Remote Lead Machine Learning Engineer Jobs
Remote Lead Machine Learning Engineer jobs are open across fintech, healthtech, enterprise software, and AI-native startups at remote-first firms and distributed engineering teams that need senior technical leadership without geographic constraints. 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 198+ Remote Lead Machine Learning Engineer 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.
See All 198+ Remote Lead Machine Learning Engineer Jobs
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Find JobsRemote Lead Machine Learning Engineer Job Market
Who's Hiring
- Atlas Technologies22
- Atlassian13
- Lockheed Martin11
- Whatnot5
- NVIDIA4
Top Industries Hiring
- Technology & Software17
- Hospitality & Tourism4
- Automotive3
- Consulting & Professional Services3
- Retail2
What Employers Look For
The qualifications that appear most often in remote lead machine learning engineer jobs.
- 5 or more years of end-to-end machine learning experience including production deployment
- Deep proficiency in Python and ML frameworks such as PyTorch or TensorFlow
- Experience designing and maintaining scalable ML pipelines and feature stores
- Strong background in one or more domains such as NLP, computer vision, or recommendation systems
- Ability to mentor junior engineers and lead technical design reviews
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
Tips for Your Remote Lead Machine Learning Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote lead machine learning engineer openings from across the U.S. in one place, so you can find roles that match your experience and apply directly without sorting through non-remote listings.
Show async leadership in your portfolio
Remote employers evaluating lead candidates look for evidence you can direct ML work without real-time oversight. Document design decisions, architectural tradeoffs, and team guidance in public write-ups, RFCs, or GitHub READMEs so hiring managers can assess your leadership style before the first call.
Signal remote readiness in your cover letter
Name the tools you use for distributed collaboration, such as Weights and Biases for experiment tracking, Notion for async documentation, or Slack for cross-functional alignment. Remote hiring managers screen early for candidates who already work this way, not candidates who say they can adapt.
Prepare for remote system design interviews
Remote lead ML interviews frequently go deeper on ML platform architecture, feature store design, and model serving infrastructure than on coding exercises. Practice whiteboarding distributed training pipelines and latency-sensitive inference systems using shared diagramming tools like Miro or Excalidraw, which replicate the actual remote interview format.
Remote Lead Machine Learning Engineer Jobs: Frequently Asked Questions
How do I get a remote lead machine learning engineer job?
Target remote-first companies and distributed engineering teams in sectors like fintech, healthtech, and enterprise AI, where async collaboration is already embedded in how teams work. Remote employers screen for strong written communication, self-directed project ownership, and the ability to mentor engineers across time zones without in-person oversight. A public GitHub portfolio, clear technical writing, and experience shipping production ML systems give you a concrete edge over candidates who can only demonstrate work verbally.
Which companies hire remote lead machine learning engineers?
Remote lead machine learning engineer roles are posted by Atlas Technologies, Atlassian, and Lockheed Martin and others right now, based on current remote listings on Migrate Mate as of November 2026. These tend to be remote-first firms, AI-native startups, and large distributed engineering organizations across software, finance, and healthcare that build ML infrastructure at scale.
Can you get a remote lead machine learning engineer job with no experience?
Yes, but remote lead roles are harder to land without experience because you're expected to operate independently and guide other engineers from day one. Remote-first startups and early-stage AI companies occasionally hire engineers into lead-adjacent roles if you can show end-to-end ownership of shipped ML projects, open-source contributions with measurable impact, or a strong technical portfolio. Demonstrating async communication skills and self-direction in your application materials opens the door more than credentials alone.
Do you need a degree for remote lead machine learning engineer jobs?
Not always. Many remote employers care more about demonstrated engineering judgment, production ML experience, and the ability to lead technical teams than a specific credential. A strong portfolio of shipped models, contributions to recognized ML frameworks, or prior experience owning an ML platform end-to-end can carry more weight than a degree at remote-first companies and distributed teams evaluating candidates on output.
Which industries hire the most remote lead machine learning engineers?
The sectors hiring the most remote lead machine learning engineers are Technology & Software, Hospitality & Tourism, and Automotive, based on current remote listings on Migrate Mate as of November 2026. These industries rely on distributed engineering teams that need senior ML leadership operating across time zones without requiring a central office presence.
See All 198+ Remote Lead Machine Learning Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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