchestration • Retrieval-Augmented Generation (RAG) design and implementation • Document processing and knowledge extraction systems • Working with foundation models via API (e.g. Azure OpenAI, OpenAI) • Prompt engineering for structured, grounded, and reliable outputs • Context management, chunking strategies, and retrieval optimisation • Hallucination mitigation and source attribution by design• Experience building ...

building and deploying production applications within Microsoft Azure. Exposure to building AI-enabled applications using technologies such as Azure AI, Microsoft AI Foundry, Azure OpenAI, Semantic Kernel, Agent Framework or similar. Understanding of RAG, LLMs, vector search and agentic AI concepts. Experience integrating applications with APIs, cloud services and enterprise ...

Model Context Protocol (MCP) and AI integration patterns Experience with vector databases such as Pinecone, Weaviate, FAISS, or Azure AI Search Experience working with OpenAI and other leading foundation models Knowledge of real-time AI pipelines, including speech-to-text and streaming AI applications Experience with technologies such as Pipecat ...

governance processes.Strong understanding of cloud platforms, enterprise integration, security and identity management.Excellent stakeholder engagement and communication skills.Desirable ExperienceFinancial services or other highly regulated sectors.Azure OpenAI and enterprise GenAI platforms.Semantic search, vector databases and knowledge architecture.Microsoft Graph, SharePoint and collaboration platform integrations.Knowledge of AI governance, GDPR, EU AI Act and operational ...

cloud platforms, enterprise integration, security and identity management. Excellent stakeholder engagement and communication skills. Desirable Experience Financial services or other highly regulated sectors. Azure OpenAI and enterprise GenAI platforms. Semantic search, vector databases and knowledge architecture. Microsoft Graph, SharePoint and collaboration platform integrations. Knowledge of AI governance, GDPR ...

data, integration, application architecture, security, responsible AI, governance, and operational support considerations.Bachelor's degree or equivalent work experience.Preferred Skills:Experience with Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, Snowflake, vector databases, orchestration frameworks, and MLOps/LLMOps tooling.Experience supporting large pursuits, proposal development, pricing reviews, or delivery ...

/CD work as initiatives require itCross-functional impact: collaborate with Product, Security, Analytics, and Medical teams, and engage with technology partners (Databricks, Google, OpenAI, Anthropic, AWS) on pre-release capabilities relevant to your featuresExperience and skillsMust have:7+ years of software engineering, with recent hands-on experience building product ...

Search and Recommendation EnginesAutomate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI) Maintain and version model registries and artifact stores to ensure reproducibility and governance Develop and manage CI/CD for ML, including automated data validation ...

deploying and operating AI systems in production environments Understanding of model evaluation, data quality, and performance monitoring Experience using cloud AI platforms (Azure ML, OpenAI, or similar) Enjoy travel and are comfortable with travel up to 25% Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging ...

Interest in AI technologies and emerging AI engineering practices. DesirableExposure to large language models (LLMs), generative AI, or Azure AI capabilities such as Azure OpenAI or Foundry. Familiarity with data engineering concepts, vector databases, or retrieval augmented generation (RAG). Familiarity with responsible AI principles and data privacy considerations. Experience ...

retrieval strategies.Proficiency with AI-powered development tools: Cursor IDE and Claude Code for AI-assisted coding workflows.Integrating and working with LLM APIs (Anthropic Claude, OpenAI GPT, Google Gemini).Experience building custom MCP Servers to expose our internal APIs, databases, and business logic to AI models in a standardized, secure wayExperience ...

retrieval strategies.Proficiency with AI-powered development tools: Cursor IDE and Claude Code for AI-assisted coding workflows.Integrating and working with LLM APIs (Anthropic Claude, OpenAI GPT, Google Gemini).Experience building custom MCP Servers to expose our internal APIs, databases, and business logic to AI models in a standardized, secure wayExperience ...

retrieval strategies.Proficiency with AI-powered development tools: Cursor IDE and Claude Code for AI-assisted coding workflows.Integrating and working with LLM APIs (Anthropic Claude, OpenAI GPT, Google Gemini).Experience building custom MCP Servers to expose our internal APIs, databases, and business logic to AI models in a standardized, secure wayExperience ...

applications using React, Next.js, Tailwind CSS, and ShadCN UI. Strong knowledge of REST APIs, GraphQL, API integrations, authentication, and serverless architectures. Experience integrating OpenAI, Azure OpenAI, Copilot Studio, LangChain, and AI Agent frameworks. Good understanding of RAG, vector databases, and conversational AI solutions. Hands-on experience with cloud deployment using … through AI-assisted tools and reusable component frameworks. Design and develop responsive user interfaces, APIs, and cloud-native application architectures. Integrate AI capabilities using OpenAI, Azure OpenAI, Copilot Studio, and AI agent frameworks . Collaborate with business stakeholders, architects, UX designers, and development teams to deliver solutions. Lead requirements gathering ...

engineers who have already begun applying AI capabilities within enterprise data platforms. This could include experience with technologies such as: Azure AI Foundry Azure OpenAI Microsoft Copilot Large Language Models (LLMs) AI-powered analytics Intelligent automation Machine Learning services You don't need to be an AI specialist ...

. Exposure to supporting the deployment of AI/ML models, working alongside engineering colleagues. Some exposure to generative AI concepts and tools (e.g., OpenAI GPT, Hugging Face Transformers), gained through coursework, internships, or personal projects. Basic awareness of cloud technologies (AWS, Azure, or GCP). Some experience creating visualisations ...

years of experience in a software engineering, solutions engineering, or ML deployment roleProficiency in Python and working knowledge of AI/ML frameworks (e.g. OpenAI, Hugging Face, LangChain, Pinecone, Weaviate, etc.)Familiarity with building LLM applications, RAG systems, or conversational AI workflowsExperience integrating with enterprise systems via APIs or middleware ...

Deep experience designing and delivering AI-enabled applications using agentic workflows, LLMs, RAG, model orchestration, embeddings, vector search, and model evaluation techniques. Experience with OpenAI, Anthropic, Google Vertex AI, GitHub Copilot or related AI developer ecosystems. Proven ability to influence technical strategy across teams without relying solely on direct reporting ...

driven measurable business impact.Machine Learning & AIHands-on work with generative AI – including prompt engineering, context engineering and multiagent systems and working with managed endpoints (OpenAI, Anthropic, AWS Bedrock) and open-weight models (Hugging Face ecosystem)Knowledge of agentic design patterns and working with LLMsScientific rigour applied to AI. ...