1 to 25 of 66 OpenAI Jobs in the South East

Awards 2024 and our Glassdoor score is pretty mega too! Are you a seasoned AI expert ready to take your skills to the next level? Do words like Azure OpenAI, Cognitive Services, prompt engineering, Retrieval-Augmented Generation (RAG) architectures, vector stores, and API integrations make you light up inside? If so, we want to hear from you! At 1st Central … and implementation of AI engineering frameworks and standards, emphasising API integrations, Azure infrastructure, and Azure security & networking. Architect and develop AI and Generative AI solutions using services like Azure OpenAI and Azure Cognitive Services Implement prompt engineering techniques and Retrieval-Augmented Generation (RAG) architectures. Ensure scalability, security, auditability, and efficiency of AI solutions through detailed system design and development practices. 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 ❯

JAMF, DEX tools). You'll drive the adoption of AI-based automation and telemetry ingestion for continuous service improvement. You'll embed Gen-AI technologies (e.g., Microsoft Copilot, OpenAI APIs) into workspace tools and processes to enhance digital workflows and employee interactions. You'll use AI/ML techniques to build predictive maintenance models for device and application health. 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 ❯

Vite. GenAI Frameworks: Familiarity with 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 with Docker, Kubernetes, and Docker More ❯

Vite. GenAI Frameworks: Familiarity with 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 with Docker, Kubernetes, and Docker More ❯

Vite. GenAI Frameworks: Familiarity with 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 with Docker, Kubernetes, and Docker More ❯

Vite. GenAI Frameworks: Familiarity with 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 with Docker, Kubernetes, and Docker More ❯

Vite. GenAI Frameworks: Familiarity with 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 with Docker, Kubernetes, and Docker 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 ❯

business processes. Collaborate closely with IT, engineering, and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI … We’re Looking For: Demonstrable experience in AI Automation/Integration role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation (RAG) methods. Strong problem-solving skills and the ability to design More ❯

business processes. Collaborate closely with IT, engineering, and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI … We’re Looking For: Demonstrable experience in AI Automation/Integration role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation (RAG) methods. Strong problem-solving skills and the ability to design More ❯

business processes. Collaborate closely with IT, engineering, and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI … We’re Looking For: Demonstrable experience in AI Automation/Integration role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation (RAG) methods. Strong problem-solving skills and the ability to design More ❯

business processes. Collaborate closely with IT, engineering, and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI … We’re Looking For: Demonstrable experience in AI Automation/Integration role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation (RAG) methods. Strong problem-solving skills and the ability to design More ❯

business processes. Collaborate closely with IT, engineering, and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI … We’re Looking For: Demonstrable experience in AI Automation/Integration role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation (RAG) methods. Strong problem-solving skills and the ability to design More ❯

business processes. Collaborate closely with IT, engineering, and operations teams to understand business needs and translate them into technical solutions. Build intelligent automation pipelines using tools such as Python, OpenAI APIs, LangChain, and n8n. Apply Large Language Models (LLMs) to real-world challenges like email triage, document parsing, and data enrichment. Implement retrieval-augmented generation (RAG) to power internal AI … We’re Looking For: Demonstrable experience in AI Automation/Integration role. Hands-on expertise with natural language processing (NLP) and Large Language Models (LLMs). Experience using Python, OpenAI, LangChain, and vector databases. Familiarity with automation platforms like n8n, Zapier, or similar. Solid understanding of retrieval-augmented generation (RAG) methods. Strong problem-solving skills and the ability to design 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 ❯

Job Description: The Food & Nutrition Data Architect will be a key driver in transforming the Food & Nutrition (F&N) business segment. Working closely with partners, you will be responsible for data solution design, including Analytics, Visualization, Dashboards, and Operations. You 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 ❯

A growing Microsoft Partner Consultancy are looking for a passionate AI Consultant join their impressive team. The role is home-based, with some element of travel to client sites when required, and to company conferences and events. For this reason 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 ❯

understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools and frameworks such as Azure OpenAI, Prompt Flow, Semantic Kernel, Azure AI SDKs (including azure-ai-projects, azure-ai-inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision … and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams to understand data requirements. More ❯

understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools and frameworks such as Azure OpenAI, Prompt Flow, Semantic Kernel, Azure AI SDKs (including azure-ai-projects, azure-ai-inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision … and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams to understand data requirements. More ❯

understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools and frameworks such as Azure OpenAI, Prompt Flow, Semantic Kernel, Azure AI SDKs (including azure-ai-projects, azure-ai-inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision … and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams to understand data requirements. More ❯

understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven solutions using Azure-native tools and frameworks such as Azure OpenAI, Prompt Flow, Semantic Kernel, Azure AI SDKs (including azure-ai-projects, azure-ai-inference), and open-source frameworks like LangChain. Familiarity with traditional Azure AI services (e.g. Document Intelligence, Vision … and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot and resolve issues related to data processing and AI model performance. Collaborate with cross-functional teams to understand data requirements. More ❯