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Manager Remote Machine Learning Engineer Jobs in Gloucester, VA

Stantec

Fire Protection Engineer (Remote or Hybrid)

Hampton, VA · On-site +1

$80K - $108K/yr

We value flexibility-remote or hybrid work options may be available depending on the candidate and ... Managing fire protection engineering portions of complex new construction or complex renovation ...

Quora

AI Automation Engineer -Remote

Williamsburg, VA · On-site +1

$202K - $234K/yr

Excellent debugging skills and the ability to manage multiple projects simultaneously * High level ... remote work reimbursement, paid time off, employee assistance programs, and more. Benefits are ...

New

SAIC

Systems Engineer

Hampton, VA · Remote

$80K - $120K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is looking for a Data Integrity ... configuration management principles and processes, mission planning/scheduling along with ...

SAIC

Senior Software Engineer

Hampton, VA · Remote

$80K - $120K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is looking for a Software Developer Configuration Manager/ Full Stack Developer to join our team of the Air Operations Center Weapons ...

Leidos

Senior DevOps Engineer

Newport News, VA · On-site +1

$107K - $195K/yr

... management, managing infrastructure, and partnering closely with software engineers in fast-paced, iterative development environments. This position does have the ability to work remote, but the ...

Stantec

Facility Assessor/Inspector (Remote)

Hampton, VA · On-site +1

$77K - $112K/yr

Position will report to a Stantec office and is eligible for remote/hybrid work arrangement. The ... Degree in architecture, engineering, construction management, or other applicable field * Master ...

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All JobsMachine Learning Engineer JobsManager Remote Machine Learning Engineer JobsManager Remote Machine Learning Engineer Jobs in Gloucester, VA

Manager Remote Machine Learning Engineer information

See Gloucester, VA salary details

$27.7K

$62.4K

$105K

How much do manager remote machine learning engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for manager remote machine learning engineer in Gloucester, VA is $62,408.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,300.00 and $67,800.00 per year, depending on experience, location, and employer.

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 cities near Gloucester, VA are hiring for Manager Remote Machine Learning Engineer jobs? Cities near Gloucester, VA with the most Manager Remote Machine Learning Engineer job openings:
Manager Remote Machine Learning Engineer jobs near you
Senior Consultant - Computational Aerothermodynamics & Machine Learning

Senior Consultant - Computational Aerothermodynamics & Machine Learning

Analytical Mechanics Associates

Hampton, VA • On-site, Remote

$59 - $69/hr

Part-time

Medical, Dental, Vision, Retirement

Posted 6 days ago

Job description

Job Description:
56-$69 Analytical Mechanics Associates (AMA) is seeking a highly specialized Subject Matter Expert to serve in a part-time, advisory capacity. This consultant will provide strategic technical guidance and expert review at the intersection of computational aerothermodynamics, advanced modeling and simulation (M&S), and machine learning (ML).
Requiring a commitment of no more than 20 hours per month, this role is ideal for an established researcher, academic, or industry veteran looking to lend their expertise to cutting-edge aerospace challenges without a full-time commitment.
The hourly rate for this position is $59-$69 an hour commensurate with experience and education.
Key Responsibilities:
  • Technical Advisory: Provide expert-level consultation on computational aerothermodynamics methodologies, physics-based modeling, and simulation strategies.
  • Machine Learning Integration: Advise on the application and integration of machine learning algorithms (e.g., surrogate modeling, physics-informed neural networks, data-driven turbulence modeling) to enhance traditional CFD and aerothermodynamic workflows.
  • Design & Architecture Review: Evaluate and provide feedback on the architecture of high-performance physical models and numerical methods.
  • Strategic Roadmapping: Assist engineering teams in identifying emerging trends and state-of-the-art techniques in M&S and computational physics to maintain a competitive technical edge.
  • Mentorship & Collaboration: Serve as a sounding board for senior engineers and developers, helping to troubleshoot complex physical and algorithmic challenges.

Required Qualifications:
  • Education: Ph.D. in Aerospace Engineering, Mechanical Engineering, Physics, or a strictly related computational discipline.
  • Experience: A minimum of 5 years of active, post-Ph.D. professional experience specifically focused on computational aerothermodynamics, M&S, and ML.
  • Domain Expertise: Deep foundational knowledge of hypersonic and supersonic flows, high-temperature gas dynamics, and advanced computational fluid dynamics (CFD).
  • Machine Learning Proficiency: Proven track record of applying machine learning, deep learning, or advanced statistical modeling to complex fluid dynamics or thermodynamic problems.
  • Communication: Exceptional ability to distill complex theoretical concepts into actionable engineering guidance.

Preferred Qualifications:
  • Familiarity with modern, high-performance software architecture, particularly the development of robust C++ libraries for CFD codes (e.g., providing complex gas properties).
  • Experience with heterogeneous computing environments, including GPU acceleration and parallel programming models (e.g., OpenMP, CUDA, Kokkos).
  • Deep knowledge of physics of high-enthalpy flows, including thermal radiation, chemical kinetics, and transport processes.
  • History of peer-reviewed publications in relevant aerospace, physics, or computational science journals.

This position requires U.S. Citizenship or Permanent Residence.
Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and dynamic work environment, and our employees' career satisfaction. AMA is a small business with a wide reach; headquartered in Hampton, VA, AMA has operations in Greenbelt, MD; Huntsville, AL; Dallas and Houston, TX; Denver, CO; Mountain View, CA; and Edwards Air Force Base, CA. With over 60 years of experience, AMA specializes in aerospace engineering, science, analytics, information technology, and visualization solutions. AMA combines the best of engineering, science, and mathematics capabilities with the latest in information technologies, visualization, and multimedia to build creative solutions. We offer competitive salaries and a substantial benefits package, including but not limited to paid personal and federally recognized holiday leave, salary deferrals into a 401(k)-matching plan with immediate vesting, tuition reimbursement, short/long term disability plans, and a variety of medical, dental, and vision insurance options.
AMA is committed to the professional growth of every employee, understanding that the successes of our employees drive our success. We provide a work environment that is engaging, collaborative, and supportive. To learn more about our company, please visit our website at www.ama-inc.com/careers and follow us on Facebook and LinkedIn.
AMA is an Equal Opportunity Employer and does not discriminate against any applicant for employment or employee because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status, or any other characteristic prohibited under federal, state, or local laws.

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