ML Software Engineer Jobs in District of Columbia
ML Software Engineer jobs in District of Columbia are in active demand across Washington and Washington Navy Yard and other District of Columbia metros, including employers like Booz Allen Hamilton, BigBear.ai, and PwC. Scan the live roles below and apply to whichever ones fit.
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Job Type: Full-Time
Clearance Requirement: Active TS/SCI
US Citizenship is Required
Position Overview:
Praescient Analytics is seeking a highly skilled and visionary Lead AI/ML Engineer to support a critical need with the Defense Intelligence Agency (DIA). This critical role provides top-tier technical leadership for advanced Artificial Intelligence, Machine Learning, and Agentic AI development efforts under the agency's Digital Modernization Accelerator (DMA) and CIO Enterprise Services Division (CIO7) initiatives.
The ideal candidate will bridge the gap between breakthrough AI experimentation and robust operationalization, ensuring that all deployed models conform to rigorous Intelligence Community standards while driving the deployment of next-generation human-machine teaming capabilities.
Core Responsibilities:
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Technical Leadership & Architecture: Lead the design, prototyping, development, and operationalization of enterprise-wide AI/ML capabilities, with a particular focus on advanced generative AI and agentic artificial intelligence systems.
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Lifecycle Management (MLOps): Establish and maintain a secure, scalable, and standardized AI/ML Operations environment that handles the entire lifecycle from data curation and preparation through automated deployment and continuous model retraining.
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Compliance & Model Governance: Ensure all AI/ML models, training pipelines, and algorithms strictly meet the accreditation criteria mandated by the DIA Quality Assurance Framework (QAF) and relevant ethical AI directives (e.g., Memo U-23-0491/DI).
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Assurance & Validation: Lead model validation, adversarial robustness testing, explainability evaluations, and bias detection analysis to safeguard the integrity of intelligence capabilities.
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Cross-Functional Collaboration: Serve as the primary technical interface between data scientists, software engineers, DevSecOps teams, and mission analysts to translate complex technical architectures into analytic tradecraft solutions.
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Innovation & Research: Stay at the forefront of emerging AI breakthroughs (such as transformer architectures and complex reasoning agents) and formulate proactive recommendations to address complex national security challenges.
Minimum Qualifications:
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Clearance: Must possess an active federal TS/SCI clearance.
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Education: An advanced degree (Master’s or PhD preferred) in Computer Science, Data Science, Mathematics, or a highly related technical field.
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Experience: Demonstrated senior-level experience leading end-to-end AI/ML implementation projects and engineering robust, secure AI operations (MLOps) infrastructure in federal or secure environments.
Preferred Qualifications:
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Years of Experience: 13+ years of specialized experience designing, developing, and embedding advanced neural networks or predictive statistical modeling into production software.
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Technical Domain Expertise: Proven experience with state-of-the-art transformer architectures, large language models (LLMs), reinforcement learning, and building complex agentic systems.
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DIA Framework Knowledge: Deep familiarity with DIA QAF compliance, model security verification, and the transition of pipelines into cloud-native Platform as a Service (PaaS) or containerized architectures (Kubernetes/OpenShift).
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Security & Adversarial Defence: Demonstrated experience implementing zero-trust concepts within data architectures and engineering defenses against model poisoning, membership inference, data exfiltration, or adversarial manipulation.
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Thought Leadership: Published peer-reviewed research or widely recognized technical contributions to the broader defense/intelligence AI/ML community.
What You Can Expect From Us:
- Real opportunity for career growth in an environment where your achievements will be celebrated
- Constant collaboration with numerous teams to ensure client success
- A team that respects and embraces your ideas and expertise
- Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
- A workplace dedicated to supporting and bettering public safety and government agencies
- Very competitive salary based on qualifications and experience
- Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
- 401(k) with company match
- Travel & performance incentives
- 3 weeks paid time off (plus Federal Holidays)
- $5K annual training allowance
Our team of experts—skilled in cloud computing, artificial intelligence, machine learning, data science, DevOps, and engineering—brings deep experience in solving complex challenges. With a proven track record in federal contracting, we deliver tailored, high-impact solutions designed to enhance operational efficiency, ensure mission success, and address the evolving needs of our clients. Praescient's innovative and adaptive approach makes us a trusted partner in delivering data-driven insights and technological excellence for critical missions.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.
See All 56 ML Software Engineer Jobs in District of Columbia
Find roles in District of Columbia that match your experience and apply in just a few clicks.
Find ML Software Engineer JobsML Software Engineer Jobs by City in District of Columbia
Where District of Columbia roles are concentrated, by current openings.
ML Software Engineer Job Market in District of Columbia
A snapshot from current District of Columbia openings, updated as new roles post.
Who's Hiring
- Booz Allen Hamilton13

- BigBear.ai3

- PwC2

- DoorDash2

- Guidehouse2G
Top Industries Hiring
- Consulting & Professional Services18
- Technology & Software6
- Construction & Real Estate2
- Telecommunications1
- Accounting & Auditing1
What District of Columbia Employers Look For
The qualifications that appear most often in ML software engineer jobs across District of Columbia.
- Proficiency in Python and at least one major ML framework such as PyTorch or TensorFlow
- Experience designing, training, and deploying machine learning models in production environments
- Familiarity with MLOps practices including experiment tracking, model versioning, and CI/CD pipelines
- Strong foundations in statistics, probability, and linear algebra relevant to model development
- Bachelor's or master's degree in computer science, electrical engineering, or a related quantitative field
- Experience with cloud platforms such as AWS, Google Cloud, or Azure for scalable model serving
ML Software Engineer Jobs in District of Columbia: Frequently Asked Questions
How many ML software engineer jobs are there in District of Columbia?
There are 56+ ML software engineer openings in District of Columbia on Migrate Mate as of June 2026, with the most roles in Washington and Washington Navy Yard. New positions post regularly as employers across District of Columbia hire.
How much do ML software engineers make in District of Columbia?
ML software engineers in District of Columbia earn a median of about $136,880 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $85,140 for the lowest 10% to over $197,000 for the top 10%. Pay rises with experience, specialty, and employer.
Which District of Columbia cities have the most ML software engineer jobs?
Washington and Washington Navy Yard have the most ML software engineer openings in District of Columbia right now, with additional roles spread across smaller metros statewide.
Which companies hire ML software engineers in District of Columbia?
District of Columbia ML software engineer roles are posted by Booz Allen Hamilton, BigBear.ai, and PwC and others right now, based on current listings on Migrate Mate as of June 2026.
Are there remote ML software engineer jobs in District of Columbia?
Yes. About 11% of ML software engineer openings tied to District of Columbia are remote or hybrid as of June 2026. The rest are on-site roles based in District of Columbia metros.
How do I apply for ML software engineer jobs in District of Columbia?
You can apply to ML software engineer jobs in District of Columbia directly on Migrate Mate. Search the listings above, find roles that match your experience and preferred District of Columbia location, then apply to each one that fits.
See All 56 ML Software Engineer Jobs in District of Columbia
Find roles in District of Columbia that match your experience and apply in just a few clicks.
Find ML Software Engineer Jobs