AI/ML Engineer (Clearance Required) at Noblis
Reston, VA
$109,800–$171,525from the description
Jul 13, 2026
Reston, VA
Jul 21, 2026
What this job asks for AI summary
This role centers on building and operating machine learning systems in classified national security environments, covering the full arc from model development to production deployment. Day-to-day work spans containerizing and serving ML models, managing Kubernetes-based workloads, architecting AWS cloud infrastructure, and maintaining MLOps pipelines. It suits an engineer with hands-on production ML experience who holds an active TS/SCI clearance with Polygraph.
Mid level · 3+ years · National · TS/SCI clearance · Full-time
“or” means any one of them counts — you don't need all of them.
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
The role is a genuine hybrid between ML/AI engineering (15-2051) and full-stack software development (15-1252). The primary framing is model development, deployment, and MLOps, which tips toward 15-2051, but the full-stack Python/JavaScript requirement and infrastructure build-out are strong 15-1252 signals.
No specific work location is stated in the posting. The note that 'remote/hybrid status is subject to change based on Noblis and/or government requirements' and the TS/SCI with Polygraph requirement strongly imply an on-site classified facility, so remote is set to false.
The degree requirement accepts multiple combinations (Bachelor's + 3 yrs, Master's + 1 yr, Associate's + 6 yrs, or HS diploma + 9 yrs), so no single minimum degree is hard-gated; degree requirement is set to None and the overall years minimum reflects the lowest experience threshold (3 years with a Bachelor's).
FastAPI and Ray appear in the responsibilities/narrative section describing the tech stack rather than in the formal Required Qualifications block, so they are marked preferred.
The Desired Qualifications section lists scikit-learn, AWS SageMaker/Azure ML/Vertex AI, MLflow/W&B/DVC, Apache Spark/Dask, and CI/CD — all marked preferred accordingly.
Requires a TS/SCI clearance — the cleared population is a small fraction of this occupation, so the real candidate pool is materially smaller than the estimate below, which does not model clearance.
Read the full posting
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