1 to 25 of 70 OpenAI Jobs in the UK excluding London

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 More ❯

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 More ❯

leading AI/ML initiatives. Expertise in LLM-driven architectures, prompt engineering, and fine-tuning. Strong hands-on experience with AI frameworks like LangChain, OpenAI APIs, and Hugging Face. Deep understanding of multi-agent systems, decision-making algorithms, and reinforcement learning. Experience with cloud-based AI deployment (AWS, GCP, or More ❯

can ingest millions of data points (social, streaming, ticketing) in near-real-time and surface actionable insights for promoters. 15% Integrate AI workflows (LangGraph, OpenAI/Anthropic/Gemini) into planning and marketing modules, including prompt design, evaluation and safety. 10% Drive code quality through PR reviews, automated testing (Vitest More ❯

enabling safe, accurate, and context-aware content surfacing. Responsibilities Design and implement RAG architectures using open-source and potentially proprietary LLMs (e.g., LLaMA, Mistral, OpenAI, Anthropic). Build and maintain retrieval pipelines over structured and unstructured health data (EHRs, patient notes, device logs, clinical documentation). Develop indexing strategies using More ❯

NLP, or a related discipline, with strong understanding of LLM internals. Toolbelt Ready : Proficient in Python and LLM tools like Hugging Face, LangChain, or OpenAI API. Prompt-Savvy : Comfortable with prompt engineering, model evaluation, and structured analysis of generative systems. Experimentation First : Experience (or interest) in fine-tuning, instruction tuning More ❯

solutions. Key Skills Required Expertise in LLM pipelines, embedding models, and vector search architecture. Strong hands-on experience with the Azure AI stack (Azure OpenAI, Azure Search). Proficient in Python, CI/CD, and MLOps tools (Git, Azure DevOps). Experience working in regulated environments, ideally within financial services. More ❯

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 More ❯

like Lambda, DynamoDB, and Redshift. Integrating APIs from LLM providers and other external data services You'll connect a variety of APIs (including Claude, OpenAI and others) to enable dynamic conversational agents and intelligent automation. Building Retrieval-Augmented Generation pipelines You'll design smart knowledge retrieval systems using vector databases More ❯

Qualifications: • Experience working with legal professionals or in regulated industries. • Technical background or close collaboration with engineering and data science teams. • Exposure to Azure, OpenAI, or enterprise-level cloud services. • Ability to thrive in a remote, distributed team environment. About Morae: Morae is a dynamic, high-growth organization that provides More ❯

function under the hood and contribute to their development, scalability, reliability, and continuous improvement. AI Engineering: Build, test, and optimise generative AI features using OpenAI, Claude, Gemini, and fine-tuned custom models. Develop model evaluation pipelines and optimise model behaviour. Prompt Engineering: Craft, iterate, and test prompt strategies and templates More ❯

present across different levels of architecture abstraction; and working with multi-disciplinary teams Have interest or experience with key Technology Platforms across AI solutions (OpenAI, AWS), Cloud (Azure, AWS, Google), Supply Chain (O9, BlueYonder, Kinaxis), CRM (Dynamics, Salesforce), Data (Palantir, Snowflake), ERP (SAP S4) or others. Have proven stakeholder management More ❯

FastAPI), Typescript (Express) or similar Frontend Development: React, Next.js, or Vite GenAI tools: LangChain, LangGraph, CrewAI, or Vercel AI (Python or JavaScript) LLM platforms: OpenAI, Anthropic, Mistral, or Llama Cloud: AWS or Azure Containerisation Bonus Points: Experience in building Proof of Concepts (POCs) Client engagement or business development experience Your More ❯

platforms. Integrate the chatbot with existing financial systems and databases to deliver real-time, accurate insights. Experience: Hands-on development of LLM-based applications (OpenAI, Anthropic, Hugging Face, etc.). Strong Python programming skills, including libraries like pandas , numpy , and experience with data pipelines. Domain experience in finance (liquidity, risk More ❯

/ML for improving user experience and personalization. Implement chatbots, recommendation systems, and predictive analytics. Work with AI frameworks such as TensorFlow, PyTorch, or OpenAI APIs. ERP System Automation: Develop and automate ERP workflows for seamless business operations. Integrate ERP systems with third-party applications. Optimize processes through robotic process More ❯

