1 to 25 of 128 OpenAI Jobs in London

lake architectures, data integration, and data governance, and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from AWS, Azure, Google, HuggingFace, OpenAI and Databricks) building ML or applied AI solutions. A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's Fundamental knowledge of ML, and basic More ❯

A degree in Computer Science, Engineering, Data Science, HCI, AI, similar field of study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud computing platforms, experience with More ❯

vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g., AWS Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc. Bachelors degree (masters or higher strongly preferred) in machine learning, computer science, data science, applied mathematics or related technical field What Would Make You Stand Out: Experience More ❯

A degree in Computer Science, Engineering, Data Science, HCI, AI, similar field of study or equivalent work experience Experience with GenAI technologies like MCP, A2A, LangGraph, LlamaIndex, Pydantic AI, OpenAI APIs and SDKs Applied experience with AI, Machine Learning, familiarity with large language models and their operational requirements Experience with Distributed Systems, Kubernetes, container orchestration, cloud computing platforms, experience with More ❯

AI and machine learning frameworks (GANs, VAEs, transformer-based architectures, LLMs). Programming experience with Python, PySpark, microservices, and data modeling. Proficient in LLM orchestration on platforms such as OpenAI on Azure, AWS Bedrock, GCP Vertex AI, or Gemini AI. Architecture & Deployment: Designing, deploying, and scaling AI architectures aligned to enterprise standards. Proven experience in MLOps and AI lifecycle management More ❯

Docker CI/CD pipelines (Azure DevOps, GitHub Actions, etc.) Front End frameworks (React, Vue, ASP.NET) API design (REST, JSON, XML) Database experience: SQL, NoSQL, vector databases AI integration: OpenAI, Gemini, and other LLMs Strong knowledge of agile, lean, and DevOps best practices.A collaborative, commercial, and solutions-oriented mindset - someone who thrives in a high-trust, cross-functional environment.Previous experience More ❯

security and compliance. What Youll Do: Develop and deploy machine learning models for anti-money laundering and counter-terrorist financing. Contribute to dynamic monitoring systems using tools like TensorFlow, OpenAI, and LangChain. Help design GenAI pipelines and consensus mechanisms across a distributed agent system. Work alongside DevOps to build scalable, automated ML deployment pipelines. Write clean, well-documented code using More ❯

automation initiatives in a digital or tech-driven organisation Strong knowledge of GenAI, NLP, LLMs, RPA, and their business applications Hands-on experience with AI platforms and tools (e.g. OpenAI, Azure ML, Vertex AI, UiPath) Excellent stakeholder engagement and communication skills Analytical and commercially focused mindset—able to identify and quantify impact Desirable: Technical background in data science, engineering, or More ❯

automation initiatives in a digital or tech-driven organisation Strong knowledge of GenAI, NLP, LLMs, RPA, and their business applications Hands-on experience with AI platforms and tools (e.g. OpenAI, Azure ML, Vertex AI, UiPath) Excellent stakeholder engagement and communication skills Analytical and commercially focused mindset-able to identify and quantify impact Technical background in data science, engineering, or computer More ❯

influence the product roadmap What we look for: Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI Extensive hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, scikit-learn, and TensorFlow/PyTorch Experience building production-grade machine learning deployments More ❯

influence the product roadmap What we look for: Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI Extensive hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, scikit-learn, and TensorFlow/PyTorch Experience building production-grade machine learning deployments More ❯

based environments preferred) Solid understanding of core machine learning concepts, algorithms, and evaluation metrics Practical knowledge of LLMs and NLP techniques; experience using frameworks like Hugging Face Transformers or OpenAI APIs Strong Python programming skills to write clean, modular code and experience with core data science libraries Familiarity with software development workflows, including Git, code reviews, and unit testing Comfortable More ❯

based environments preferred) Solid understanding of core machine learning concepts, algorithms, and evaluation metrics Practical knowledge of LLMs and NLP techniques; experience using frameworks like Hugging Face Transformers or OpenAI APIs Strong Python programming skills to write clean, modular code and experience with core data science libraries Familiarity with software development workflows, including Git, code reviews, and unit testing Comfortable More ❯

systems-ensuring functionality is transitioned without disruption. GenAI Drive the end-to-end engineering of generative-AI solutions-designing, building and operationalising pipelines that harness Claude (via Databricks), Azure OpenAI Service and ChatGPT-while enforcing robust security, governance and monitoring to deliver scalable, business-value-driven outcomes. Integration Deliver integration of internal systems and external vendor technology including BlackRock eFront More ❯

