Remote AI ML Engineering Jobs
Remote AI ML Engineering jobs are open across the U.S. at remote-first firms, distributed tech teams, and enterprise companies in software, finance, healthcare, and research. Employers actively hiring remote ai ml engineerings include Truveta, Meridial, and Lockheed Martin. Scan the live roles below and apply to whichever ones fit.
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US Based Position. Must be US Citizen.
Location: Arlington VA(U.S.-based). Remote Work Allowed in US.
Employment Type: Full-Time
Company: Technology & Business Management, Inc. (TBM Inc.)
Experience Level
8+ years in security analytics/SIEM engineering with 4+ years of advanced Splunk engineering; hands-on dashboarding, SPL, alerting, data onboarding, and automation required.
Position Summary
Own DLP telemetry, analytics, dashboards, alerting, automation, and measurable optimization in Splunk, while supporting Government-approved SOAR/RPA and bounded AI/ML use cases.
Key Responsibilities
Engineer and maintain Splunk ingestion, normalization, searches, dashboards, reports, alerts, health metrics, event-volume trends, and operational/executive DLP reporting.
Develop SPL queries and documented calculations that Government personnel can reproduce and sustain.
Integrate telemetry from Symantec/Broadcom, Purview, Palo Alto, and other authorized DLP/security platforms.
Design automated notifications, alerts, alarms, and Government-authorized SOAR/RPA workflows to reduce manual triage and improve response.
Support event correlation, incident analytics, severity/prioritization, trend analysis, and detection-performance measurement.
Evaluate approved AI/ML-enabled capabilities to reduce false positives, identify notable events, improve triage, and reduce analyst workload; establish baseline/candidate comparisons and rollback criteria.
Track metrics such as false positives, false negatives where measurable, alert volume, time-to-triage/disposition, stability, workload, and business impact.
Document data definitions, dashboard maintenance, automation logic, model/configuration tuning, test evidence, limitations, procedures, and Government training.
Required / Critical Skills
Splunk Enterprise / Splunk ES; SPL; dashboards; data models; alerts; field extraction; ingestion/onboarding; CIM; APIs; security analytics; incident correlation.
Splunk SOAR or comparable orchestration/automation; Python or scripting; REST APIs; JSON; data normalization.
Understanding of DLP events/policies, SOC workflows, detection engineering, false-positive reduction, and security KPIs.
Practical AI/ML analytics knowledge with emphasis on explainability, human review, validation, privacy/security controls, and measurable benefit rather than custom model research.
Splunk Core Certified Power User/Admin/Architect or Splunk Enterprise Security certification strongly preferred.
Preferred Qualifications
Experience with Qmulos, federal continuous monitoring/FISMA reporting, or large federal Splunk environments.
Experience integrating DLP products into SIEM/SOAR workflows.
Current Public Trust/MBI or clearance.
Education
Bachelor’s degree in Cybersecurity, Information Technology, Computer Science, Engineering, Information Systems, or a related field is preferred. Equivalent directly relevant experience and advanced industry certifications may be considered, subject to the applicable contract labor-category requirements.
Federal Suitability / Security
Candidate must be able to meet IRS personnel-security and suitability requirements for the position, including the applicable background investigation and required security/privacy training. A current favorably adjudicated federal Public Trust/MBI or other investigation that may qualify for reciprocity is highly desirable.
What Will Make a Candidate Stand Out
Direct hands-on experience with the named platform(s), not only governance or oversight.
Recent enterprise production experience supporting sensitive or regulated information.
Ability to explain specific examples of troubleshooting, policy/rule tuning, testing, incident support, measurable improvement, and documentation.
Federal customer experience and demonstrated ability to work within controlled access, change, audit, and documentation processes.
Ability to become productive quickly and communicate effectively with both engineers and Government stakeholders.
Why Join TBM Inc.
- Support high-impact federal missions
- Work on strategic IT modernization programs
- Join a fast-growing federal consulting firm
- Collaborate with experienced government and industry leaders
- Opportunity to grow into senior consulting and portfolio management roles
How to Apply
Interested candidates should apply via Indeed with their resume. Qualified applicants will be contacted for next steps.
