1 to 25 of 138 OpenAI Jobs in London

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 ❯

support vector machines, and neural networks (deep learning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services , 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 ❯

Java). Demonstrated experience deploying and maintaining LLMs (e.g., GPT's, Llama) in production environments. Familiarity with frameworks and tooling for LLMs and generative AI (e.g., Transformers, LangChain, Haystack, OpenAI, Vertex AI). Experience operationalizing ML solutions in cloud-native environments (AWS, GCP, Azure). Proficiency with containerization and orchestration (Docker, Kubernetes or similar) for scalable model deployment. Practical experience More ❯

with cloud platforms such as AWS, GCP, or Azure Understanding of API integration and deploying solutions in cloud environments Familiarity or hands-on exposure to generative AI ecosystems (e.g., OpenAI, Bedrock, Hugging Face) LLMs & Emerging Tech Awareness Awareness of large language models (LLMs) and a strong enthusiasm for staying current with advancements in generative AI and applied machine learning Communication More ❯

and explainability Rewquirements: Extensive experience in AI/ML and data engineering, with at least 3 years in a technical leadership role. Proven experience working with GenAI technologies (e.g., OpenAI, Hugging Face, LangChain, RAG pipelines). Strong programming skills in Python, SQL, and familiarity with cloud platforms (Azure, AWS, GCP). Expertise in data architecture, ETL/ELT pipelines, and 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 ❯

at least 1 year focused on prompt engineering or working with LLMs. Strong understanding of NLP, transformer models, and generative AI principles. Hands-on experience with platforms such as OpenAI, Anthropic, Cohere, or Hugging Face. Proficiency in Python and familiarity with tools like LangChain, PromptLayer, or similar. Excellent analytical, problem-solving, and communication skills. Preferred Qualifications: Experience with prompt tuning 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 ❯

relevance retrieval and other GenAI techniques. Familiarity with cloud platform providers (minimum of 1): AWS: Amazon SageMaker, Bedrock (Titan, Claude, etc.), CodeWhisperer, Amazon Transcribe, Amazon Comprehend, etc. Azure: Azure OpenAI Service (Gemini, GPT, DALL-E, Codex), Azure Machine Learning, Cognitive Services (Speech, Vision, Language), etc. GCP: Vertex AI (PaLM 2, other LLMs), Generative AI Studio, AI Platform, Cloud Natural Language More ❯

About the Team Security is at the foundation of OpenAI's mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI's technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our … tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture. About the Role As a Security Engineer you will join our OpenAI engineers and researchers in building, operating and securing transformational AI technologies. This role will focus on all aspects of Detection & Response, including infrastructure and operations, and will also contribute to … all major security verticals including: AppSec, InfraSec, OffSec and Detection and Response Innovate to solve novel security problems Collaborate on cutting-edge AI research, and use AI to improve OpenAI's Security posture This role is based in London, UK. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new 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 ❯

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 ❯

Experience in regulated industries such as insurance, banking, or financial services Familiarity with ML development platforms and tooling, including model registries, feature stores, and frameworks for generative AI (e.g. OpenAI, LangGraph, Vertex AI) Understanding of CI/CD pipelines for machine learning and infrastructure-as-code tools (e.g. Terraform, CloudFormation) Exposure to advanced techniques such as large language models (LLMs 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 ❯

knowledge, and has a practical, down-to-earth approach. Nice to have Experience testing AI/LLM-based solutions, including model accuracy, correctness, and performance validation. Familiarity with Azure OpenAI Service, AWS Bedrock, or similar AI platforms. Experience testing OfficeJS applications or add-ins. Background in the LegalTech domain or other highly regulated industries. QA certifications (e.g., ISTQB) or other 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 ❯