MLOps Engineer

About the Position

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. You will also contribute to extending these capabilities toward LLMOps and agentic AI workflows, enabling areas such as LLM applications, RAG pipelines, model evaluation, and observability for enterprise environments.

The position involves close collaboration with engineering and data science teams as well as advisory engagement with clients on best practices in AI infrastructure and operational scalability. This is an opportunity to deliver impactful AI capabilities while working at the intersection of modern AI and enterprise systems.

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

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related discipline
• Experience in delivering machine learning or MLOps systems into production environments
• Proficiency in Python for building services, APIs, scripts, and CI/CD automation
• Working knowledge of modern MLOps stacks including experiment tracking and artifact management
• Hands-on experience with orchestration tools (e.g., Kubeflow, Apache Airflow, Metaflow, or Prefect)
• Demonstrated skills with Docker, Kubernetes, and distributed deployments
• Practical knowledge of Infrastructure-as-Code (Terraform) and a major cloud provider (AWS, Azure, or GCP)
• Familiarity with ML model serving, scaling, and monitoring frameworks in production
• Strong communication skills to convey technical decisions and engage with clients effectively

Nice to Have

• Background deploying Generative AI solutions, LLM inference pipelines, or agentic AI systems
• Experience with feature stores, vector databases, and retrieval-augmented generation approaches
• Knowledge of AI governance, security, and compliance for regulated sectors
• Familiarity with advanced observability and tracing solutions, such as OpenTelemetry or Langfuse
• Consulting or enterprise architecture experience in large-scale AI programs
• Understanding of FinOps strategies for managing GPU/CPU costs in cloud environments
• Certifications in cloud technologies (AWS, Azure, GCP) or Kubernetes (CKA/CKAD)
• Expertise in securing and operationalizing ML/LLM/agent-based systems for enterprise readiness

We Offer

• EPAM Employee Stock Purchase Plan (ESPP)
• Protection benefits including life assurance, income protection, and critical illness cover
• Private medical insurance and dental care
• Employee Assistance Program
• Competitive group pension plan
• Cyclescheme, Techscheme, and season ticket loans
• Various perks such as free Wednesday lunch in-office, on-site massages, and regular social events
• Learning and development opportunities including in-house training and coaching, professional certifications, and courses
• If otherwise eligible, participation in the discretionary annual bonus program
• If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program

All benefits and perks are subject to certain eligibility requirements

About the Company

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