Senior Cloud Engineer - AI Platforms

Senior Cloud Engineer - AI PlatformsLondon – 5 days onsite£550 - 600 p/d Inside IR35 emagine is a high-end professional services consultancy and solutions firm. Specialising in delivering business and technology services to the financial services sector, we power progress, solve challenges, and achieve real results through tailored, high‑end consulting solutions.We have built a culture of openness and integrity through genuine relationships and strong partnerships. This enables us to remain uncompromising in our commitment to delivering exceptional service for our clients. Equally, we foster a positive and inclusive environment for our consultants and colleagues, grounded in our core values: Confident, Dedicated, Responsible, Genuine.We are seeking the expertise of a Cloud Engineer to Join our Tech practice. The Senior Cloud Engineer for AI Platforms is tasked with driving the architecture, development, and scaling of custom AI systems in both Microsoft Azure and AWS environments, focusing on innovative cloud-native solutions.Main Responsibilities:Design and implement scalable cloud-native architectures in Azure, planning future expansion into AWS.Develop bespoke AI-powered applications and services. Integrate and operationalize cloud AI services including LLMs, ML platforms, and cognitive services. Build and maintain CI/CD pipelines for cloud and AI workloads. Lead infrastructure design using Infrastructure as Code (Terraform/Bicep/CloudFormation).Ensure security, scalability, resilience, and cost optimization.Support cloud migration and multi-cloud strategy initiatives.Collaborate closely with software engineers, data scientists, and product teams.Key Requirements: Strong hands-on experience with Microsoft Azure.Azure AI Services / Cognitive Services expertise.Azure Machine Learning proficiency.Azure Kubernetes Service (AKS) knowledge.Strong software engineering background (Python, C#, Java, or similar).Infrastructure as Code experience (Terraform preferred). Containerization and orchestration skills (Docker, Kubernetes).Strong understanding of cloud security and governance.Experience with multi-cloud or Azure → AWS migration projects.MLOps experience (model lifecycle management, monitoring, retraining).Experience integrating LLMs or generative AI APIs.Familiarity with event-driven architectures and serverless systems.At emagineWe are committed to building an international and diverse team by embracing the differences in our backgrounds.If you are excited by the challenge and want to learn more, get in touch with us today. Our internal recruitment team is always keen to hear from dynamic individuals looking to further their careers and reach their full potential. “emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin.”