Remote Machine Learning Specialist Jobs
Remote machine learning specialist jobs are open across the U.S. at remote-first firms and distributed teams in sectors like software, fintech, and healthcare technology. Employers hiring remote machine learning specialists 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 204+ Remote Machine Learning Specialist 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 204+ Remote Machine Learning Specialist Jobs
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Find JobsRemote Machine Learning Specialist Job Market
Who's Hiring
- Atlas Technologies22
- Atlassian14
- Lockheed Martin12
- Whatnot9
- Indeed6
Top Industries Hiring
- Technology & Software20
- Hospitality & Tourism5
- Retail3
- Consulting & Professional Services3
- Electronics & Hardware2
What Employers Look For
The qualifications that appear most often in remote machine learning specialist jobs.
- Proficiency in Python and at least one deep learning framework such as PyTorch or TensorFlow
- Experience building and deploying end-to-end machine learning pipelines in production environments
- Strong foundation in statistics, probability, and linear algebra applied to modeling problems
- Familiarity with cloud ML platforms such as AWS SageMaker, Google Vertex AI, or Azure ML
- Experience with data preprocessing, feature engineering, and working with large-scale datasets
- Bachelor's or master's degree in computer science, statistics, mathematics, or a related technical field
Tips for Your Remote Machine Learning Specialist Job Search
Apply early to remote roles that fit
Migrate Mate lists remote machine learning specialist openings from across the U.S. in one place, so you can find roles that match your stack and apply directly without sorting through listings that aren't actually remote.
Build a portfolio that shows deployed work
Remote hiring managers can't watch you work, so your GitHub, a personal project site, or a documented Kaggle notebook becomes your proof. Show the full pipeline: data ingestion, feature engineering, training, evaluation, and deployment, not just a notebook with good accuracy numbers.
Demonstrate async communication in your application
Remote machine learning teams run on written communication. A cover note or project README that explains your modeling decisions clearly and concisely signals you can contribute on a distributed team without constant back-and-forth.
Prep for remote-specific technical interviews
Many remote machine learning interviews include a take-home assessment or a live coding session over a shared environment. Practice explaining your design choices out loud as you work, since remote interviewers weight reasoning as heavily as the final answer.
Remote Machine Learning Specialist Jobs: Frequently Asked Questions
How do I get a remote machine learning specialist job?
Target companies that run distributed engineering teams, such as remote-first software firms, AI-native startups, and cloud platform companies, since these organizations are built to onboard and manage machine learning specialists without an office. Remote employers screen heavily for self-direction, clear written communication, and async collaboration skills alongside the technical core: Python, model training pipelines, and MLOps tooling. A public portfolio of shipped models or documented experiments gives you a concrete edge over candidates who list skills without evidence.
Which companies hire remote machine learning specialists?
Companies hiring remote machine learning specialists right now include Atlas Technologies, Atlassian, and Lockheed Martin, based on current remote listings on Migrate Mate as of November 2026. Remote-first software companies, distributed fintech teams, and AI-focused healthcare firms account for a large share of these openings.
Can you get a remote machine learning specialist job with no experience?
Yes, but remote entry-level roles are harder to land because employers expect you to work independently from day one with minimal hand-holding. The companies most open to junior remote candidates are early-stage startups and research-adjacent teams that value raw capability over tenure. A strong GitHub portfolio, a Kaggle competition result, or a documented personal project that walks through data prep to deployment can substitute effectively for professional experience.
Do you need a degree for remote machine learning specialist jobs?
Not always. Many remote employers care more about demonstrated skills than credentials, particularly at companies that evaluate candidates through take-home assessments or portfolio reviews rather than credential screens. That said, roles at larger enterprises and research-driven organizations frequently list a bachelor's or master's in computer science, mathematics, or a related field as a baseline. Practical results, open-source contributions, and certifications carry real weight when a degree is absent.
Which industries hire the most remote machine learning specialists?
Most remote machine learning specialist openings sit in Technology & Software, Hospitality & Tourism, and Retail, per current remote listings on Migrate Mate as of November 2026. These sectors rely heavily on distributed engineering teams and generate enough model development work to justify fully remote machine learning specialists rather than requiring on-site presence.
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