Machine Learning Engineer
GW363
Posted: 23/03/2026
- $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