15 of 15 OpenAI Jobs in the City of London

Streamlit, or Gradio, among others. Experience with cloud‐based tools for production use (e.g., AWS SageMaker, AWS Bedrock, Vertex AI, Azure Machine Learning, Azure OpenAI). Knowledge of databases and data technologies, such as Snowflake, BigQuery, and relational databases like SQL. Business acumen: Strong understanding of how to apply data ...

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 ...

tools using Microsoft Azure, Copilot Studio and Azure AI Foundry, supporting workflow automation, document handling and internal decision-support. Required: Azure AI/Azure OpenAI Copilot Studio/Azure AI Foundry LLMs/AI agent solutions Python or C# Cloud/DevOps understanding Financial services or regulated environment experience Important ...

related field (or equivalent practical experience). Cloud, AI/ML, or CX vendor certifications (AWS/Azure/GCP, Genesys Cloud, OpenAI, Hugging Face, etc.) are a plus. Flexible/remote working options Private healthcare and life insurance Pension plan Cycle-to-work scheme 28 days paid annual leave ...

both frontend and backend development challenges. Experience with CI/CD workflows and Azure DevOps. Would be Beneficial: Experience with Azure AI Services and OpenAI API integration. Knowledge of low-code/no-code platforms like Webflow for rapid prototyping. Previous experience in a client-facing role, presenting technical roadmaps. ...

Responsibilities : As a Cybersecurity Specialist, you will be responsible for bringing hands on experience with leading AI technologies and platforms, primarily AWS Bedrock, Azure OpenAI, Microsoft 365 and other foundation model providers, to help teams adopt these capabilities securely and effectively. Provide guidance on model security, deployment patterns, guardrails, integration ...

cases (e.g. automation, analytics, copilots) Ability to bridge technical AI capabilities with business value Interest in emerging tools and platforms (e.g. Microsoft Copilot, OpenAI, automation platforms). Technical Capability (Desirable, not essential) SQL or equivalent data querying capability Experience with data pipelines or integration tools Familiarity with cloud platforms (Azure ...

needs into effective technical solutions. Nice to have Experience with Microsoft 365, Dynamics 365 or other enterprise platforms. Exposure to Azure AI services, Azure OpenAI or API-based AI integrations. Experience with AI-assisted workflows or agent-based solutions. Experience in regulated or complex operational environments. SC clearance, or eligibility ...

/CD pipelines and Azure DevOps with strong communication skills, translating technical requirements for non-technical teams. Experience with Azure AI Services or OpenAI integrations is advantageous. What You’ll Get as Technical Lead: 25 days annual leave & holiday purchase scheme. Hybrid working. Private medical healthcare, income protection, pension & life ...

software engineering, or data engineering. Programming experience (especially Python) Experience writing clean, maintainable Python code. Applied AI experience such as exposure to LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.) and experience with small personal or internship projects building agents or AI-driven workflows. Agentic frameworks in Python is a plus ...

enterprise data and delivered with strong controls. Youll still use classic automation where it fits, but your default mindset isAI then automateleveragingCopilot Studio,Azure OpenAI, andPower Platformto solve real business problems end-to-end. This is an opportunity to put your Intelligent Automation experience into practice in a meaningful … observability, documentation, and secure coding. The Technical stack: Essential Copilot Studio topics, actions, plugins,Power Automate triggers, knowledge sources; lifecycle, environments and ALM. Azure OpenAI/Generative AI prompt design, grounding/RAG, content filters, safety patterns, evaluation/metrics. Microsoft 365 & Graph SharePoint, Teams, Outlook; Graph APIs/connectors ...

Java Architect (with Capital Markets exp.) Project description We are building an end-to-end client lifecycle management solution, where technology drives procedural automation and standardization. Our solution includes industry-leading modules and tools widely ...

similar TypeScript-based agent frameworks. Design agent evaluation strategies using real-world execution data and human-in-the-loop signals. Integrate LLM APIs (OpenAI, Anthropic, Hugging Face, etc.) into product workflows and backend services written in TypeScript and Golang. Prototype and ship AI-powered product capabilities across the platform — from … twice a year Enhanced parental leave Regular team socials Tech Stack AI Backend: TypeScript, Mastra, Vercel AI SDK Model Integration: Anthropic (Claude), Google Gemini, OpenAI, Perplexity Agent Development: Multi-agent orchestration, structured outputs, tool use, streaming, human-in-the-loop workflows Cloud: AWS, BigQuery ...

client is at the forefront of AI adoption; you will be the technical lead ensuring that these powerful technologies from AWS Bedrock to Azure OpenAI are implemented with world-class security standards. Key Responsibilities AI Security Architecture: Design and implement secure deployment patterns and guardrails for foundation models across … Bedrock , Azure OpenAI , and Microsoft 365 . Security Strategy: Develop innovative strategies to enhance application security, specifically addressing risks like prompt injection, data leakage, and insecure output handling. Infrastructure Governance: Translate platform-specific risks into actionable engineering patterns, focusing on Network Encryption and Identity Management . Assessments & Audits: Conduct rigorous ...

state-of-the-art computer vision technologies. Key responsibilities include: Developing and scaling robust LLM-powered applications using a variety of APIs, including OpenAI, Anthropic, and Gemini. Implementing and managing multi-API workflows using tools like LiteLLM to ensure flexibility and resilience. Building sophisticated Retrieval-Augmented Generation (RAG) systems, leveraging … . Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs such as OpenAI , Anthropic , Gemini , and DeepSeek . Hands-on experience with the full RAG pipeline, including vector embeddings , rerankers , and data indexing in databases like MongoDB. Practical knowledge ...