Lead Machine Learning Engineer Visa Sponsorship Jobs in Virginia
Lead machine learning engineer visa sponsorship jobs in Virginia are concentrated in the Northern Virginia technology corridor, anchored by federal contractors and cloud infrastructure companies around Arlington, McLean, and Reston. Major employers including Booz Allen Hamilton, Leidos, Capital One, Amazon Web Services, and SAIC regularly file sponsorship petitions for senior ML engineering roles requiring advanced modeling and systems expertise.
Find Lead Machine Learning Engineer JobsOverview
Showing 5 of 18+ Lead Machine Learning Engineer Jobs in Virginia with Visa Sponsorship
See all Lead Machine Learning Engineer Jobs in Virginia with Visa Sponsorship
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Lead Machine Learning Engineer Jobs in Virginia with Visa Sponsorship.
Get Access To All JobsINTRODUCTION
The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary: Regular
Language Fluency: English (Required)
Work Shift: 1st shift (United States of America)
Please review the following job description:
Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics. Lead, guide and educate junior data scientists in the team to enable personal and professional growth as well as help in successful conclusion of various analytics initiatives across the team. This position will sit on-site 5 days a week. No remote option available.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
-
Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics, for example) on structured and unstructured data. Identify actionable insights from various (or multiple) sources of data that measurably improve business outcomes or reduce business risk.
-
Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
-
Provide analytical consulting and thought leadership to various business areas and fosters strategic and positive relationship with business partners.
-
Co-design the optimal solutions to solve the complex business problems with advanced data science capabilities to create business value.
-
Manage engagement in various analytics initiatives across the team, lead junior teammates, and partner with cross-functional teams.
-
Act first to learn and adopt new analytical capabilities and keeps advancing home-grown solutions towards industry leading benchmark.
-
Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partners with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities; help with overall risk management for the team.
-
Actively mentor and guide junior teammates in order to create an inclusive and energizing environment that empowers teammates to learn, grow and have meaningful careers.
-
Drive overall team standards and take a leading role in hiring, onboarding and continuously coaching new teammates.
QUALIFICATIONS
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
-
Bachelor’s degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
-
Six years of related experience
-
Demonstrate domain expertise (SME) in one or more areas relevant to banking, financial services, fin-tech, quantitative risk management, and/or financial regulation; this will be demonstrated by several years of career progression in roles of increasing responsibility
-
In-depth knowledge in practices, theories and methodologies associated with the professional discipline such as statistics, programming (such as Python, R, SAS, etc.), machine learning, model development, business information visualization, etc.
-
Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
-
Experience in managing multiple projects with tight deadlines and/or leading teams
Preferred Qualifications:
-
Master’s degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
-
Ten years of relevant work experience if candidate lacks graduate degree
-
Previous experience in the banking or fin-tech industry
-
Regulatory Reporting (FFIEC 031, FR Y-9C, FR Y-14, FR 2052a)
-
Data Lineage & Data Traceability
To comply with the Virginia pay transparency statute and for work locations in Virginia only, the annual base salary for this position is $130,000-$140,000.
OTHER JOB REQUIREMENTS / WORKING CONDITIONS
Sitting
Constantly (More than 50% of the time)
Visual / Audio / Speaking
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
Manual Dexterity / Keyboarding
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
Availability
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
Travel
Minimal and up to 10%
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
EEO is the Law E-Verify IER Right to Work
INTRODUCTION
The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status.
Need Help?
If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response).
Regular or Temporary: Regular
Language Fluency: English (Required)
Work Shift: 1st shift (United States of America)
Please review the following job description:
Perform sophisticated analytics (statistical and predictive analytics, machine learning modeling, etc) to provide actionable insights that improve business outcomes and minimize risk and also provide consultation to business leaders and other stakeholders on how to leverage analytics insights and build strategies around analytics. Lead, guide and educate junior data scientists in the team to enable personal and professional growth as well as help in successful conclusion of various analytics initiatives across the team. This position will sit on-site 5 days a week. No remote option available.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
-
Perform sophisticated data analytics (encompassing data mining, inferential statistical analysis, and predictive analytics, for example) on structured and unstructured data. Identify actionable insights from various (or multiple) sources of data that measurably improve business outcomes or reduce business risk.
-
Take accountability and ownership of end-to-end data science solution design, technical delivery, and measurable business outcome.
-
Provide analytical consulting and thought leadership to various business areas and fosters strategic and positive relationship with business partners.
-
Co-design the optimal solutions to solve the complex business problems with advanced data science capabilities to create business value.
-
Manage engagement in various analytics initiatives across the team, lead junior teammates, and partner with cross-functional teams.
-
Act first to learn and adopt new analytical capabilities and keeps advancing home-grown solutions towards industry leading benchmark.
-
Exercise sound judgment and foster risk management culture throughout design, development, and deployment practices; partners with cross-functional teams to coordinate rules on data usage, data governance and analytics capabilities; help with overall risk management for the team.
