26 to 50 of 82 OpenAI Jobs in the City of London

transformation. Degree in Computer Science, AI, or 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 (including company-wide More ❯

transformation. Degree in Computer Science, AI, or 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 (including company-wide More ❯

function from the ground up Design and deploy intelligent agents, models, and automation frameworks Experiment with LLMs, ML, and agentic systems using live production data Integrate third-party APIs (OpenAI, Microsoft, Anthropic) into core SaaS products Develop reusable architectures and rapid prototypes that move from idea to value fast Work with the AI Advisory Board to shape strategic direction Upskill More ❯

function from the ground up Design and deploy intelligent agents, models, and automation frameworks Experiment with LLMs, ML, and agentic systems using live production data Integrate third-party APIs (OpenAI, Microsoft, Anthropic) into core SaaS products Develop reusable architectures and rapid prototypes that move from idea to value fast Work with the AI Advisory Board to shape strategic direction Upskill More ❯

data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model providers (OpenAI, Anthropic, Mistral, etc.). Lead PoCs and pilot deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for prompt engineering, model safety, bias mitigation More ❯

data lakes, APIs). Technical Leadership Collaborate with data scientists, ML engineers, and software developers to implement GenAI models. Evaluate and select appropriate GenAI frameworks, libraries, and model providers (OpenAI, Anthropic, Mistral, etc.). Lead PoCs and pilot deployments, ensuring alignment with business goals and technical feasibility. Governance & Risk Management Establish best practices for prompt engineering, model safety, bias mitigation More ❯

API design, data modelling, and microservice architecture. Excellent communication skills, with the ability to translate technical outcomes into business impact. Tech Environment Languages: Python, TypeScript, Java AI/LLM: OpenAI, Anthropic, Retrieval-Augmented Generation (RAG) Infrastructure: AWS (Lambda, ECS, S3), Terraform, Docker Databases: PostgreSQL, MySQL, Redis, vector databases DevOps: GitHub, CI/CD pipelines Why Join Competitive salary and comprehensive More ❯

API design, data modelling, and microservice architecture. Excellent communication skills, with the ability to translate technical outcomes into business impact. Tech Environment Languages: Python, TypeScript, Java AI/LLM: OpenAI, Anthropic, Retrieval-Augmented Generation (RAG) Infrastructure: AWS (Lambda, ECS, S3), Terraform, Docker Databases: PostgreSQL, MySQL, Redis, vector databases DevOps: GitHub, CI/CD pipelines Why Join Competitive salary and comprehensive More ❯

Founded in 2023, the company has already secured significant early-stage funding, including a $10m Seed round in 2024. The founding team is composed of ex-Palantir and ex-OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning More ❯

customers customer feedback. Our AI-powered platform consolidates feedback from app reviews, support chats, surveys, and social media into a single, easily accessible space. This enables companies like Grubhub, OpenAI, Dropbox, and Careem to collect and derive actionable insights and deliver a better, real-time customer experience that drives sustainable growth. We are backed by top investors, including Neo, Sukna More ❯

Founded in 2023, the company has already secured significant early-stage funding, including a $10m Seed round in 2024. The founding team is composed of ex-Palantir and ex-OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning More ❯

to deepen expertise. Familiarity with version control systems (Git) and modern development practices. Desirable Skills & Experience Curiosity about or experience with AI-powered development tools (e.g., GitHub Copilot, ChatGPT, OpenAI APIs). Exposure to AI-assisted automation in support workflows or development. Understanding of machine learning basics or awareness of AI frameworks. Experience with cloud platforms (AWS, Azure). Knowledge More ❯

operations and business continuity. Transformation Collaborate with architects and engineering teams to modernise legacy systems and enable cloud-native development. Lead the integration of Azure AI services (including Azure OpenAI, Cognitive Services, and Machine Learning) into key business applications. Global Operations & Service Delivery Oversee 24/7 global cloud operations, ensuring optimal availability, performance, and reliability. Implement and manage service More ❯

Mobile, QA, DevOps, and Business Analysts. What We’re Looking For 5+ years of Data Science experience Strong hands-on expertise with GenAI technologies (LLMs, agentic AI, agents, Azure OpenAI API) Prior chatbot development experience (a strong plus) Experience with recommender systems is a bonus More ❯

