Remote Machine Learning Manager Jobs
Remote Machine Learning Manager jobs are open across technology, finance, and healthcare at remote-first companies and distributed teams, from senior individual-contributor-to-manager transitions to director-level ML leadership roles. Employers hiring remotely right now include Atlas Technologies, Atlassian, and Lockheed Martin. Find a role that fits below and apply directly.
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Showing 5 of 191+ Remote Machine Learning Manager jobs
Standard Job Description
This Advanced Solutions AI/ML Engineering Sr Manager will lead the definition and build-out of the organization's AI-Driven Software Development Lifecycle (AI-SDLC) capability. This is an AI-accelerated software engineering and development stack will cover the full lifecycle from requirements, design, code generation, testing, security, deployment, and sustainment. The role has two goals: make software delivery much faster and more automated to lower software total cost of ownership, and accelerate a strategy to move the organization from buying commercial software (COTS) and SaaS tools to building its own, retiring recurring license and subscription costs. The leader will manage a multi-team organization of ML, software, and MLOps/platform engineers, including subordinate managers. They will set the direction for technology selection, and make sure AI-generated software meets the LM security, safety, and certification requirements. They will also own the multi-year vision, budgets, and KPIs, working in partnership with Finance, Procurement, Legal, Applications, Cybersecurity, and Program leadership and advising senior leadership on long-range technology investment.
Leads those who serve as the experts for AI and autonomous systems and works with the Systems Engineering to provide the next generation of AI/ML solutions, including and not limited to inferencing, compute, storage as well as controls and systems safety. They support the team with integrating AI/ML with software and infrastructure systems, human-in-the-loop interfaces, and preparations for autonomous systems for certification and deployment. Leads those who research, identify and recommend appropriate software and infrastructure components for autonomous software systems to enable controls, observability, and compliance; Applies appropriate standards, processes, procedures and tools throughout the system development life cycle to support software systems; Qualifies and tests developed software and test plans, procedures, systems.
Desired Skills
Technical leader skills
Hands-on work with LLMs, agentic AI frameworks, skills, harnesses, fine-tuning, and model evaluation.
Familiarity with AI coding assistants and agentic development tools.
Experience with Lockheed Martin's LLM provider platforms, including the LAIC/Genesis and AWS Bedrock
Experience with containers and orchestration (e.g., Kubernetes), and with cloud, on-premises, and air-gapped deployments.
Experience building internal developer platforms and integrated CI/CD, test automation, and secure software supply chain tooling (e.g., SBOMs, vulnerability triage).
Knowledge of regulated or safety-critical software standards including Lockheed Martin's internal software development standards and guidelines
Leadership skills
A record of driving innovation, technology adoption and change management across the enterprise.
Strong communication with executives, including presenting strategy and investment recommendations to senior leadership and customers.
Building centers of excellence, communities of practice, and a culture of innovation and accountability.
Basic Qualifications
A bachelor’s degree in computer science, Computer/Electrical Engineering, Data Science, Mathematics, or a related STEM field with relevant professional experience.
People leadership experience, including managing managers or technical leads.
Experience leading the delivery of production AI/ML systems and solutions, including LLM-based or generative AI applications.
Experience leading software engineering and development organizations across the full software development lifecycle, including CI/CD and Dev/Sec/Ops practices.
Experience building business cases and managing budgets, including alternatives analysis such as build-vs-buy or cost-reduction work.
Pay Information
GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.
-
Full-time salary range (GEOZONE 1): $228100.00 - $423700.00
- Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.
-
Full-time salary range (GEOZONE 2): $205300.00 - $381300.00
- Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
-
Full-time salary range (GEOZONE 3): $182500.00 - $338900.00
- Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
-
Full-time salary range (GEOZONE 4): $164200.00 - $305000.00
- Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc.
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only.
Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
- Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
- For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
Standard Job Description
This Advanced Solutions AI/ML Engineering Sr Manager will lead the definition and build-out of the organization's AI-Driven Software Development Lifecycle (AI-SDLC) capability. This is an AI-accelerated software engineering and development stack will cover the full lifecycle from requirements, design, code generation, testing, security, deployment, and sustainment. The role has two goals: make software delivery much faster and more automated to lower software total cost of ownership, and accelerate a strategy to move the organization from buying commercial software (COTS) and SaaS tools to building its own, retiring recurring license and subscription costs. The leader will manage a multi-team organization of ML, software, and MLOps/platform engineers, including subordinate managers. They will set the direction for technology selection, and make sure AI-generated software meets the LM security, safety, and certification requirements. They will also own the multi-year vision, budgets, and KPIs, working in partnership with Finance, Procurement, Legal, Applications, Cybersecurity, and Program leadership and advising senior leadership on long-range technology investment.
Leads those who serve as the experts for AI and autonomous systems and works with the Systems Engineering to provide the next generation of AI/ML solutions, including and not limited to inferencing, compute, storage as well as controls and systems safety. They support the team with integrating AI/ML with software and infrastructure systems, human-in-the-loop interfaces, and preparations for autonomous systems for certification and deployment. Leads those who research, identify and recommend appropriate software and infrastructure components for autonomous software systems to enable controls, observability, and compliance; Applies appropriate standards, processes, procedures and tools throughout the system development life cycle to support software systems; Qualifies and tests developed software and test plans, procedures, systems.
