Lead Machine Learning Engineer

Nyla Technology Solutions; Arlington (VA); On-site; USD 220,000 - 250,000; Full time

Job summary

Nyla Technology Solutions in Arlington, Virginia, seeks an experienced Lead Machine Learning Engineer to guide the team and architect production ML infrastructure for enterprise-scale analytics.

You will drive prompt engineering, LangGraph multi-agent orchestration, and MLflow-managed model lifecycles in isolated data sandboxes, shaping DoW CDAO data analytics capabilities and enterprise verification gates.

Responsibilities

• Architect and lead the implementation of infrastructure for training, validating, and deploying large-scale machine learning models into production.
• Technical lead for advanced prompt engineering frameworks and multi-agent systems via LangGraph to support automated analytical tasks.
• Oversee model lifecycles within isolated data sandboxes using MLflow, establishing enterprise bias mitigation and statistical verification gates.
• Provide technical mentorship and guidance to engineering team members to ensure continuous innovation and technical excellence.

Job description

*AWAITING FINAL AWARD*

At Nyla, we are proud to deliver solutions that make a real impact! We are seeking an experienced, visionary Lead Machine Learning Engineer to guide our team and orchestrate complex machine learning workloads at a fundamental level.

In this role, you will lead the design and implementation of production ML infrastructure, mentor technical talent, drive complex prompt engineering, and direct LangGraph multi-agent orchestration. You’ll oversee automated Agent Test and Evaluation (T&E) harnesses while managing model lifecycles within isolated data sandboxes using MLflow.You will be building "enterprise capabilities" within the Department of War's authoritative data analytics platform (War Data Platform) for the Chief Digital and AI Officer (DoW CDAO). If you are passionate about leading AI innovation, establishing statistical verification gates, and pushing technology boundaries, we’d love to connect!

Key Responsibilities:

• Architect and lead the implementation of infrastructure for training, validating, and deploying large-scale machine learning models into production.
  
  
  

  • Technical lead for advanced prompt engineering frameworks and multi-agent systems via LangGraph to support automated analytical tasks.

  
  

  • Oversee model lifecycles within isolated data sandboxes using MLflow, establishing enterprise bias mitigation and statistical verification gates.

  
  

  • Provide technical mentorship and guidance to engineering team members to ensure continuous innovation and technical excellence.

  
  
  
  

The annual base salary range for this role is $220,000-$250,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.