Data Handling: NumPy, Pandas, SQL Version Control: Git/GitHub System Integration & Deployment Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs LLM Frameworks: LangChain, LlamaIndex – for building LLM-powered applications Vector Databases: FAISS, Weaviate, Pinecone, Qdrant (Nice-to-Have) Retrieval-Augmented Generation (RAG): Experience building hybrid systems More ❯

Data Handling: NumPy, Pandas, SQL Version Control: Git/GitHub System Integration & Deployment Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral APIs LLM Frameworks: LangChain, LlamaIndex – for building LLM-powered applications Vector Databases: FAISS, Weaviate, Pinecone, Qdrant (Nice-to-Have) Retrieval-Augmented Generation (RAG): Experience building hybrid systems More ❯

AI solutions using Microsoft's low-code ecosystem. Requirements Experience with Power Platform, including: Copilot Studio, Power Automate, Power Apps, and custom connectors Proficiency in Microsoft Graph API, Azure OpenAI, and Semantic Kernel Solid programming skills in Python and/or C# Experience with: LangChain, AutoGen, or similar orchestration frameworks Azure AI Search, Form Recognizer, and Language Services GitHub Actions More ❯

on Microsoft Copilot technologies. Deep understanding of the Microsoft Copilot ecosystem, including Microsoft 365 Copilot, SharePoint Copilot, Teams Copilot, and Security Copilot. Experience with Microsoft Azure services, particularly Azure OpenAI, Azure AD, and integration services (e.g., Logic Apps, API Management). Strong knowledge of enterprise architecture, solution design, and system integration. Bachelor's degree in Computer Science, Information Systems, Engineering More ❯

Tech Start-Up | London | Cutting-Edge Machine Learning & Autonomous Systems Join one of the UK’s most exciting deep tech start-ups , backed by leaders from Meta, Google, and OpenAI . We’re building frontier AI and autonomous systems that redefine intelligent defence. The Opportunity As Lead AI Engineer , you’ll shape architecture, research direction, and real-world deployment of More ❯

Tech Start-Up | London | Cutting-Edge Machine Learning & Autonomous Systems Join one of the UK’s most exciting deep tech start-ups , backed by leaders from Meta, Google, and OpenAI . We’re building frontier AI and autonomous systems that redefine intelligent defence. The Opportunity As Lead AI Engineer , you’ll shape architecture, research direction, and real-world deployment of More ❯

background in working with unstructured data and turning it into structured, model-ready form. Experience building or fine-tuning predictive models and deploying them to production. Familiarity with LLMs (OpenAI, Claude, Gemini, etc). Excited about being the first AI/ML hire and shaping the roadmap. Passionate about impact, sustainability, and working in a fast-moving early-stage environment. More ❯

background in working with unstructured data and turning it into structured, model-ready form. Experience building or fine-tuning predictive models and deploying them to production. Familiarity with LLMs (OpenAI, Claude, Gemini, etc). Excited about being the first AI/ML hire and shaping the roadmap. Passionate about impact, sustainability, and working in a fast-moving early-stage environment. More ❯

London/Hybrid) Salary : £100k–140k Equity : 1–3% (founding-level) Hybrid working: Central London, 3 days p/week in office. Tech Stack: TypeScript, Node.js, React, Python, LangChain, OpenAI/Anthropic I’m working with a YC-backed startup that’s building the next generation of AI-native analytics . This is a seed-stage, well-funded company with More ❯

APIs, and writing feature/unit tests Ability to refactor legacy applications using modern standards Desirable Skills Experience with React or Vue.js Familiarity with AI tools/APIs (e.g., OpenAI, Hugging Face) Exposure to CI/CD pipelines Experience with Meilisearch and WebSockets More ❯

1+ year of fullstack experience (open to senior/staff-level engineers too) Production experience with Model Context Protocol (MCP) is highly desired Experience working with LLMs, RAGs, Langchain, OpenAI, Claude etc is beneficial Generative AI Product experience Production-grade Python skills Frontend experience with Vue + TypeScript , or React and a willingness to learn Vue Understanding of web performance More ❯