-
Actively mentor and guide junior teammates in order to create an inclusive and energizing environment that empowers teammates to learn, grow and have meaningful careers.
-
Drive overall team standards and take a leading role in hiring, onboarding and continuously coaching new teammates.
QUALIFICATIONS
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
-
Bachelor’s degree in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering, or equivalent education and related training
-
Six years of related experience
-
Demonstrate domain expertise (SME) in one or more areas relevant to banking, financial services, fin-tech, quantitative risk management, and/or financial regulation; this will be demonstrated by several years of career progression in roles of increasing responsibility
-
In-depth knowledge in practices, theories and methodologies associated with the professional discipline such as statistics, programming (such as Python, R, SAS, etc.), machine learning, model development, business information visualization, etc.
-
Working knowledge of Hadoop, Pig, Hive, and/or NoSQL, Spark
-
Experience in managing multiple projects with tight deadlines and/or leading teams
Preferred Qualifications:
-
Master’s degree or PhD in a quantitative field such as Finance, Mathematics, Analytics, Data Science, Computer Science, or Engineering
-
Ten years of relevant work experience if candidate lacks graduate degree
-
Previous experience in the banking or fin-tech industry
-
Regulatory Reporting (FFIEC 031, FR Y-9C, FR Y-14, FR 2052a)
-
Data Lineage & Data Traceability
To comply with the Virginia pay transparency statute and for work locations in Virginia only, the annual base salary for this position is $130,000-$140,000.
OTHER JOB REQUIREMENTS / WORKING CONDITIONS
Sitting
Constantly (More than 50% of the time)
Visual / Audio / Speaking
Able to access and interpret client information received from the computer and able to hear and speak with individuals in person and on the phone.
Manual Dexterity / Keyboarding
Able to work standard office equipment, including PC keyboard and mouse, copy/fax machines, and printers.
Availability
Able to work all hours scheduled, including overtime as directed by manager/supervisor and required by business need.
Travel
Minimal and up to 10%
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
EEO is the Law E-Verify IER Right to Work
Lead Machine Learning Engineer Job Roles in Virginia
See all Lead Machine Learning Engineer Jobs in Virginia
Sign up for free to filter by visa type, set job alerts, and find employers with verified sponsorship history.
Search Lead Machine Learning Engineer Jobs in VirginiaLead Machine Learning Engineer Jobs in Virginia: Frequently Asked Questions
Which companies in Virginia sponsor visas for lead machine learning engineers?
Northern Virginia's federal contracting and technology sectors produce consistent sponsorship activity for lead machine learning engineers. Booz Allen Hamilton, Leidos, SAIC, and Perspecta regularly file for senior ML roles supporting government and defense contracts. Commercial technology employers including Capital One, Amazon Web Services, and Microsoft also sponsor in Virginia, particularly for roles involving large-scale model development, MLOps infrastructure, and applied AI research.
What visa types are available for lead machine learning engineers seeking sponsorship in Virginia?
Lead machine learning engineer roles qualify as specialty occupations under the H-1B visa, requiring a bachelor's degree or higher in a directly related field such as computer science, mathematics, or electrical engineering. The H-1B is subject to an annual cap and selection process. Australian citizens may apply for the E-3 visa, and Chilean and Singaporean nationals have access to the H-1B1 visa. Canadian and Mexican citizens holding the required engineering degree may qualify under the TN visa as engineers. Employer-sponsored EB-2 or EB-3 green cards are also a path for long-term roles.
Which cities in Virginia have the most lead machine learning engineer sponsorship jobs?
Northern Virginia dominates, with Arlington, McLean, Reston, and Herndon hosting the highest concentration of sponsorship activity. This corridor benefits from proximity to federal agencies, the Department of Defense, and major cloud infrastructure campuses. Richmond has emerging ML hiring activity through financial services and healthcare technology firms. Virginia Beach sees smaller but growing sponsorship volume tied to defense-adjacent technology work.
How to find lead machine learning engineer visa sponsorship jobs in Virginia?
Migrate Mate lists lead machine learning engineer positions in Virginia filtered to employers with verified visa sponsorship history, covering roles in Northern Virginia's federal contracting sector through to commercial technology firms in Arlington and Reston. Searching by role and state on Migrate Mate surfaces active sponsors more efficiently than general job searches, particularly helpful for identifying which defense contractors and cloud companies are actively filing for senior ML engineering talent.
Are there state-specific factors that affect visa sponsorship for lead machine learning engineers in Virginia?
Virginia's high concentration of federal contractors creates a distinct hiring pattern. Many ML engineering roles require or prefer U.S. security clearances, which complicates sponsorship since clearances generally require U.S. citizenship or permanent residency. Candidates without clearance eligibility are better positioned targeting commercial employers like Capital One or AWS. Virginia's proximity to university programs at George Mason and Virginia Tech also creates pipelines that some employers use for OPT and STEM OPT hiring before transitioning to H-1B sponsorship.
What is the prevailing wage for sponsored lead machine learning engineer jobs in Virginia?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.