21 of 21 Permanent OpenAI Jobs in the South East

design, asynchronous programming, and integration patterns. Hands-on with LangGraph/LangChain, LlamaIndex or Semantic Kernel for orchestration (tools, agents, guards, structured I/O). Familiarity with Azure OpenAI and at least one open model stack (e.g., Llama/Mistral via vLLM/TGI/Ollama). Proficient with Front end Frameworks such as Angular, for integration of AI More ❯

LangChain, LangGraph, or CrewAI. Develop microservices using Python (FastAPI) or TypeScript (Express). Create front-end applications with React, TypeScript, and frameworks like Next.js or Vite. Integrate LLMs (e.g., OpenAI, Anthropic, Mistral) and vector databases (e.g., ChromaDB, Pinecone, PGVector). Deploy solutions using AWS or Azure, Docker, Kubernetes, and Terraform. Implement CI/CD pipelines and monitor LLM performance using More ❯

compliance) and guard against bias, hallucinations, and misuse. What You Bring Technical Mastery: Strong skills in Python, JavaScript, or similar languages. LLM & Agent Expertise: Hands-on experience with LLMs (OpenAI, Anthropic, Mistral) and agent frameworks. Advanced Tools: Familiarity with vector databases, RAG pipelines, prompt engineering, REST APIs, cloud deployment, and containerization (Docker/Kubernetes). Domain Knowledge: Experience in one More ❯

team that values curiosity, technical excellence and continuous learning. In this role, you will be responsible for: Designing and deploying scalable Generative AI solutions using Azure AI Foundry, Azure OpenAI and Azure ML. Collaborate with clients to define use cases and translate business needs into technical solutions. Building and implementing RAG pipelines and fine-tuning models. Presenting technical concepts to More ❯

team that values curiosity, technical excellence and continuous learning. In this role, you will be responsible for: Designing and deploying scalable Generative AI solutions using Azure AI Foundry, Azure OpenAI and Azure ML. Collaborate with clients to define use cases and translate business needs into technical solutions. Building and implementing RAG pipelines and fine-tuning models. Presenting technical concepts to More ❯

team that values curiosity, technical excellence and continuous learning. In this role, you will be responsible for: Designing and deploying scalable Generative AI solutions using Azure AI Foundry, Azure OpenAI and Azure ML. Collaborate with clients to define use cases and translate business needs into technical solutions. Building and implementing RAG pipelines and fine-tuning models. Presenting technical concepts to More ❯

team that values curiosity, technical excellence and continuous learning. In this role, you will be responsible for: Designing and deploying scalable Generative AI solutions using Azure AI Foundry, Azure OpenAI and Azure ML. Collaborate with clients to define use cases and translate business needs into technical solutions. Building and implementing RAG pipelines and fine-tuning models. Presenting technical concepts to More ❯

of professional experience (for senior roles, 7+), ideally in IT support, product operations, or digital assistant environments. Familiarity with Generative AI, NLP, or LLM-based technologies (e.g., ChatGPT, Azure OpenAI). Strong written and verbal communication skills across technical and non-technical audiences. Experience improving support processes and documentation at scale. Analytical mindset and comfort with data-driven decision-making. More ❯

ensure solutions are scalable and future-ready. Key Responsibilities Develop and own the AI strategy and product roadmap . Lead the design, prototyping, and production of LLM-based applications (OpenAI, Hugging Face, LangChain, Pinecone). Build technical integrations with platforms such as Microsoft 365, Salesforce, and CMS tools. Define and embed AI governance standards , ensuring ethical and compliant use. Act More ❯

Build AI-Powered Solutions : Design and build complex, full-stack solutions from inception through to production. This includes engineering agentic workflows in Python and integrating LLMs from Nvidia, Writer, OpenAI/ChatGPT, and Google Gemini. Integrate with the Commerce Ecosystem : Architect data flows and integrations between AI/ML models and enterprise experience platforms, understanding how to leverage AI to More ❯

experience in Public Sector, Financial Services, Energy, Consumer Goods, Retail, Manufacturing, Life Sciences, Telecoms, Media, or Technology. Familiarity with Microsoft AI capabilities such as Dynamics 365 Copilot, Nuance, or OpenAI Service Builder. Experience in Field Service, HR, Finance & Operations, or equivalent. Knowledge of Agile/Scrum methodology, process mapping, and end-user training material development. What's on Offer: Competitive More ❯

and process improvement activities. Ensure that solutions are robust, secure, and maintainable, with appropriate documentation and testing standards embedded throughout the lifecycle. Integrate AI tools and APIs (such as OpenAI, Google AI, or Microsoft Copilot) into existing operational systems to improve efficiency and data handling. Assist in LMS maintenance and updates, ensuring clean, structured, and accessible data for both internal More ❯