of outdated systemsensuring functionality is transitioned without disruption. GenAI Drive the end-to-end engineering of generative-AI solutionsdesigning, building and operationalising pipelines that harness Claude (via Databricks), Azure OpenAI Service and ChatGPTwhile enforcing robust security, governance and monitoring to deliver scalable, business-value-driven outcomes. Integration Deliver integration of internal systems and external vendor technology including BlackRock eFront, Intapp More ❯

systems-ensuring functionality is transitioned without disruption. GenAI Drive the end-to-end engineering of generative-AI solutions-designing, building and operationalising pipelines that harness Claude (via Databricks), Azure OpenAI Service and ChatGPT-while enforcing robust security, governance and monitoring to deliver scalable, business-value-driven outcomes. Integration Deliver integration of internal systems and external vendor technology including BlackRock eFront More ❯

/Small Language Models) deployment, fine-tuning, inference optimization, retrieval-augmented generation (RAG), API-based AI deployment and model orchestration. Strong knowledge of Cloud AI & Hyperscalers, including AWS Bedrock, OpenAI, Google Vertex AI, Azure, hybrid and multimodal AI applications. Proficiency in Cloud Security & FinOps, including AI landing zones, model refinement and testing, and compliance strategies. Experience in Enterprise AI Design More ❯

skills with the ability to influence cross-functional stakeholders. Bonus Qualifications: Experience working in regulated or compliance-heavy industries (e.g., legal, finance, healthcare). Familiarity with GenAI technologies (e.g., OpenAI, vector databases, prompt engineering, RAG pipelines). Experience scaling and leading global remote engineering teams. This is a rare opportunity to define and lead the technology behind the next wave More ❯

organizations build and deploy AI. Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI More ❯

audiences. Hands-on expertise in Python, SQL, ML frameworks (e.g. XGBoost, TensorFlow, PyTorch), and cloud tools (GCP, BigQuery, Vertex AI). Familiar with generative AI tools and frameworks (e.g. OpenAI, HuggingFace, LangChain). Deeply curious, commercially minded, and impact-driven with strong critical thinking skills. Comfortable in fast-paced environments with a proactive, self-starter mindset. Holds a relevant STEM More ❯

visualization principles and best practices. Experience with relational databases and data modelling concepts. Understanding of machine learning concepts and libraries (scikit-learn, pandas). Experience with LLM frameworks & APIs (OpenAI, Mistral AI, Hugging Face, Ollama, etc ). 25 days of holiday Bonus Pension contribution Private medical, dental, and vision coverage Life assurance Critical illness cover Wellness contribution program with access More ❯

Flask), and Azure Experience building full web applications (not just websites) Product-focused mindset with attention to UX and code quality Bonus: experience or interest in AI/LLMs (OpenAI, Claude, LangChain, etc.) Preferably from mid-large company environments Interview Process: 30-minute intro (including some technical Qs) Technical task (approx. 3-4 hours) Final interview with programme leadership If More ❯

of multi-agent frameworks (CrewAI, AutoGen, LangGraph, Agno, OpenHands, etc.) and when to use them. In-depth knowledge of tokenisation strategies (e.g. BPE, SentencePiece, byte tokenisation), embedding models (e.g. OpenAI Ada, text-embedding-3-large), and their performance implications. Familiarity with knowledge graphs (e.g. Neo4j, LangDB, in-memory graphs) and graph neural networks for reasoning. Strong grounding in probabilistic models More ❯

/CSS Experience working with both SQL and NoSQL (GraphDB, CosmosDB, Postgres, etc.) Familiarity with cloud development (ideally on Azure ) and containerised deployments Bonus: Exposure to LLM APIs (e.g. OpenAI, Claude), GenAI tooling, and AI product development Why This Team? You'll be joining a well-funded innovation group within a globally recognised organisation, where you'll have direct impact More ❯

and the ability to communicate technical concepts to non-technical stakeholders. Experience with enterprise systems integration (legal or corporate environments a plus). Preferred: Knowledge of AI libraries (e.g. OpenAI, PyTorch), SQL/NoSQL databases, or Node.js/TypeScript for custom n8n nodes. Experience with Microsoft Power Platform or LangChain frameworks. Benefits £70k–£75k salary benefits. 25 days holiday (increasing More ❯