Staff MLOps Engineer

Velocity Tech has partnered with a high-growth US tech startup that’s scaling its ML function.

They’re hiring a Staff MLOps Engineer on a fully remote basis. This role suits a self-starter who communicates clearly and takes ownership from day one.

Please note: sponsorship is not available at this time.

Responsibilities

• Build MLOps platforms and tooling that enable end-to-end model ownership.
• Design and operate production ML pipelines for training, deployment, and monitoring.
• Work cross-functionally to deploy models into real-time systems.
• Define MLOps standards across CI/CD, automation, and reproducibility.
• Own model governance, including versioning, lineage, and safe releases.
• Manage cloud-native ML infrastructure and orchestration.
• Evaluate and adopt new MLOps technologies to improve speed and reliability.

Requirements

• MS or PhD in a relevant technical discipline.
• 8+ years in production ML systems or 5+ years in hands-on MLOps roles.
• Strong Python engineering skills and production best practices.
• Experience with ML infrastructure, CI/CD, orchestration (Airflow/Prefect), and monitoring.
• Hands-on cloud experience.
• Knowledge of Docker, APIs, streaming systems, and deployment patterns.
• Experience with feature stores, vector databases, or embedding pipelines.
• Familiarity with experimentation frameworks and real-time inference at scale.