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Machine Learning Manager Jobs in Norfolk, VA (NOW HIRING)

Defianx

AI / Machine Learning Engineer

Norfolk, VA · On-site

... and machine-learning capabilities supporting NATO operational and capability-development ... Support model deployment, monitoring, configuration, and lifecycle management. * Work with data ...

HII

MACHINIST SKILLBRIDGE INTERN

Newport News, VA · On-site

Our diverse and innovative team of professionals ranges from skilled trades to project managers ... HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ...

HII

MACHINIST SKILLBRIDGE INTERN

Newport News, VA · On-site

Our diverse and innovative team of professionals ranges from skilled trades to project managers ... HII's diverse workforce includes skilled tradespeople; artificial intelligence, machine learning ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

Develop machine learning models, predictive analytics capabilities, and decision-support solutions ... management capabilities. * Develop scalable data architectures, metadata enrichment pipelines ...

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All JobsMachine Learning JobsMachine Learning Manager JobsMachine Learning Manager Jobs in Norfolk, VA

Machine Learning Manager information

See Norfolk, VA salary details

$49.3K

$79.1K

$114.2K

How much do machine learning manager jobs pay per year?

As of Sep 14, 2026, the average yearly pay for machine learning manager in Norfolk, VA is $79,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $89,500.00 per year, depending on experience, location, and employer.

What is a machine learning manager?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.

What are the key skills and qualifications needed to thrive as a machine learning manager?

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

What are some of the main challenges a machine learning manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

Is machine learning a high paying job?

Machine Learning Managers typically earn high salaries due to their specialized skills in data analysis, programming, and model development. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying role within the tech sector.

What are the most commonly searched types of Machine Learning jobs in Norfolk, VA?

The most popular types of Machine Learning jobs in Norfolk, VA are:

What are popular job titles related to Machine Learning Manager jobs in Norfolk, VA?

For Machine Learning Manager jobs in Norfolk, VA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Manager jobs in Norfolk, VA look for?

The top searched job categories for Machine Learning Manager jobs in Norfolk, VA are:

What cities near Norfolk, VA are hiring for Machine Learning Manager jobs?

Cities near Norfolk, VA with the most Machine Learning Manager job openings:

Machine Learning Manager jobs near you
Infographic showing various Machine Learning Manager job openings in Norfolk, VA as of August 2026, with employment types broken down into 86% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $79,057 per year, or $38 per hour.

AI / Machine Learning Engineer

Norfolk, VA • On-site

Weiatech, LLC
IT Services • 1 - 10 employees
Learn more about Weiatech, LLCexternal

Other

Posted 4 days ago

Job description

Norfolk, United States | Posted on 09/07/2026

The AI/ML Engineer will design, build, integrate, evaluate, and maintain artificial-intelligence and machine-learning capabilities supporting NATO operational and capability-development requirements.

Key Responsibilities

  • Develop, train, test, and evaluate AI/ML solutions.
  • Build and integrate AI-enabled applications and services.
  • Support mission-relevant generative AI, NLP, predictive analytics, classification, optimization, and related use cases.
  • Establish repeatable model-development and evaluation processes.
  • Evaluate accuracy, reliability, security, bias, and operational suitability.
  • Develop APIs, pipelines, and integration mechanisms.
  • Support model deployment, monitoring, configuration, and lifecycle management.
  • Work with data scientists, architects, engineers, cybersecurity specialists, and operational users.
  • Document assumptions, limitations, risks, and performance results.
  • Apply responsible and secure AI-engineering principles.
Requirements

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, Engineering, or related discipline.
  • 5+ yearsof software, data, or AI engineering experience, including demonstrated ML/AI development.
  • Experience with PyTorch, TensorFlow, Scikit-learn, or equivalent ML frameworks.
  • Understanding of model development, validation, deployment, and monitoring.
  • Experience integrating AI into operational applications.
  • Required citizenship and security clearance.
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