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 & Experience
Strong commercial experience within MLOps, Platform Engineering, or Infrastructure Engineering supporting machine learning systems.
Advanced Python programming skills with a strong software engineering mindset.
Hands-on experience with Azure-native MLOps services, including model deployment, pipelines, environments, and compute...
Senior MLOps Engineer 201043 employer: Harnham - Data & Analytics Recruitment Careers
As a leading consumer retail organisation based in London, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and the opportunity to lead transformative digital initiatives, all while enjoying a competitive salary and bonus structure. Join us to be part of a forward-thinking team that values your contributions and empowers you to drive meaningful change in a rapidly evolving market.
Contact Details:
Harnham - Data & Analytics Recruitment Careers Recruitment Team
