MLOps Engineer – Hybrid AI Infra & LLMOps

EPAM Systems, Inc.; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Employee Stock Purchase Plan (ESPP)

Private medical insurance

Dental care

Cycle scheme

Job summary

EPAM Systems, Inc. in London is seeking an MLOps Engineer to build, deploy and maintain production-ready ML solutions with strong CI/CD and cloud infrastructure focus. You will work on ML lifecycle tooling, model serving, monitoring and extend capabilities toward LLMOps, RAG and agentic AI workflows.

You will collaborate with engineering and data science teams, engage clients on AI infrastructure best practices, and contribute to scalable, secure deployments in a hybrid work model.

Qualifications

• Bachelor’s or Master’s degree in CS, Engineering or related discipline.
• Experience delivering ML/MLOps systems into production environments.
• Proficiency in Python for building services, APIs, scripts and CI/CD automation.

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.

Skills

Python

MLOps

CI/CD

Distributed systems

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science or related field

Tools

Docker

Kubernetes

Terraform

Kubeflow

Apache Airflow

Metaflow

Prefect

OpenTelemetry

Job description

EPAM Systems, Inc. in London is seeking an MLOps Engineer to build, deploy and maintain production-ready ML solutions with strong CI/CD and cloud infrastructure focus. You will work on ML lifecycle tooling, model serving, monitoring and extend capabilities toward LLMOps, RAG and agentic AI workflows.

You will collaborate with engineering and data science teams, engage clients on AI infrastructure best practices, and contribute to scalable, secure deployments in a hybrid work model.