Senior MLOps Engineer 201043

Senior MLOps Engineer London (Hybrid) | Salary: up to £85,000 This is an opportunity to join a growing AI and data organisation where your work will directly support the deployment, scalability, and reliability of innovative machine learning solutions. You will play a pivotal role in building the infrastructure that enables advanced AI services to deliver real-world impact at scale. The Company They are a mission-led technology organisation that uses data, machine learning, and AI to help organisations make better decisions and deliver meaningful outcomes. With a growing client base and continued investment in their platform, they are expanding their engineering capabilities to support the next stage of growth. Their environment combines technical excellence with a strong focus on responsible AI, innovation, and continuous improvement. You will be joining a collaborative team where your expertise will help shape both the platform and the wider AI strategy. The Role Build, maintain, and evolve the cloud infrastructure that supports machine learning and AI services in production. Deploy, manage, and monitor machine learning models using Azure ML, Azure Kubernetes Service (AKS), and related Azure services. Design and develop robust orchestration pipelines for model training, deployment, inference, and retraining workflows. Implement infrastructure-as-code solutions using tools such as Terraform, Bicep, or similar technologies. Establish monitoring, logging, alerting, and observability frameworks to ensure reliability and performance. Support scalable deployment across multiple client environments while maintaining security and operational excellence. Collaborate with data scientists, engineers, and wider business stakeholders to enable successful AI delivery. Contribute to AI governance, best practices, and responsible AI principles across the organisation. Your Skills