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Manager Remote Machine Learning Engineer Jobs in Virginia

Capital One

Sr. Distinguished Engineer

Mclean, VA · On-site +1

$105K - $145K/yr

As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering ... Eligibility varies based on full or part-time status, exempt or non-exempt status, and management ...

Booz Allen Hamilton, Inc.

AI Engineer

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: Yes Job Number: R0241255 Location: Arlington,VA,US Share job via: Share AI Engineer The Opportunity: As a programmer, you know that machine learning is critical to understanding and ...

Varsity Tutors

Machine Learning Tutor

Fairfax, VA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Alexandria, VA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Virginia Beach, VA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Norfolk, VA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Salem, VA · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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All JobsMachine Learning Engineer JobsManager Remote Machine Learning Engineer JobsManager Remote Machine Learning Engineer Jobs in Virginia

Manager Remote Machine Learning Engineer information

What is a Manager Remote Machine Learning Engineer?

A Manager Remote Machine Learning Engineer is a leadership role responsible for overseeing a team of machine learning engineers who work remotely. They manage the development, deployment, and optimization of machine learning models and ensure that projects align with organizational goals. In addition to technical expertise, this manager focuses on remote team collaboration, communication, and productivity. They often coordinate workflows, mentor team members, and act as a bridge between technical teams and business stakeholders.

What is the difference between Manager Remote Machine Learning Engineer vs Data Scientist?

AspectManager Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience in ML engineeringBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, collaborative teams, focus on ML model deploymentRemote or on-site, data analysis, model development, research
Employer & Industry UsageTech companies, AI startups, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis, modeling, research tasks

The Manager Remote Machine Learning Engineer oversees ML projects and teams, focusing on deployment and management, while Data Scientists primarily analyze data and develop models. Both roles require strong technical skills, but the manager role emphasizes leadership and project oversight.

What are the key skills and qualifications needed to thrive as a Manager Remote Machine Learning Engineer, and why are they important?

To thrive as a Manager Remote Machine Learning Engineer, strong expertise in machine learning algorithms, programming (Python, R), and a degree in computer science or a related field are essential, along with proven leadership experience. Familiarity with cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), and project management tools is typically required, as well as certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Outstanding communication, team leadership, and problem-solving skills help foster collaboration and drive remote teams toward project goals. These capabilities are vital for effectively managing distributed teams, delivering robust AI solutions, and ensuring project success in a remote environment.

How does a Manager Remote Machine Learning Engineer typically balance team leadership with hands-on technical responsibilities?

A Manager Remote Machine Learning Engineer often splits time between leading and mentoring a distributed team and actively contributing to machine learning projects. While overseeing project timelines, conducting code reviews, and setting technical direction are key leadership tasks, managers also stay involved in model development and troubleshooting to maintain technical expertise. Effective communication and clear documentation are crucial, as remote teams rely on these to collaborate efficiently across different time zones. Balancing these responsibilities requires strong organizational skills and the ability to prioritize both people management and technical deliverables.
What are the most commonly searched types of Remote Machine Learning Engineer jobs in Virginia? The most popular types of Remote Machine Learning Engineer jobs in Virginia are:
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What cities in Virginia are hiring for Manager Remote Machine Learning Engineer jobs? Cities in Virginia with the most Manager Remote Machine Learning Engineer job openings:
Manager Remote Machine Learning Engineer jobs near you

Software Engineer Subject Matter Expert / AI & Machine Learning Engineer

Staffed4U

Chantilly, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago

Job description

Software Engineer Subject Matter Expert / AI & Machine Learning Engineer
Location: Chantilly, Virginia
Security Clearance: Active TS/SCI with Polygraph Required
Job Type: Full-Time

Position Overview

The selected candidate will serve as a senior technical authority supporting the design, development, integration, and maintenance of advanced software, artificial intelligence, and machine learning solutions within a secure mission environment. This role requires extensive expertise in software engineering, systems analysis, cloud technologies, and AI/ML methodologies supporting complex operational and technical requirements.

Minimum Qualifications
  • Bachelor’s degree and a minimum of sixteen (16) years of relevant experience; OR
  • Twenty-one (21) years of related professional experience in lieu of a degree
  • Minimum of sixteen (16) years of software engineering, artificial intelligence, or machine learning experience
  • Active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance with Polygraph
  • Demonstrated experience leading complex technical and operational initiatives
Duties and Responsibilities
  • Design, develop, test, and maintain enterprise software and AI/ML systems
  • Analyze software and system requirements to develop technical solutions supporting operational objectives
  • Evaluate and improve software performance, scalability, reliability, and maintainability
  • Develop system specifications, technical documentation, and implementation plans
  • Coordinate with engineers, analysts, developers, and stakeholders to support system integration and deployment
  • Modify and enhance existing software applications to improve functionality and resolve technical issues
  • Analyze interfaces between hardware and software systems and define performance requirements
  • Support installation, configuration, testing, and maintenance of software systems and applications
  • Develop and maintain applications within cloud-based environments, including modernization of legacy systems
  • Estimate software development schedules, technical risks, and resource requirements
  • Apply analytical, mathematical, and engineering methods to evaluate system performance and software outcomes
  • Lead AI and machine learning initiatives including model development, data analysis, automation, and predictive analytics
  • Provide technical leadership, mentoring, and guidance to engineering and development teams
  • Support troubleshooting, root cause analysis, and resolution of highly complex technical issues
Required Knowledge, Skills, and Abilities
  • Expert knowledge of software engineering principles, artificial intelligence, machine learning, programming, and systems analysis
  • Experience developing applications in cloud and enterprise environments
  • Ability to analyze user requirements and translate them into scalable technical solutions
  • Experience with software testing, debugging, and performance optimization
  • Strong analytical, organizational, and problem-solving skills
  • Excellent written and verbal communication skills
  • Ability to lead technical teams and collaborate across multidisciplinary environments
Preferred Technical Experience

Experience or familiarity with one or more of the following technologies or tools is desirable:

  • Programming languages and software development frameworks
  • Web application development technologies including HTML, JavaScript, Apache Struts, and Ruby on Rails
  • Software testing, usability testing, and defect tracking tools including Mercury Interactive LoadRunner
  • Source code editors and software development environments
  • Desktop computing systems, high-end servers, and application server technologies
About the Organization

A dynamic, quality-focused small business providing innovative and mission-oriented solutions to government and commercial customers. The organization supports defense, intelligence, civilian, and commercial sectors through a team of experienced professionals and subject matter experts.

Benefits Summary

Our client offers a comprehensive benefits package to support employee well-being, financial security, professional growth, and work-life balance. Benefits may include:

  • Flexible Time Off
    Employees are encouraged to manage their time responsibly while meeting work requirements and maintaining productivity.
  • Hybrid Work Environment
    Flexible work arrangements may include a combination of remote and onsite work opportunities based on operational needs.
  • Retirement Savings Plan
    Retirement benefits may include participation in a 401(k) savings program with employer contributions.
  • Paid Parental Leave
    Paid leave is available to support employees welcoming a new child through birth, adoption, or foster placement.
  • Comprehensive Health Coverage
    Medical, dental, vision, and other healthcare benefit options are available to support individual and family healthcare needs.
  • Professional Development and Continuing Education
    Opportunities for continued learning, certifications, and job-related training are available to support career growth and advancement.

We are an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other protected status under applicable law.