MLOps Engineer

EPAM Systems

Remote · United KingdomSalary not disclosedfull-timeEPAM Systems Careers (remote abroad)

We're looking for an MLOps Engineer to join our team in London, in a hybrid working mode. In this role, you will build, deploy and maintain production-ready machine learning solutions with a strong focus on MLOps practices including CI/CD, model serving, monitoring and robust cloud infrastructure.

Responsibilities

Build and maintain platform components for ML model training, deployment, serving and monitoring
Develop and optimize CI/CD pipelines for machine learning workflows
Implement and support model lifecycle management, including registries and observability tooling
Design and manage scalable, secure deployments using containerization and Kubernetes
Enable secure, reusable and automated workflows to enhance ML developer productivity
Extend platform capabilities to support LLMOps, RAG and agentic AI workloads
Collaborate with engineering teams to improve reliability, automation and operational maturity
Apply governance and compliance standards across AI operations
Participate in presales and client-facing sessions to translate requirements into scalable solutions
Advocate cloud best practices for reliability, scalability and cost optimization

Languages

Work format: Remote
Seniority: Mid
Posted: 29 Sept 2026
Last verified: In the last 5 days

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