Velocity Tech · 1 day ago
Staff MLOps Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
5+ years expVelocity Tech has partnered with a high-growth US tech startup that’s scaling its ML function, and they are 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, focusing on building MLOps platforms and tooling for model ownership and production ML pipelines.
Staffing & Recruiting
No H1B
Hiring Manager
Jack Clement
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
Qualification
Required
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
Company
Velocity Tech
Velocity Tech are forward-thinking talent acquisition partners specialising in recruiting strategies for AI/Data, Software Engineering, Cloud and Infrastructure and Security.
2-10 employees
Funding
Current Stage
Early StageLeadership Team
Nathan Davis
Co-Founder
Company data provided by crunchbase