Machine Learning Engineer

GW363
  • $160,000-$210,000
  • Washington, DC
  • Permanent

About the job


Machine Learning Engineer (TS/SCI Clearance) – Washington DC


A fast-growing AI and analytics software company helping government and enterprise organizations transform complex data into clear, actionable insight are looking for a Machine Learning Engineer to join their team. 


What Will I Be Doing:


  • Designing, deploying, and optimising scalable machine learning systems
  • Owning the end-to-end ML lifecycle, from data exploration to production deployment
  • Building data pipelines and integrating models into production environments
  • Working with sensitive data in secure (SCIF) environments and collaborating with cross-functional teams


What We’re Looking For


  • Active TS/SCI clearance and willingness to work within a SCIF
  • 3+ years’ experience building and deploying ML models in production
  • Strong Python skills and experience with the ML/data stack (pandas, NumPy, scikit-learn, PyTorch)
  • Experience with data pipelines, MLOps, and production systems
  • Familiarity with Docker/Kubernetes, Git, and SQL/NoSQL databases
  • Strong problem-solving skills; cyber or defence data experience is a plus


What’s In It for Me:


  • Salary of $160,000 – $210,000 depending on experience
  • Comprehensive benefits including full health coverage and flexible PTO
  • Opportunity to work on high-impact, mission-critical AI problems
  • Hybrid setup - ~1 day per week in-office, remainder remote


Apply now for immediate consideration!


Kirstie Moffat ML Research & Engineering Recruiter

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