.NET development: Building cloud-native applications using ASP.NET Core and C# Azure engineering: Leveraging services like Azure Functions, Logic Apps, and API Management Applied AI: Using tools like Azure OpenAI, Cognitive Services, and GitHub Copilot to enhance development workflows and user experiences Front end frameworks: Working with React or Angular to build responsive, intuitive interfaces Secure coding & DevOps: Embracing CI More ❯

LEAD Full Stack Developer - Laravel | High-Growth SaaS | Hybrid (London) LEAD Full Stack Developer role- Essential: Proven experience working with LLMs (e.g., OpenAI, Anthropic, Hugging Face) or applied AI projects. Nice to have: Broader AI/ML exposure, such as model fine-tuning, prompt engineering, or integration into production systems. Join a profitable, fast-growing SaaS company going through a More ❯

accessible to all . We're developing open weight models for individuals, agents, enterprises, and even nation states. Our team of AI researchers and company builders come from DeepMind, OpenAI, Google Brain, Meta, Character.AI, Anthropic and beyond. What You'll Do Develop and maintain company-wide information security policies and frameworks (US: SOC 2, NIST, GDPR; UK: ISO 27001, Cyber More ❯

that Google can't answer. You need to be the kind of person who thrives on this. TechnicalFoundation You should have hands-on experience with: Working with AI APIs (OpenAI, Anthropic, or similar platforms) Building Python applications and scripts for real-world use cases Understanding prompt engineering and AI system design Integrating systems and troubleshooting complex technical issues Learning new More ❯

on mentorship from senior ML engineers, AI researchers, and founders. Freedom to experiment with state-of-the-art models, tools, and frameworks. Modern tech stack (Python, LangChain, Hugging Face, OpenAI API, Pinecone, Kubernetes, etc.). Flexible working — remote-first culture with in-person team sessions for collaboration. Career acceleration — opportunities to own projects, lead development, and shape the product roadmap. … the needle. Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python, Data Science, AI Research, MLOps, Data Pipelines, Prompt Engineering, Model Fine-Tuning, Cloud Computing, AWS, Azure, Google Cloud, AI Infrastructure, Transformers, Reinforcement Learning, Vector More ❯

we’re looking for: 6+ years’ full-stack experience Strong in React, TypeScript, and Python (or PHP) A hands-on engineer who loves ownership and impact Bonus: experience with OpenAI, Claude, or AWS Bedrock Why join: Salary up to £80k + equity Hybrid (London-based, Bracknell HQ) Real progression toward Lead/Head of Engineering as the business scales If More ❯

Data Science Engineer - MLOPS, Machine Learning, AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL We are actively working with a global law firm who are actively looking to bolster their IT team as they undergo a global-scale cloud transformation. At present they are looking to take on a new Data Science Engineer (MLOPS, Machine Learning … AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL) to join their team on a permanent basis. this role we be responsible for the design, development and delivery of advanced analytics and AI solutions. This is a fantastic time to join a top-tier global law firm who have a long-stream of projects in the pipeline … alongside a diverse and collaborative team environment. To be considered for this Data Science Engineer (MLOPS, Machine Learning, AI, Artificial Intelligence, Azure, PyTorch, TensorFlow, LangChain, OpenAI, Docker, Kubernetes, GenAI, ETL) role, it's ideal you have: Ideal but not required law firm experience 2-4 years experience within AI/ML positions Knowledge of cloud platforms (Ideally Azure) AI/ More ❯

in tech sales and help shape the future of innovation? Our client is a cutting-edge AI start-up backed by Tier 1 investors and industry leaders from DeepMind, OpenAI, and Datadog. They’re transforming how inventors, scientists, and R&D teams manage intellectual property (IP) — using AI-driven tools that accelerate patent searches, filings, and innovation analysis. This is More ❯

Design and improve retrieval pipelines (embeddings, chunking, hybrid search, ranking, feedback loops), owning schema design, latency, and relevance across vector databases. LLM integration: Connect and orchestrate large language models (OpenAI, Bedrock, etc.), manage prompts, tools, safeguards, and evaluation. Data pipelines: Ingest, clean, and transform structured and unstructured data; design efficient schemas (Postgres/NoSQL) for search and analytics. Frontend (React … leadership skills. Nice to have Experience with rerankers (e.g., cross-encoders), hybrid retrieval (SQL + vectors), query expansion, or lightweight knowledge graphs. Familiarity with LLM evaluation tooling (LangChain, LlamaIndex, OpenAI Evals) and observability for cost, relevance, and latency. Background in B2B data products or fintech. Applicants must be based in the UK with full right to work. More ❯