2 of 2 Azure Certification Jobs in Lincolnshire

medical products. ClariMed is proud to be Great Place To Work Certified, with an exceptional 98% of employees reporting that people genuinely care about each other here. This certification validates that our human-centered approach extends beyond our client services to our own workplace culture. Our team members thrive in an environment where 95% feel welcomed, empowered with … Work with cross-functional teams to architect cloud solutions, ensuring performance, scalability, security, and compliance. Implement cloud-native architecture, microservices, and containerization (Docker, Kubernetes). Deploy and manage Azure Cloud applications, ensuring reliability and efficiency. Implement DevOps practices, cloud storage solutions, and infrastructure automation. Build and maintain RESTful APIs for seamless backend-to-frontend integration. Develop AI/… CI/CD pipelines, and cloud security. Strong knowledge of microservices architecture, RESTful APIs, and database management (SQL/NoSQL). Preferred: Cloud certifications (e.g., AWS Certified Developer, Azure Developer, Google Cloud Professional Cloud Developer). Experience in AI/ML model integration within cloud and medical applications. Familiarity with containerization (Docker/Kubernetes) and serverless computing. Experience More ❯

collaboration, recognition and inclusivity and offer a wide range of benefits to support staff wellbeing. Your Future Starts Here PURPOSE OF JOB: We’re looking for an experienced Azure Data & AI Engineer with a strong focus on advanced analytics, machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real … world AI/ML solution delivery experience with a solid 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, Language, and Speech) is expected, alongside a developer-oriented mindset (code-first) and experience with integrating AI workloads into secure, scalable Azure environments. The role requires deep platform knowledge - especially across Azure More ❯