ML Ops Engineer - Clearance Required

About this role

Overview
LMI is seeking an ML Ops Engineer to support the operationalization, sustainment, and continuous improvement of computer vision models used on autonomous edge platforms for a Special Operations customer.


This role is responsible for the lifecycle management of machine learning models that operate onboard disconnected edge systems in tactical environments. A successful ML Ops Engineer ensures models remain accurate, testable, versioned, and safely deployable without requiring operators to be AI experts.


This position bridges field operations, data science, and autonomy software to ensure models improve over time without degrading mission performance or introducing unsafe behavior.


This position requires an active Secret clearance.
LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.


Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.


Responsibilities
Solution Design:


Design the ML lifecycle for computer vision models operating on edge platforms


Establish model versioning, validation, and deployment patterns suitable for disconnected tactical environments


Develop guardrails to ensure autonomy behavior remains predictable and auditable


Create architectures for collecting operational data and feeding it back into retraining pipelines


Development...