Remote ML Engineer Jobs
Remote ML Engineer jobs are in active demand across the U.S., with remote-first companies and distributed engineering teams hiring for roles in tech, finance, and healthcare. Employers hiring remote ml engineers right now include Atlassian, Whatnot, and BV Teck. 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
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Find Remote ML Engineer JobsRemote ML Engineer Job Market
Who's Hiring
- Atlassian14
- Whatnot7
- BV Teck6
- Amgen5
- Airbnb5
Top Industries Hiring
- Technology & Software31
- Automotive7
- Hospitality & Tourism6
- Consulting & Professional Services6
- Banking & Financial Services3
What Employers Look For
The qualifications that appear most often in remote ML engineer jobs.
- Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
- Experience building and deploying models in cloud environments like AWS, GCP, or Azure
- Familiarity with MLOps tools and practices including CI/CD pipelines for model deployment
- Strong foundation in statistics, linear algebra, and machine learning fundamentals
- Experience with data processing tools such as Spark, SQL, or distributed computing platforms
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
Tips for Your Remote ML Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote ml engineer openings from across the U.S. in one place, so you can find roles that match your stack and apply directly. Remote postings at in-demand companies often fill fast, so checking frequently and applying promptly matters.
Show async communication in your application
Remote ml engineer teams rely on written documentation and async updates over Slack, Confluence, or Notion. Your cover letter and any take-home assessments should demonstrate that you can explain model decisions, tradeoffs, and experiment results clearly in writing, without a meeting.
Make your ML portfolio remote-readable
Remote employers review your GitHub or portfolio before a call, not during one. Structure your repositories with clear READMEs, reproducible notebooks, and documented results so a hiring manager can follow your thinking independently, without asking follow-up questions.
Prepare for remote-specific technical screens
Remote ml engineer interviews often include a take-home or async coding assessment rather than a live whiteboard. Practice writing clean, well-commented model code you could hand off to a teammate who will read it cold, since that mirrors how distributed teams actually work.
Remote ML Engineer Jobs: Frequently Asked Questions
How do I get a remote ml engineer job?
Target companies that run distributed engineering teams, since those employers already know how to onboard and manage ml engineers remotely. Remote hiring managers screen hard for self-direction, clear async written communication, and hands-on experience with MLflow, DVC, or similar experiment-tracking tools. A public GitHub with documented projects or a portfolio showing model development end-to-end will give you a concrete edge over candidates who only list skills.
Which companies hire remote ml engineers?
Companies hiring remote ml engineers right now include Atlassian, Whatnot, and BV Teck, based on current remote listings on Migrate Mate as of September 2026. Remote ml engineer roles are concentrated at remote-first tech firms, AI-native startups, and distributed enterprise teams in sectors like software, fintech, and healthcare.
Can you get a remote ml engineer job with no experience?
Yes, but remote entry-level ml engineer roles are harder to land because employers expect you to troubleshoot independently without on-site support. Your best path is through AI-native startups and research-oriented companies that value demonstrated ability over tenure. A documented Kaggle competition, an open-source contribution, or a self-built end-to-end ML project hosted publicly shows remote employers you can deliver without hand-holding.
Do you need a degree for remote ml engineer jobs?
Not always. Many remote employers weigh demonstrated ML skills, shipped projects, and familiarity with production tooling, such as PyTorch, Kubernetes, or cloud ML platforms, alongside or instead of a formal degree. Roles at research-heavy or enterprise companies tend to prefer a graduate degree, while remote-first startups and product teams often prioritize what you have built and deployed.
Which industries hire the most remote ml engineers?
The sectors hiring the most remote ml engineers are Technology & Software, Automotive, and Hospitality & Tourism, based on current remote listings on Migrate Mate as of September 2026. These industries favor remote ml engineers because their teams are already distributed globally and their data pipelines and model workflows run entirely in cloud environments.
See All 240+ Remote ML Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote ML Engineer Jobs