1 to 25 of 42 OpenAI Jobs in Central London

Extensive experience with major cloud platforms (AWS, Google Cloud, Azure), microservices, containerization (Docker, Kubernetes), and DevOps/CI/CD pipelines. Skilled in Python, React, Typescript, Kubernetes, Azure, and OpenAI technologies. A natural problem-solver with a talent for leading, motivating, and inspiring teams. Excellent communication skills and ability to bridge technical and non-technical stakeholders effectively. Brings a startup More ❯

Job Title: Generative AI Architect – Professional Services Job Description: We are seeking a strategic and highly skilled Generative AI Architect to lead the design and implementation of advanced AI solutions tailored for professional services. This role requires expertise in AI More ❯

multiple agents with specific tasks/goals in a collaborative, dynamic environment. Familiarity with tools and frameworks that enable LLM-based integrations such as LangChain , Semantic Kernel , or Azure OpenAI . Appreciation for ethical AI considerations including data privacy , security , and bias mitigation . Eagerness to explore emerging technologies and collaborate with AI/ML teams to bring intelligence into More ❯

Platform : Build advanced AML/CTF transaction monitoring modules using both traditional statistical methods and modern ML techniques. Develop and deploy machine learning monitors using tools such as TensorFlow, OpenAI APIs, LangChain, Pytest, gRPC, and Python. Assist in implementing generative AI summarisation pipelines and agent communication protocols within a multi-agent system. Drive Deployment and ML Operations: Collaborate with DevOps … preferably Azure). Experience with ML frameworks such as TensorFlow or PyTorch. Understanding of ML lifecycles, including model training, validation, testing, and deployment. Exposure to tools such as LangChain, OpenAI, Alembic, and orchestration with Poetry and Mypy is a plus. It’s A Bonus If You Have: Experience working with Generative AI, multi-agent systems, or compliance/regulatory tech. More ❯

data science solutions using digital consumer data Develop models and tools using Python, NLP, and machine learning frameworks Explore and integrate state-of-the-art AI from providers like OpenAI, Google, Microsoft, and AWS Conduct research on emerging AI/NLP trends and share knowledge with the wider team Work on a mix of proof-of-concept and full-scale 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 ❯

decisions balancing cost and delivery timelines What we're looking for 4-5 years relevant experience Proficiency in Python or similar programming languages Experience with GenAI tools (LangGraph, CrewAI, OpenAI APIs, Hugging Face) ML fundamentals and LLM expertise (prompt engineering, cost optimization) Cloud platforms (AWS/GCP/Azure) and infrastructure-as-code DevOps tooling (CI/CD, Docker, Kubernetes More ❯

and compliance. What You’ll 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 ❯

AI/ML and serverless computing. Proficiency in JavaScript, TypeScript, Node.js, React.js, and Express.js for building full-stack applications. Experience with AI/ML frameworks such as TensorFlow, PyTorch, OpenAI API, or LangChain. Knowledge of microservices architecture, containerization (Docker, Kubernetes), and event-driven patterns. Strong understanding of API design, including REST, GraphQL, and WebSockets. Familiarity with DevOps practices, CI/ More ❯

LLaMA, Claude, or similar, including fine-tuning, prompt engineering, and deploying models in production environments. Strong proficiency in Python, with expertise in using frameworks like Hugging Face Transformers, LangChain, OpenAI APIs, or other LLM orchestration tools. A solid understanding of tokenization, embedding models, vector databases (e.g., Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) pipelines. Experience designing and evaluating LLM More ❯

to debug an API contract. Thrive in an early-stage, high-ownership environment—prototype today, deploy tomorrow, iterate next week. Bonus Points Experience deploying or consuming LLM-powered services (OpenAI, open-source models, RAG, vector stores) can be a bonus. However, we consider many great candidates without previous AI experience. What we're offering: Base salary from More ❯

tools, SDKs, or APIs. Strong communication skills — capable of bridging the gap between engineering, product, and enterprise stakeholders. Bonus: experience working with AI/ML tooling (e.g. Hugging Face, OpenAI, LLMs, vector databases, etc.) Bonus: background in consulting, technical pre-sales, or solutions architecture. 🌍 Why Join Us? Help define the developer experience of tomorrow — where AI does the heavy lifting. More ❯

privacy, copyright, and ethical considerations in AI adoption. Degree in Computer Science, Data Science, Media Technology, or a related field. Hands-on experience with AI platforms and tools (e.g., OpenAI, Adobe Firefly, Synthesia, RunwayML, Jasper, ChatGPT, etc.). Background in media production, journalism, or digital marketing is highly desirable. About us: At Peregrine, we see beyond the immediate and look More ❯

privacy, copyright, and ethical considerations in AI adoption. Degree in Computer Science, Data Science, Media Technology, or a related field. Hands-on experience with AI platforms and tools (e.g., OpenAI, Adobe Firefly, Synthesia, RunwayML, Jasper, ChatGPT, etc.). Background in media production, journalism, or digital marketing is highly desirable. About us: At Peregrine, we see beyond the immediate and look More ❯

fun doing it. If you can ship Python or TypeScript prototypes before the pizza gets cold, keep reading. Responsibilities: Prompt Engineering & Orchestration: Craft, iterate, and optimize prompts for APIs (OpenAI, Cohere, Anthropic). Build multi-step “chains” using LangChain, LlamaIndex, or custom controllers. Develop and maintain AI microservices using Docker, Kubernetes, and FastAPI, ensuring smooth model serving and error handling … architectural discussions, and sprint planning to deliver features end-to-end. Requirements: Master’s degree in AI and/or Computer Science; Hands-on experience integrating LLM APIs (e.g. OpenAI, Hugging Face Inference); Practical experience fine-tuning LLMs via OpenAI, HuggingFace or similar APIs; Strong proficiency in Python; Deep expertise in prompt engineering and tooling like LangChain or LlamaIndex; Proficiency More ❯

