or apply directly on NT Concepts's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 12 days NT Concepts's roles stay open a median of 36 days
- Reposted
- No
- Salary listed
- No 0% of NT Concepts's roles list one
- Ghost-job risk at NT Concepts
- high 5 stale, 0 reposted of 11 open
- Hiring momentum
- 16 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from NT Concepts's own greenhouse board since 2026-08-03. Full hiring picture for NT Concepts.
About this role
As a Machine Learning Engineer at NT Concepts, you will design, build, and deploy automated machine learning workflows that support national security operations. Your work will involve taking computer vision models from research to production, collaborating with mission partners, and optimizing ML pipelines using modern tools and practices. You will also focus on integrating ML models into larger systems and ensuring their performance and reliability in production environments.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of NT Concepts as an employer.
What you need
- Active TS/SCI clearance
- Demonstrated professional experience developing, testing, and deploying machine learning models into real-world or production environments
- Strong programming skills in Python
- Hands-on experience with deep learning frameworks (primarily PyTorch, OpenCV, TensorFlow, or NumPy)
- Practical familiarity with containerization (Docker, Kubernetes) and ML lifecycle/pipeline platforms (e.g., MLflow, Kubeflow, AWS SageMaker)
- Familiarity working in cloud environments (AWS, Azure, or GCP) and modern development practices (Git, CI/CD pipelines, Agile methodologies)
Nice to have
- Experience working within secure, air-gapped, or classified cloud environments (e.g., AWS GovCloud / C2S)
- Experience with synthetic data generation techniques or multi-modal models
- Exposure to Large Language Models (LLMs) or generative AI workflows
- Familiarity with distributed model training and GPU resource management.
Worth weighing
- Clearance requirement may limit candidate pool
- Hybrid/Flexible remote options mentioned, but specifics are not detailed
- Compensation range provided, but actual salary will depend on various factors including location and experience
Summarised from NT Concepts's posting. Read the full original.
Listed by NT Concepts on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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