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, RAG More ❯

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, AI/ML architectural patterns and best practices e.g. data drift detection, experimentation tracking, RAG, deployment models More ❯

sessions. What you'll need 4+ years of experience developing React and/or React Native applications. 3+ years of TypeScript experience. Experience integrating OpenAI, Google Gemini, or other LLM APIs into web or mobile applications. Hands-on experience with PostgreSQL or other relational databases , including designing and optimising schemas More ❯

architecture, and enterprise integration. Expertise in LLMs, NLP/NLU, Conversational/GenAI, AI Search, and Virtual Agents. Proficiency in programming & AI development (Python, OpenAI APIs, MLOps frameworks). Nice-to-Haves: Experience with multilingual AI models for global translation. AI certifications (e.g., Azure AI Engineer, Google ML Engineer, TOGAF … alignment with business goals. Develop and deploy custom AI models (NLU, NLG, AI Search, Virtual Agents) and integrate with SaaS platforms (e.g., ServiceNow, Workday, OpenAI) to improve user experience. Establish AI governance frameworks to align with Responsible AI practices and ensure compliance with data privacy laws (e.g., GDPR, CCPA). … feedback loops. Expertise in AI/ML algorithms, enterprise-scale applications, and SaaS AI platforms (e.g., ServiceNow Now Assist, Workday Illuminate, SAP, Microsoft CoPilot, OpenAI, Mistral), with experience integrating AI solutions with enterprise systems (Microsoft, Workday, SAP) to enable connected experiences across search and conversational AI. What can you expect More ❯

architecture, and enterprise integration. Expertise in LLMs, NLP/NLU, Conversational/GenAI, AI Search, and Virtual Agents. Proficiency in programming & AI development (Python, OpenAI APIs, MLOps frameworks). Nice-to-Haves: Experience with multilingual AI models for global translation. AI certifications (e.g., Azure AI Engineer, Google ML Engineer, TOGAF … alignment with business goals. Develop and deploy custom AI models (NLU, NLG, AI Search, Virtual Agents) and integrate with SaaS platforms (e.g., ServiceNow, Workday, OpenAI) to improve user experience. Establish AI governance frameworks to align with Responsible AI practices and ensure compliance with data privacy laws (e.g., GDPR, CCPA). … feedback loops. Expertise in AI/ML algorithms, enterprise-scale applications, and SaaS AI platforms (e.g., ServiceNow Now Assist, Workday Illuminate, SAP, Microsoft CoPilot, OpenAI, Mistral), with experience integrating AI solutions with enterprise systems (Microsoft, Workday, SAP) to enable connected experiences across search and conversational AI. What can you expect More ❯

Processing: Implement ETL pipelines and real-time data processing to support AI solutions. AI Solution Integration: Enhance enterprise applications with AI services like Azure OpenAI and Cognitive Services for automation and analytics. API Development: Create secure and efficient RESTful APIs for AI and enterprise applications, deploying solutions using Azure services … solution integration, Data Science, and Data Engineering, including API development (REST, GraphQL). Cloud Services Knowledge: Hands-on experience with Azure services, including Azure OpenAI, AKS, and Azure Container Apps. Database Proficiency: In-depth knowledge of SQL and NoSQL databases (Azure Cosmos DB, PostgreSQL) and cloud storage solutions. Microservices & CI More ❯

Integration from design to code. Extensive experience of Mulesoft Anypoint Platform Proficiency in Mulesoft Runtime Fabric (on-premises) Strong understanding of API methodologies ie: OpenAI, RAML Experience with DevOps best practices Proficiency in various programming languages including .NET, C# Preferred Familiarity with Salesforce, OCP, ESM, Jira. Previous experience in the More ❯

a strong preference for experience in the insurance or financial services sector. Experience working with LLMs and NLP frameworks such as Hugging Face or OpenAI is a strong advantage. Proven experience managing and mentoring a team of data professionals, with a commitment to fostering a collaborative environment. If this role More ❯

and adapt – We blend cutting-edge research with real-world application, continuously iterating and improving Tech Stack AI & Data : Python, LangChain, LlamaIndex, LangGraph Models : OpenAI, Anthropic, Gemini, Custom Models Data & Infrastructure : DBT, BigQuery, PostgreSQL, OpenSearch, Redis, AWS, Google Cloud Product Development : TypeScript (Full-stack) What We’re Looking For Proven More ❯

challenges, requirements, and solutions. With hands-on experience of developing solutions, you will have proven exposure to: Python, SQL, R React Large language models OpenAI API This role is client facing so you will be confident and comfortable understanding requirements, recognising solutions and providing consultation where required. Holiday entitlement of More ❯