Senior Machine Learning Engineer

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

Job summary

Nyla Technology Solutions in the United States is seeking an experienced Senior Machine Learning Engineer to orchestrate and optimize complex ML workloads. You will design and implement production ML infrastructure and direct LangGraph multi-agent orchestration.

You will oversee automated testing harnesses within sandboxes using MLflow and mentor engineers, contributing to enterprise-scale AI initiatives and secure model operations.

Qualifications

• Architect and deploy scalable ML infrastructure for training, validation, and production deployment.
• Lead development of prompt engineering and multi-agent systems with LangGraph.
• Establish enterprise bias mitigation and statistical verification gates.

Responsibilities

• Architect and lead infrastructure for training, validating, and deploying large-scale ML models to production.
• Technical lead for advanced prompt engineering frameworks and LangGraph multi-agent systems.
• Oversee model lifecycles within isolated data sandboxes using MLflow.
• Mentor engineering teams to sustain innovation and technical excellence.

Job description

*AWAITING FINAL AWARD*

At Nyla, we are proud to deliver solutions that make a real impact! We're seeking an experienced, visionary Senior Machine Learning Engineers to orchestrate and optimize complex machine learning workloads at a fundamental level.

In this role, you will design and implement 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.