1 to 25 of 33 OpenAI Jobs in the City of London

also valuable), containerization (Docker, Kubernetes), and infrastructure-as-code tools like Terraform. Applied AI development: Experience working with LLM APIs (e.g., OpenAI) and building lightweight AI agents. Familiarity with orchestration tools like Temporal is a plus. Collaboration and impact: Strong problem-solving ability, intellectual curiosity, and a pragmatic approach ...

/DL models, databases, ETL, and data pipelines. Experience with cloud (AWS/Azure/GCP) and MLOps. Expertise in generative AI & LLMs (OpenAI, Hugging Face, LangChain, vectors). Exceptional communicator and client‐facing collaborator. Preferred: Advanced degrees or relevant certifications. Experience with agentic AI tools and governance principles. Leadership ...

tools, and data visualization. Agentic AI edge – ideally familiar with tools like LangChain Agents, AutoGPT, CrewAI, plus GenAI/LLMs (Hugging Face, RAG, OpenAI). STEM degree with strong communication skills – explain complex AI simply, manage deliverables autonomously, fluent English Growth mindset; eager to learn 2026+ frameworks while grounding ...

Role: OpenAI Architect (FDE) Role Summary Lead the architecture and productionisation of OpenAI‐first solutions in a forward‐deployed model. You will embed with customers to design secure, scalable patterns around ChatGPT Enterprise rollout and administration (SSO/SCIM/RBAC, data controls), OpenAI API endpoints (Assistants & tool/function … control. Keep solutions portable with pragmatic use of cloud services, LangChain/LangGraph/Semantic Kernel, and standard vector stores. What you’ll do OpenAI delivery • ChatGPT Enterprise deployment & governance: Plan workspaces; implement SSO/SCIM, role models and policy guardrails; set up usage analytics; define custom GPTs governance (actions ...

such as LangChain, LlamaIndex, etc and productionizing machine learning and AI models. Language Model Development: Utilize off-the-shelf LLM services, such as Azure OpenAI, to integrate LLM capabilities into applications. Cloud Computing Expertise: Proven architect kind of experience in cloud computing, particularly with Azure Cloud Services. Technical Proficiency: Strong ...

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 ...

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 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 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 ...

scaling enterprise-grade front-end applications . Knowledge of AI technologies and hands-on experience integrating AI/ML models or APIs (e.g., OpenAI, Hugging Face, Vertex AI, Anthropic, or similar). Demonstrated ability to design and implement AI-enhanced interfaces that improve usability, personalization, or automation. Deep understanding ...

assisted data preparation. Significant experience leveraging SQL and Python for data querying and automation; familiarity with AI/ML libraries or APIs (e.g., OpenAI, scikit-learn, or similar) is preferred. Experience with visualization tools such as Tableau, Power BI, or AI-augmented BI tools (e.g., Tableau Pulse, Power BI Copilot ...

kind - this is it. What you'll build As our Lead AI engineer, you will: Architect and deploy OU’s private Azure OpenAI environment Build Prof. T v0.1 — our AI tutor trained on curriculum, assessments, and teaching materials Create retrieval and vector-based pipelines (RAG) for structured learning content Build … learners This is a rare opportunity to shape the technical core of an entire institution. What we’re looking for Essential Experience with Azure OpenAI, OpenAI, LangChain, or similar frameworks Strong Python engineering skills Practical experience building RAG systems, embeddings, vector stores Comfort with cloud architecture (Azure preferred) Ability ...

evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure OpenAI, and open-source alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector ...

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 ...

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 ...

looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB Implementation of AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking ...

while building and leading a team from the ground up. Key Skills/Experience: Experience with LLMs, generative AI models, and RAG pipelines. Frameworks: OpenAI, Anthropic Claude, Gemini, and open-source models Agentic AI, Langgraph, Crew AI, Autogen Python Development (Hands-on coding) Must have deployed AI applications on cloud. ...

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 ...

like tool patterns. Proficiency in Python, including ability to build production-grade workflows. Experience with at least one cloud AI ecosystem (Azure/OpenAI, GCP/Vertex, Anthropic, AWS etc.). Familiarity with semantic modelling, ontologies, or knowledge graph thinking - literacy required, mastery a bonus. ...

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 ...

using the latest AI technologies Qualifications: Strong hands on experience with Ruby on Rails, Turbo, AlpineJS, TailwindCSS, AWS, PostgreSQL Experience integrating with LLMs like OpenAI and Claude Strong understanding of scalable architecture and pragmatic software design Comfortable working in cross-functional teams with PMs, UX, and data specialists A product ...

doing Architect and build AI-driven backend services powering semantic search, natural language interfaces, recommendations and assistants Integrate and deploy LLM APIs (OpenAI, Anthropic, Cohere) and open-source AI frameworks (LangChain, LlamaIndex, LangGraph) into production Design and optimise RAG pipelines using embeddings, vector databases (Pinecone, Weaviate, FAISS) and other retrieval ...

Claude Code for agentic coding AWS S3, CloudFront and Lambda for storage and content delivery Cypress for end-to-end testing Third party APIs: OpenAI, Stripe, Twilio, Sendgrid, Mailchimp and more Our tech culture We follow an agile development process with fortnightly sprints. We keep meetings to a minimum ...

stakeholders Highly Valued (Differentiated Candidates) • Publications or research in multi-agent systems, reinforcement learning, AI safety, or agent architectures • Experience at AI labs (Anthropic, OpenAI, DeepMind) or leading AI research groups • Production experience with agents : LangChain, AutoGPT, CrewAI, or custom agent frameworks • Regulated industry background : Financial services, healthcare, or other ...

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 ...