Desired Skills
Technical leader skills
Hands-on work with LLMs, agentic AI frameworks, skills, harnesses, fine-tuning, and model evaluation.
Familiarity with AI coding assistants and agentic development tools.
Experience with Lockheed Martin's LLM provider platforms, including the LAIC/Genesis and AWS Bedrock
Experience with containers and orchestration (e.g., Kubernetes), and with cloud, on-premises, and air-gapped deployments.
Experience building internal developer platforms and integrated CI/CD, test automation, and secure software supply chain tooling (e.g., SBOMs, vulnerability triage).
Knowledge of regulated or safety-critical software standards including Lockheed Martin's internal software development standards and guidelines
Leadership skills
A record of driving innovation, technology adoption and change management across the enterprise.
Strong communication with executives, including presenting strategy and investment recommendations to senior leadership and customers.
Building centers of excellence, communities of practice, and a culture of innovation and accountability.
Basic Qualifications
A bachelor’s degree in computer science, Computer/Electrical Engineering, Data Science, Mathematics, or a related STEM field with relevant professional experience.
People leadership experience, including managing managers or technical leads.
Experience leading the delivery of production AI/ML systems and solutions, including LLM-based or generative AI applications.
Experience leading software engineering and development organizations across the full software development lifecycle, including CI/CD and Dev/Sec/Ops practices.
Experience building business cases and managing budgets, including alternatives analysis such as build-vs-buy or cost-reduction work.
Pay Information
GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.
-
Full-time salary range (GEOZONE 1): $228100.00 - $423700.00
- Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.
-
Full-time salary range (GEOZONE 2): $205300.00 - $381300.00
- Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
-
Full-time salary range (GEOZONE 3): $182500.00 - $338900.00
- Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
-
Full-time salary range (GEOZONE 4): $164200.00 - $305000.00
- Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc.
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only.
Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
- Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
- For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
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Find JobsRemote Machine Learning Manager Job Market
Who's Hiring
- Atlas Technologies22
- Atlassian13
- Lockheed Martin11
- Whatnot5
- NVIDIA4
Top Industries Hiring
- Technology & Software17
- Hospitality & Tourism4
- Consulting & Professional Services3
- Retail2
- Electronics & Hardware2
What Employers Look For
The qualifications that appear most often in remote machine learning manager jobs.
- 5+ years of machine learning experience with at least 2 years managing or leading teams
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX
- Experience taking machine learning models from prototype to production at scale
- Strong cross-functional collaboration skills with product, engineering, and data teams
- Familiarity with MLOps tooling including experiment tracking, model registries, and CI/CD pipelines
- Graduate degree in computer science, statistics, mathematics, or a closely related field
Tips for Your Remote Machine Learning Manager Job Search
Apply early to remote roles that fit
Migrate Mate lists remote machine learning manager openings from across the U.S. in one place, so you can find roles that match your background and apply directly without sorting through unrelated listings.
Prove async leadership before the interview
Remote employers want evidence you can manage distributed engineers without daily standups. Write up a concise decision log or architecture memo from a past project and share it during the process. Concrete written artifacts outperform verbal claims about remote readiness.
Build your remote ML management portfolio
Document the models you have shipped, the team structures you have run, and the outcomes you have delivered in a public or shareable format. Remote hiring managers review portfolios before calls because they cannot walk the floor and observe your work style in person.
Prepare for distributed-team interview formats
Remote machine learning manager interviews often include a written take-home case, an async video screen, and a panel call across multiple time zones. Practice narrating technical tradeoffs in writing and structuring your answers for asynchronous review, not just real-time delivery.
Remote Machine Learning Manager Jobs: Frequently Asked Questions
How do I get a remote machine learning manager job?
Target remote-first technology companies, fintech firms, and healthcare AI teams, which hire machine learning managers without requiring on-site presence. Remote employers screen heavily for written communication, comfort with async collaboration tools like Slack and Notion, and the ability to drive ML roadmaps without daily in-person oversight. Candidates who document prior remote or cross-functional leadership, even informally, stand out over those who only list technical credentials.
Which companies hire remote machine learning managers?
Companies hiring remote machine learning managers right now include Atlas Technologies, Atlassian, and Lockheed Martin, based on current remote listings on Migrate Mate as of November 2026. Remote-first technology firms, distributed fintech platforms, and enterprise software companies with global data teams tend to hire machine learning managers fully remotely.
Can you get a remote machine learning manager job with no experience?
Yes, but remote entry-level machine learning manager roles are rare because employers expect you to lead distributed engineers with minimal supervision from day one. The clearest path in is through remote ML engineer roles at smaller companies where you naturally absorb team leadership, then parlay that into a formal manager title. Demonstrating async mentorship, written technical decision-making, and ownership of shipped models can substitute for a traditional management title.
Do you need a degree for remote machine learning manager jobs?
Not always. Most remote employers list a degree in computer science, statistics, or a related field as preferred rather than required, especially when a candidate brings demonstrable results. Remote hiring teams weigh production ML systems you have shipped, open-source contributions, and evidence you can lead engineers across time zones as heavily as formal credentials.
Which industries hire the most remote machine learning managers?
The sectors hiring the most remote machine learning managers are Technology & Software, Hospitality & Tourism, and Consulting & Professional Services, based on current remote listings on Migrate Mate as of November 2026. These sectors concentrate remote ML leadership because their engineering and data teams are already distributed across multiple locations and time zones.
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