TBM Inc. is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, disability, or veteran status.
Job Type: Full-time
Pay: $145,000.00 - $155,000.00 per year
Benefits:
- 401(k)
- 401(k) matching
- Dental insurance
- Employee assistance program
- Employee discount
- Flexible schedule
- Flexible spending account
- Health insurance
- Health savings account
- Life insurance
- Paid time off
- Professional development assistance
- Referral program
- Retirement plan
- Tuition reimbursement
- Vision insurance
Work Location: Remote
See All 29 Remote AI ML Engineering Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote AI ML Engineering JobsRemote AI ML Engineering Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Consulting & Professional Services
What Employers Look For
The qualifications that appear most often in remote AI ML engineering jobs.
- Proficiency in Python and at least one major ML framework such as PyTorch or TensorFlow
- Experience building, training, and deploying machine learning models in production environments
- Strong understanding of statistics, probability, and core machine learning algorithms
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure for model serving
- Experience with data pipelines, feature engineering, and large-scale data processing tools
- Bachelor's or master's degree in computer science, mathematics, statistics, or a related field
Tips for Your Remote AI ML Engineering Job Search
Build a remote-ready ML portfolio
Publish reproducible notebooks, model cards, and experiment logs that teammates could follow without asking you a single question. Remote hiring managers use your public work to judge how well you communicate technical decisions asynchronously, which matters as much as the model results themselves.
Apply early to remote roles that fit
Migrate Mate lists remote ai ml engineering openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sifting through listings from a dozen different sources.
Showcase async collaboration tools you know
Call out hands-on experience with tools like Weights and Biases, MLflow, or shared Jupyter environments in your application materials. Remote ai ml engineering teams run experiments asynchronously, and familiarity with experiment-tracking and model-registry workflows signals you can contribute without constant synchronous check-ins.
Prepare for remote technical screening formats
Many distributed teams use take-home design challenges or live shared-notebook sessions instead of whiteboard interviews. Practice explaining your modeling decisions in writing and walking through code in a shared environment, since remote interviewers evaluate both your reasoning and your ability to communicate it clearly without in-person cues.
Remote AI ML Engineering Jobs: Frequently Asked Questions
How do I get a remote ai ml engineering job?
Target companies that already run distributed engineering teams, since they have the infrastructure and culture to onboard ai ml engineerings remotely. Remote hiring managers screen heavily for async written communication, self-directed project management, and the ability to document experiments clearly for teammates in different time zones. Strong GitHub repositories, reproducible ML pipelines, and experience with cloud-based training infrastructure give candidates a concrete edge over applicants with similar credentials but no remote-ready portfolio.
Which companies hire remote ai ml engineerings?
Employers currently hiring remote ai ml engineerings include Truveta, Meridial, and Lockheed Martin, per current remote listings on Migrate Mate as of September 2026. Remote-first technology companies, distributed software product teams, and enterprises in healthcare AI and fintech tend to hire this role remotely most consistently.
Can you get a remote ai ml engineering job with no experience?
Yes, but remote entry-level ai ml engineering roles are harder to land because employers expect you to ramp up independently from day one without in-person mentorship. The most effective substitutes for experience are public Kaggle competition results, open-source model contributions, and documented personal projects that demonstrate end-to-end pipeline ownership. Contract or freelance ML work for small startups can also open doors when a full-time remote offer feels out of reach.
Do you need a degree for remote ai ml engineering jobs?
Not always. Many remote employers in this field weigh demonstrated technical ability over formal credentials, particularly at companies that hire globally distributed talent and rely on skills assessments rather than credential screening. A strong portfolio showing model training, evaluation, and deployment work carries real weight, and candidates with relevant certifications in deep learning, MLOps, or cloud AI platforms frequently compete successfully against degree holders.
Which industries hire the most remote ai ml engineerings?
Remote ai ml engineering roles concentrate in Technology & Software and Consulting & Professional Services, based on current remote listings on Migrate Mate as of September 2026. Those sectors hire ai ml engineerings remotely because their products and data infrastructure are cloud-native, making distributed team collaboration a practical default rather than an exception.
See All 29 Remote AI ML Engineering Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote AI ML Engineering Jobs