3 of 3 Azure Machine Learning Jobs in the Midlands

data science or a related field » 2-4 years' experience in the field of data science, Microsoft Cloud or AI » Familiar with Microsoft Cloud and Data Platform (e.g. Azure AI, Copilot Studio, Microsoft Fabric, Power Platform, etc.) » Strong enthusiasm for AI and its applications across industries » Either possess or working towards official "Microsoft Certified" Certification » Well organised … experience and a strong passion for learning. Your responsibilities » Design and deliver internal training on Microsoft AI tools, including Azure AI and Copilot Studio » Create learning materials and onboarding guides for Copilot, Power Apps, and Power Automate » Run internal AI labs and pilot programs to explore use cases and drive adoption » Apply Microsoft Responsible 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 ❯

months of graduation, we’ll refund 100% of your fees. What You’ll Gain Hands-On Skills: Excel, SQL, Python, Power BI, Azure AI, Machine Learning Industry Certifications: CompTIA Data+, Microsoft Power BI (PL-300), Azure AI Fundamentals (AI-900) Real Projects: Work on real-world data challenges to showcase More ❯

an AI Engineer to join their specialist AI team. This is a technically challenging role where you will lead the design and deployment of Generative AI applications using Azure AI Foundry and related services. You will be part of a collaborative 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 both technical and non-technical stakeholders. Contributing More ❯