Remote Senior ML Engineer Jobs
Remote Senior ML Engineer jobs are in active demand across the U.S., with remote-first firms and distributed engineering teams leading hiring in tech, fintech, and healthcare AI. Employers posting remote senior ml engineer openings right now include Atlassian, Whatnot, and Amgen. Find a role that fits below and apply directly.
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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 JobsRemote Senior ML Engineer Job Market
Who's Hiring
- Atlassian13
- Whatnot7
- Amgen5
- Airbnb5
- BlueFlag LLP5B
Top Industries Hiring
- Technology & Software29
- Hospitality & Tourism6
- Consulting & Professional Services5
- Biotechnology & Pharmaceuticals4
- Banking & Financial Services3
What Employers Look For
The qualifications that appear most often in remote senior ML engineer jobs.
- 5 or more years of hands-on machine learning engineering experience in production environments
- Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or JAX
- Experience designing and deploying end-to-end ML pipelines at scale
- Familiarity with MLOps tooling including experiment tracking, model registries, and CI/CD for models
- Strong understanding of distributed computing and cloud platforms such as AWS, GCP, or Azure
- Graduate degree in computer science, statistics, or a related quantitative field preferred
Tips for Your Remote Senior ML Engineer Job Search
Signal async fluency in your application materials
Remote hiring teams want proof you can collaborate without real-time back-and-forth. Show written design docs, RFC-style project write-ups, or documented experiment results in your portfolio so interviewers can evaluate your thinking before the first call.
Apply early to remote roles that fit
Migrate Mate lists remote senior ml engineer openings from across the U.S. in one place, so you can find roles that match your stack and seniority level and apply directly without sorting through on-site listings mixed in.
Highlight production ML ownership in your resume
Remote teams hire senior ml engineers to own model lifecycles independently. Call out specific systems you took from prototype to production, the MLOps tooling you used, and how you monitored and maintained models post-deployment, not just experiment accuracy.
Prepare for asynchronous technical screenings
Many remote-first companies send take-home ML case studies or ask you to review a model architecture and respond in writing. Practice explaining your reasoning in clear, structured prose, since written communication carries more weight in remote interviews than in on-site loops.
Remote Senior ML Engineer Jobs: Frequently Asked Questions
How do I get a remote senior ml engineer job?
Remote senior ml engineer roles go to candidates who can demonstrate self-direction, clear async written communication, and ownership of end-to-end ML systems without daily oversight. Remote-first companies and distributed teams screen heavily for experience shipping production models, familiarity with tools like MLflow, Weights and Biases, and cloud ML platforms, and the ability to unblock themselves. A strong GitHub portfolio with documented projects and evidence of cross-functional async collaboration gives you a clear edge.
Which companies hire remote senior ml engineers?
Remote senior ml engineer roles are posted by Atlassian, Whatnot, and Amgen and others right now, based on current remote listings on Migrate Mate as of September 2026. These include remote-first tech companies, distributed fintech and healthtech teams, and AI-native startups that hire senior ml engineers entirely outside a central office.
Can you get a remote senior ml engineer job with no experience?
Yes, but remote entry into senior ml engineer roles is harder because remote teams expect independent execution from day one. Remote-first startups and AI product companies are the most open to candidates without formal experience if you can show production-quality personal or open-source ML projects, documented async workflows, and measurable results. A public portfolio with reproducible experiments and clear written documentation does more work than a degree or a prior job title.
Do you need a degree for remote senior ml engineer jobs?
Not always. Remote employers hiring senior ml engineers weigh demonstrated ability to build and deploy models over formal credentials, particularly at remote-first companies where output is the only visible signal. What opens doors is a strong portfolio of shipped ML work, fluency with current frameworks and MLOps tooling, and evidence that you can communicate technical decisions clearly in writing without a manager in the next seat.
Which industries hire the most remote senior ml engineers?
The sectors hiring the most remote senior ml engineers are Technology & Software, Hospitality & Tourism, and Consulting & Professional Services, based on current remote listings on Migrate Mate as of September 2026. These industries rely on distributed engineering teams where senior ml engineers contribute across time zones without needing to be co-located with data infrastructure or product teams.
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