10 of 10 Permanent OpenAI Jobs in the Midlands

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 ❯

or digital transformation projects, ideally in manufacturing or FMCG. Practical experience with AI tools like ChatGPT, Microsoft Copilot, and predictive analytics platforms. Familiarity with AI/ML frameworks (e.g., OpenAI API, TensorFlow, PyTorch) and automation platforms. Strong understanding of data integration, APIs, and enterprise architecture. Ability to translate business challenges into scalable technical solutions. Project management expertise across ideation, execution More ❯

companies on AI projects » Identify AI opportunities across departments and prototype solutions using Microsoft Fabric and Azure Synapse Analytics » Build and deploy models using Azure Machine Learning and Azure OpenAI Service » Develop Power Apps and Power Automate flows to streamline and improve business processes More ❯

and ready for growth. What You ll Bring 5+ years experience designing and managing Azure infrastructure at scale. Strong understanding of Azure services: Networking, WAF, Logic Apps, and Azure OpenAI . Deep expertise in automation and Infrastructure as Code (Terraform, Bicep, PowerShell). Solid grasp of Azure security and identity management in line with Zero Trust principles. Experience with CI More ❯

a similar operational environment. Hands-on use of tools such as ChatGPT, Microsoft Copilot, predictive analytics, and automation platforms. Strong understanding of AI/ML frameworks and APIs (e.g. OpenAI API, TensorFlow, PyTorch). Excellent ability to translate business challenges into technical solutions. Solid project management and stakeholder engagement skills. Demonstrated success in delivering measurable improvements through AI and automation. More ❯

a similar operational environment. Hands-on use of tools such as ChatGPT, Microsoft Copilot, predictive analytics, and automation platforms. Strong understanding of AI/ML frameworks and APIs (e.g. OpenAI API, TensorFlow, PyTorch). Excellent ability to translate business challenges into technical solutions. Solid project management and stakeholder engagement skills. Demonstrated success in delivering measurable improvements through AI and automation. More ❯

measurable impact. This position suits someone with solid experience in deploying and managing live AI systems rather than proofs of concept. Designing and deploying AI solutions using Langfuse, LiteLLM, OpenAI, and Azure OpenAI. Working closely with engineering teams to embed AI capabilities within core products. NET/C#/SQL or PHP/Laravel/MySQL environments. Supporting architectural design More ❯

and orchestration frameworks to deliver measurable impact. 💡The Role: Design and implement multi-step agent systems that orchestrate tools, APIs, and retrieval. Productionise on Azure using AI Foundry/OpenAI, Azure ML, Functions, Event Grid/Service Bus, and Kubernetes. Build LLMOps pipelines for evaluation, monitoring, safety, and cost control. Define observability standards across prompts, tools, and data flows. Establish … on with critical code paths while guiding architecture and best practice. 🧠Required Skills/Experience: Strong Python engineering background with production experience on Azure. Depth across Azure AI/OpenAI, Azure ML, and event-driven/containerised architectures. Experience building agents or copilots (Copilot Studio or custom frameworks). Clear judgment around latency, cost, and reliability trade-offs. Track record More ❯

systems rather than proofs of concept. Responsibilities include: • Developing and maintaining the organisation’s LLM operations platform, including orchestration and observability. • Designing and deploying AI solutions using Langfuse, LiteLLM, OpenAI, and Azure OpenAI. • Working closely with engineering teams to embed AI capabilities within core products. • Implementing and integrating knowledge graph systems such as Neo4j. • Working within Kubernetes, .NET/C# … the ability to think strategically about architecture and commercial outcomes. Essential experience and skills: • Demonstrable production experience with LLM and machine learning systems. • Hands-on knowledge of Langfuse, LiteLLM, OpenAI, or Azure OpenAI. • Familiarity with graph databases, ideally Neo4j. • Experience in cloud environments, containerisation, and CI/CD pipelines. • Strong background in either .NET/C#/SQL or PHP More ❯

systems rather than proofs of concept. Responsibilities include: • Developing and maintaining the organisation’s LLM operations platform, including orchestration and observability. • Designing and deploying AI solutions using Langfuse, LiteLLM, OpenAI, and Azure OpenAI. • Working closely with engineering teams to embed AI capabilities within core products. • Implementing and integrating knowledge graph systems such as Neo4j. • Working within Kubernetes, .NET/C# … the ability to think strategically about architecture and commercial outcomes. Essential experience and skills: • Demonstrable production experience with LLM and machine learning systems. • Hands-on knowledge of Langfuse, LiteLLM, OpenAI, or Azure OpenAI. • Familiarity with graph databases, ideally Neo4j. • Experience in cloud environments, containerisation, and CI/CD pipelines. • Strong background in either .NET/C#/SQL or PHP More ❯