Platform. AI Tools: Demonstrable ability to create custom GPT's and Chatbots using AI Tools (we use Google Gemini API (and Notebook LM), Anthropics Claude AI, Microsoft CoPilot, and OpenAI's Chat GPT). Demonstrate a keen interest in financial products Ability to manage user expectations and communication with stakeholders BSc Technical Degree, ideally in computer science Minimum 6 years+ More ❯

Experience deploying AI models on cloud (Azure preferred) 1 years’ experience in applying NLP/LLM to legal documents 1 year experience in developing LLM applications (META, Anthropic, Google, OpenAI etc) Experience with the Azure stack (AI Foundry, Copilot Studio etc) would be beneficial Any experience of Agentic AI or Multi Agent Framework would be a bonus What do we More ❯

APIs or GraphQL Experience building production-grade applications and designing clean data models (SQL/NoSQL) Bonus Points For: Familiarity with AI/LLM tools (LangChain, Vercel AI SDK, OpenAI APIs) Experience building real-time apps (e.g., WebSockets) Understanding of authentication/authorization flows in web apps Knowledge of financial services, fintech, or enterprise-grade products This is a rare More ❯

on experience with Microsoft Power Platform, including Copilot Studio, Power Apps, Power Automate, Power Pages, AI Builder, and Dataverse. Azure AI Skills : Proficient in using Azure AI Foundry, Azure OpenAI, Azure Search, Azure Cognitive Services, Azure Document Intelligence, and other Azure services to develop custom AI solutions. Integration Experience : Experience in integrating Power Platform with other systems using Azure integration More ❯

and services Lead implementation of full-stack interfaces and services using Node.js, TypeScript, React.js, Express, Next.js Integrate ML models and embeddings into production pipelines using AWS SageMaker , Bedrock or OpenAI APIs Build support systems for autonomous agents including memory storage, vector search (e.g., Pinecone, Weaviate) and tool registries Enforce system-level requirements for security, compliance, observability and CI/CD More ❯

an entrepreneurial mindset to optimise our company’s internal and external performance through building internal products. This will span from building internal products for our teams’ workflows to implementing OpenAI and image generation web APIs. We pride ourselves on bringing innovation, creativity and experience to everything that we do. You must be organised to ensure deadlines are met, and willing More ❯

We are partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Full Stack Software Engineers . This fast-growing organisation is transforming mission-critical combat planning and operational decision-making More ❯

implement scalable data solutions, including real-time and ETL/ELT data pipelines. Responsibilities include optimizing our data warehouse, creating Power BI reports, and developing AI-driven solutions using OpenAI APIs. **Key Responsibilities:** - Design and implement robust real-time data pipelines from diverse sources. - Maintain a high-performance data warehouse for reporting and analytics. - Develop insightful Power BI dashboards and … reports for stakeholders. - Use Azure Data Factory, Azure Functions, and Logic Apps for data integration. - Employ Python and SQL for data transformation and analysis. - Leverage OpenAI APIs for AI/ML solutions. - Collaborate with teams to align data strategy with business goals. - Ensure data quality, consistency, and compliance. **Required Qualifications:** - 7-8 years in Data Engineering, Data Architecture, or related … ecosystems. - Proficiency in Python and strong SQL skills. - Familiarity with Azure services (Data Factory, Logic Apps, etc.). - Expertise in Power BI for data modeling and visualization. - Experience with OpenAI APIs or similar services. - Understanding of data warehousing and data governance. **Preferred Qualifications:** - Knowledge of DevOps practices and CI/CD pipelines. - Familiarity with cloud-native data platforms (e.g., Databricks More ❯

workflows) Scalable backend services and internal APIs to support data-heavy processes Realtime interfaces using modern frontend frameworks (HTMX/Turbo/Alpine or similar) Integrations with LLMs (e.g., OpenAI, Claude) to optimise and automate user workflows Developer tooling and infrastructure to support continuous deployment and high availability Tech Stack Overview (this isn’t a list of all the things … just giving you a good overview of what is on offer) Backend: Ruby on Rails, PostgreSQL, Sidekiq, Redis, AWS Frontend: Turbo/Hotwire, Phlex, AlpineJS, TailwindCSS AI/LLM: OpenAI, Claude, LangChain (or equivalents) Infra: Docker, Terraform, GitHub Actions, CloudWatch What You’ll Do Write clean, well-tested code across the stack with a product-focused mindset Own feature development More ❯

AI deployment, security, and performance. Collaborate with clients to understand business needs and transform them into scalable AI-driven solutions. Ensure seamless integration with Azure services, including Cognitive Services, OpenAI models, and vector databases. Your Profile Proven experience working with Azure AI Foundry and its ecosystem. Strong background in LLM fine-tuning, RAG (Retrieval-Augmented Generation), and AI-driven application … development. Proficiency in Python, ML frameworks (PyTorch, TensorFlow), and cloud-native AI solutions. Hands-on experience with Azure Cognitive Services, OpenAI APIs, and vector search (e.g., Azure AI Search, FAISS, CosmosDB, Pinecone, etc.). Experience in AI security, MLOps, and deploying scalable AI solutions. Ability to troubleshoot and optimize AI models for performance and accuracy About Capgemini Capgemini is a More ❯