ML Ops Engineer: Build Reliable, Scalable ML Pipelines

CMC Markets; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

Deepstreamtech is seeking an ML Ops Engineer to manage the reliability, scalability, and operational integrity of machine-learning systems in both research and production. In this hands-on role, you will design and maintain data pipelines, implement model monitoring, and work with cross-functional teams to productionize ML models. The ideal candidate should have 3–7 years of experience, strong Python skills, and a solid background in data engineering and ML infrastructure.

Qualifications

• 3–7 years of experience in ML Ops or Data Engineering.
• Strong production Python skills required.
• Experience deploying ML models in production.

Responsibilities

• Own reliability and operational integrity of ML systems.
• Design and operate data pipelines for ML models.
• Implement model monitoring and ensure data quality.

Skills

Production Python skills

Machine learning operational integrity

Data engineering

System design reasoning

Cloud infrastructure

Tools

CI/CD pipelines

Orchestration systems

Job description

Deepstreamtech is seeking an ML Ops Engineer to manage the reliability, scalability, and operational integrity of machine-learning systems in both research and production. In this hands-on role, you will design and maintain data pipelines, implement model monitoring, and work with cross-functional teams to productionize ML models. The ideal candidate should have 3–7 years of experience, strong Python skills, and a solid background in data engineering and ML infrastructure.