23 of 23 Permanent OpenAI Jobs in the North of England

Data Analytics and Data Scientists to translate exploratory analysis and models into production-ready AI/ML solutions Experience leveraging and fine-tuning third-party or foundational models (e.g. OpenAI, Anthropic, Hugging Face) alongside in-house proprietary models Contributions to open-source AI/ML projects or AI/ML community engagement Experience in R&D environments or innovation labs 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 ❯

Cyber Essentials, NIST, or similar frameworks) Understanding of cloud cost optimisation and FinOps practices Familiarity with supporting data/AI pipelines or platform integrations (e.g., Azure Data Factory, Databricks, OpenAI) Exposure to other cloud environments (AWS, Google Cloud) Behaviours Proactive problem-solver who balances pragmatism with long-term maintainability Comfortable owning delivery, making trade-offs, and asking the "so what More ❯

language models (LLMs), and techniques such as retrieval-augmented generation (RAG) and agent-based approaches, supported by frameworks like LangChain and CrewAI Skills in leveraging AI model APIs (e.g. OpenAI, Anthropic) and rapid prototyping tools such as Streamlit, along with AI-native developer tools like Cursor, to bring ideas to life quickly Degree in Computer Science, Data Science or similar More ❯

enterprise environments Experience in all architecture domains:- application, data, cloud ( AWS) and technology with expertise with AI, Gen Ai and ML frameworks (e.g., TensorFlow, PyTorch, AWS Sagemaker, AWS Bedrock, OpenAI). Strong experience of AI services and AI lifecycle and model training Proficiency in backend and frontend technologies such as .NET Core, Node.js, and React; familiarity with microservices, event sourcing More ❯

enhancement. 3. AI Tools & Automation Core Skills: Experience as a Prompt Engineer and in building intelligent agents. Ability to apply AI tools to solve real-world problems. Tools & Technologies: OpenAI Library Microsoft AI Labs ️4. Capability Development & Automation Core Skills: Quick learner with the ability to adopt and apply new methods. Skilled in automating processes and building tools or apps. More ❯

following would be beneficial, though all we require is an interest in developing these skills in post: Familiarity with tools for working with Large Language Models via API (e.g. OpenAI, LangChain, LlamaIndex), or in a local context (e.g. HuggingFace transformers). Experience with natural language processing, deep learning and generative AI including prompt engineering. Experience supporting and enabling technical teams More ❯

a passion for GenAI. Must Have: Strong Engineering skills in Python - 2yrs commercial minimum Any front-End experience is advantageous Experience with GenAI tools (LangChain, LangGraph, etc.) and LLMs (OpenAI, Anthropic, Llama, etc.) Familiarity with monitoring (Langsmith, Langfuse), Git, and vector/NoSQL/SQL databases Eligible for SC Clearance - lived in the UK for 5yrs+ Salary for the Python More ❯

large language models. You’ll work on fine-tuning, integrating, and scaling LLMs for real-world applications. Key Skills: Strong Python engineering background Experience with LLMs (e.g. Hugging Face, OpenAI, LangChain) Model fine-tuning, RAG pipelines, vector databases (e.g. FAISS, Pinecone) Cloud (AWS/GCP), CI/CD, Docker Bonus: Knowledge of model optimization, quantization, or open-source contributions. 📩 If More ❯

large language models. You’ll work on fine-tuning, integrating, and scaling LLMs for real-world applications. Key Skills: Strong Python engineering background Experience with LLMs (e.g. Hugging Face, OpenAI, LangChain) Model fine-tuning, RAG pipelines, vector databases (e.g. FAISS, Pinecone) Cloud (AWS/GCP), CI/CD, Docker Bonus: Knowledge of model optimization, quantization, or open-source contributions. 📩 If More ❯

large language models. You’ll work on fine-tuning, integrating, and scaling LLMs for real-world applications. Key Skills: Strong Python engineering background Experience with LLMs (e.g. Hugging Face, OpenAI, LangChain) Model fine-tuning, RAG pipelines, vector databases (e.g. FAISS, Pinecone) Cloud (AWS/GCP), CI/CD, Docker Bonus: Knowledge of model optimization, quantization, or open-source contributions. 📩 If More ❯

large language models. You’ll work on fine-tuning, integrating, and scaling LLMs for real-world applications. Key Skills: Strong Python engineering background Experience with LLMs (e.g. Hugging Face, OpenAI, LangChain) Model fine-tuning, RAG pipelines, vector databases (e.g. FAISS, Pinecone) Cloud (AWS/GCP), CI/CD, Docker Bonus: Knowledge of model optimization, quantization, or open-source contributions. 📩 If More ❯

large language models. You’ll work on fine-tuning, integrating, and scaling LLMs for real-world applications. Key Skills: Strong Python engineering background Experience with LLMs (e.g. Hugging Face, OpenAI, LangChain) Model fine-tuning, RAG pipelines, vector databases (e.g. FAISS, Pinecone) Cloud (AWS/GCP), CI/CD, Docker Bonus: Knowledge of model optimization, quantization, or open-source contributions. 📩 If More ❯

large language models. You’ll work on fine-tuning, integrating, and scaling LLMs for real-world applications. Key Skills: Strong Python engineering background Experience with LLMs (e.g. Hugging Face, OpenAI, LangChain) Model fine-tuning, RAG pipelines, vector databases (e.g. FAISS, Pinecone) Cloud (AWS/GCP), CI/CD, Docker Bonus: Knowledge of model optimization, quantization, or open-source contributions. 📩 If More ❯

keep progressing your own skills and career. Requirements Your skills and experience 4 years or more minimum commercial experience as a modern Software Engineer Demonstrable experience in AI Models (OpenAI, Gemini or other) AWS Lambda, Microservices, API Gateway, S3, Document Databases (DynamoDB, MongoDB, Elastic or similar) Infrastructure as Code (Serverless, Cloudformation, Terraform or similar) - DevOps mindset A solid working understanding More ❯

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 ❯

internal ops. What You’ll Do This is a hands-on, learning-by-doing role. You’ll: Build and refine AI prompts for internal tools and client delivery Use OpenAI, Claude, or open-source models to automate tasks and boost output Work with platforms like Zapier, Make.com, Airtable, Notion, or Slack to link things together Test and tweak tools like More ❯

implement AI-powered developer tools and services, including prompt-based code generation, smart documentation, and internal copilots. Own the end-to-end integration of LLMs and AI APIs (e.g., OpenAI, Azure OpenAI), including prompt design, evaluation, and optimization-without relying on a dedicated ML team. Build and maintain code generation pipelines using Roslyn, source generators, or templating systems to accelerate 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 ❯

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 ❯

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 ❯

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 ❯

level AI solutions for clients across various industries. This is not a research role, it's about hands-on delivery of intelligent, data-driven products, integrating tools like Azure OpenAI, Power Platform and Microsoft Fabric into client environments to create measurable business impact. You'll own the technical architecture, work closely with cross-functional teams (including cloud, data, and app … Haves): Proven experience designing and delivering AI/ML projects end-to-end (3+ minimum). Strong background in Azure data architecture or engineering. Hands-on experience with Azure OpenAI or other Microsoft Cognitive Services. Working knowledge of Power Platform/CoPilot and ability to integrate across the Microsoft stack. Ability to advise on AI strategy, data modelling, architecture and More ❯