AI/ML Engineer
- Salary
- $120k
- Level
- Mid
Not stated in the posting: work type, visa.
Open. First seen 22 October 2026.
About the role
Ignite Digital's standard text
Ignite Digital enables national security agencies to accelerate decisions, elevate operational outcomes and achieve the outsized performance only an inside partner can deliver.
We combine mission experience, domain knowledge and technology expertise with the things partners can only know by being there every day. When agencies need a combination of tech and touch, Ignite Digital creates outcome-driving partnerships and stands with agencies to accomplish mission objectives.
Ignite Digital accelerates capability to the speed of every mission, deploying intelligent solutions and AI integration for faster, better transformation. Ignite delivers partnership beyond presentations to inspire the confidence to lead in a digital-forward world.
Ignite Digital. The Edge from Within.
Perks of Working at Ignite Digital:
- Competitive pay and benefits, including PTO
- Education stipends and referral bonuses
- Compelling work with the U.S. federal government
- Strong emphasis on volunteer and community engagement
- Opportunity to shape the future of our industry
- Supportive colleagues and management who invest in your growth
Ignite Digital is seeking a highly skilled AI/ML Engineer to support a mission-critical U.S. Navy program in the Norfolk, VA area. This individual will design, develop, test, and deploy machine learning models and AI-enabled solutions that directly support operational needs across Navy mission domains. The role requires hands-on machine learning expertise, strong analytical capabilities, and the ability to collaborate across engineering, product, and mission-focused teams.
Key Responsibilities:
- Design, develop, test, and deploy machine learning and AI-driven models to support Navy operational and analytical missions.
- Work with large, complex datasets to build scalable ML pipelines and production-ready solutions.
- Implement ML algorithms and techniques including regression, classification, clustering, and deep learning.
- Conduct data cleaning, analysis, and feature engineering to prepare datasets for training and evaluation.
- Evaluate model performance using appropriate metrics, and iterate to improve accuracy, stability, and efficiency.
- Deploy, monitor, and optimize ML models in production environments.
- Collaborate with cross-functional teams including data scientists, software engineers, and product managers to translate mission requirements into technical specifications.
- Stay current with advancements in AI/ML research, tools, and best practices.
- Document models, pipelines, codebases, and processes to ensure maintainability and knowledge continuity.
- Contribute to the development of ML engineering best practices and reusable frameworks.
Required Skills & Experience:
- Minimum 3 years of hands-on experience developing and deploying machine learning models.
- Expertise in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch.
- Experience with data analysis and visualization tools such as Pandas, NumPy, Matplotlib, and Seaborn.
- Experience working with cloud platforms (AWS, Azure, or GCP) for ML development and deployment.
- Strong understanding of statistics, ML algorithms, and model evaluation techniques.
- Demonstrated ability to solve complex analytical problems and convey technical concepts clearly.
- Strong communication and collaboration skills supporting cross-functional and mission-oriented teams.
Education & Certifications:
- Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related technical field.
- Additional certifications in cloud, ML engineering, or data science are preferred but not required.
Security Clearance:
- Active DoW SECRET clearance required.
Salary: $120k+ to align with education and experience.
Ignite Digital's standard text
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
Ignite Digital is a Small Business committed to providing exceptional service to government agencies at competitive prices. The capabilities and experience of our staff and our extensive industry relationships distinguish Ignite Digital Services among government contractors.
Equal Opportunity Employer/Veterans/Disabled
For individuals who would like to request an accommodation, please visit https://bit.ly/2XqZoLM (CA) or https://bit.ly/3Eo922f (SC) or contact Human Resources. Ignite Digital Services will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal employment opportunity, employment eligibility requirements or related matters. Nor will Ignite Digital Services require, in a posting or otherwise, U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.
Ignite Digital's standard text
OFCCP'S Pay Transparency Rule
EEO is the Law Poster
What this role asks for
Standard for data science / ML roles
Machine Learning · PyTorch · Python
Common in data science / ML postings at any company.
74% of this description is written for the role. The rest is Ignite Digital's standard text, folded away below.
Compared with Ignite Digital's other open jobs.
The team: Market Delivery HIRES STEADILY
This role is one of 40 open in Market Delivery. 27 were posted in the last 30 days and the oldest in April: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
SQL (17 of 40), Power BI (16 of 40), Azure (13 of 40), Python (13 of 40), Machine Learning (11 of 40), AWS (10 of 40), JavaScript (9 of 40)
OTHER ROLES ON THIS TEAM
- Project Manager/ Scrum Master posted Oct 22
- Application Developer posted Oct 22
- Data Visualization Specialist posted Oct 22
- Data Visualization Engineer/ Developer posted Oct 22
- Data Architect posted Oct 22
- Data Governance Analyst posted Oct 22
- Data Governance Manager posted Oct 22
- Senior AI/ML Engineer posted Oct 22
- Senior Data Scientist posted Oct 22
- Data Scientist posted Oct 22
- Analyst IV posted Oct 22
- Analyst III posted Oct 22
- Analyst II posted Oct 22
- Analyst I posted Oct 22
- Project Manager posted Oct 22
- Surface Modernization Data Analyst - Mid posted Oct 20
- Enterprise Information Technology Analyst and Project Manager posted Oct 19
- Sr. Business & Financial Management (BFM) Analyst posted Oct 13
- Data Engineer - Mid-Level posted Oct 13
- Sr. Data Engineer posted Oct 9
- Sr. Power Platform Developer posted Oct 9
- Mid Power Platform Developer posted Oct 9
- Systems Integration Consultant posted Oct 7
- Financial Analyst posted Oct 5
- Data & Technology Architect posted Oct 5
- Scrum Master posted Oct 2
- Power Platform Developer - Mid posted Sep 22
- Senior Power Platform Developer posted Sep 21
- Database Management Analyst III posted Sep 17
- Instructional Systems Specialist posted Sep 10
- Systems Engineer posted Sep 10
- UiPath Solutions Architect / Senior RPA Developer posted Sep 9
- Software Maintenance Subject Matter Expert (SME) posted Jul 23
- Mid Data Scientist posted Jul 22
- Data Analyst posted Jul 22
- Mid Data Engineer posted Jul 22
- Mid AI/ML Engineer posted Jul 22
- Senior Data Engineer posted May 21
- Mid-Level Financial Analyst posted Apr 2
From the team and dates on Ignite Digital's own job board.
Salary context
10 other open postings titled AI/ML Engineer state a salary: median USD 137,500 to USD 231,500 a year.
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