AI / ML Engineer Manager
Arlington, VA · On-site
Responsibilities : • Lead, mentor, and manage a high-performing team of ML modeling developers and MLOps engineers. • Define and execute the technical strategy for the MaaS platform, including ...
AI / ML Engineer Manager
Arlington, VA · On-site
Responsibilities : • Lead, mentor, and manage a high-performing team of ML modeling developers and MLOps engineers. • Define and execute the technical strategy for the MaaS platform, including ...
AI / ML Engineer Manager
Arlington, VA · On-site
As the Manager for the AI/ML Models as a Service (MaaS) team, you will lead a specialized group of developers and engineers dedicated to productionizing machine learning for the DoD. Your mission is ...
AI / ML Engineer Manager
Arlington, VA · On-site
As the Manager for the AI/ML Models as a Service (MaaS) team, you will lead a specialized group of developers and engineers dedicated to productionizing machine learning for the DoD. Your mission is ...
AI/ML Engineer Manager (WDP)
Herndon, VA · On-site
$200 - $250/hr
BT-160 - AI/ML Engineer Manager (WDP) Location: Chantilly/Herndon **MUST HAVE A TS/SCI CLEARANCE TO APPLY. Those without an active security clearance will not be considered.** Role Description: As ...
AI/ML Engineer Manager (WDP)
Herndon, VA · On-site
$200 - $250/hr
BT-160 - AI/ML Engineer Manager (WDP) Location: Chantilly/Herndon **MUST HAVE A TS/SCI CLEARANCE TO APPLY. Those without an active security clearance will not be considered.** Role Description: As ...
AI / ML Engineer Manager
Arlington, VA · On-site
$126K - $243K/yr
As the Manager for the AI/ML Models as a Service (MaaS) team, you will lead a specialized group of developers and engineers dedicated to productionizing machine learning for the DoD. Your mission is ...
AI / ML Engineer Manager
Arlington, VA · On-site
$126K - $243K/yr
As the Manager for the AI/ML Models as a Service (MaaS) team, you will lead a specialized group of developers and engineers dedicated to productionizing machine learning for the DoD. Your mission is ...
AI / ML Engineer Manager
Arlington, VA · On-site
$126K - $243K/yr
As the Manager for the AI/ML Models as a Service (MaaS) team, you will lead a specialized group of developers and engineers dedicated to productionizing machine learning for the DoD. Your mission is ...
AI / ML Engineer Manager
Arlington, VA · On-site
$126K - $243K/yr
As the Manager for the AI/ML Models as a Service (MaaS) team, you will lead a specialized group of developers and engineers dedicated to productionizing machine learning for the DoD. Your mission is ...
BT-160 - AI/ML Engineer Manager (WDP) Location: Chantilly/Herndon **MUST HAVE A TS/SCI CLEARANCE TO APPLY. Those without an active security clearance will not be considered.** Role Description: As ...
BT-160 - AI/ML Engineer Manager (WDP) Location: Chantilly/Herndon **MUST HAVE A TS/SCI CLEARANCE TO APPLY. Those without an active security clearance will not be considered.** Role Description: As ...
ML Engineer
San Francisco, CA · On-site
$125 - $150/hr
The role At Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD ... Familiarity with multi‑GPU training and experiment management (Weights & Biases or similar)
ML Engineer
San Francisco, CA · On-site
$125 - $150/hr
The role At Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD ... Familiarity with multi‑GPU training and experiment management (Weights & Biases or similar)
ML Engineer
San Francisco, CA · On-site
$180K - $300K/yr
The role At Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD ... Familiarity with multi-GPU training and experiment management (Weights & Biases or similar)
ML Engineer
San Francisco, CA · On-site
$180K - $300K/yr
The role At Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD ... Familiarity with multi-GPU training and experiment management (Weights & Biases or similar)
ML ENGINEER Job Location Primary: Tampa - FL/ Alternate GA Job summary - - Typically, minimum of 4 ... management with a model registry Define model serving options, create testing pipeline in ...
ML ENGINEER Job Location Primary: Tampa - FL/ Alternate GA Job summary - - Typically, minimum of 4 ... management with a model registry Define model serving options, create testing pipeline in ...
AL/ML Engineer
Columbus, OH · On-site
... Management ✅ Experience with AI/ML application deployment, monitoring, and performance optimization ✅ Healthcare / Medicaid experience is a plus 🎯 Ideal Candidate A hands-on AI/ML Engineer who ...
New
AL/ML Engineer
Columbus, OH · On-site
... Management ✅ Experience with AI/ML application deployment, monitoring, and performance optimization ✅ Healthcare / Medicaid experience is a plus 🎯 Ideal Candidate A hands-on AI/ML Engineer who ...
New
ML Engineer
Malvern, PA · On-site
$100K - $135K/yr
Roles & Responsibilities Senior AWS ML Engineer with 8+ years of experience in • Design, build ... Generic Managerial Skills, If any • Strong leadership and stakeholder management skills, with ...
ML Engineer
Malvern, PA · On-site
$100K - $135K/yr
Roles & Responsibilities Senior AWS ML Engineer with 8+ years of experience in • Design, build ... Generic Managerial Skills, If any • Strong leadership and stakeholder management skills, with ...
AI/ML Engineer
Bellevue, WA · On-site
Solid understanding of Python deployment best practices, including dependency management, virtual ... an AI / ML Engineer. * Excellent problem-solving skills and the ability to tackle complex ...
Quick apply
AI/ML Engineer
Bellevue, WA · On-site
Solid understanding of Python deployment best practices, including dependency management, virtual ... an AI / ML Engineer. * Excellent problem-solving skills and the ability to tackle complex ...
AI/ML Engineer
WV · On-site +1
As an AI/ML Engineer SME at GDIT, you'll power innovation to drive mission impact and grow your ... Automate model deployment, monitoring, versioning, lineage, and lifecycle management. * Build and ...
AI/ML Engineer
WV · On-site +1
As an AI/ML Engineer SME at GDIT, you'll power innovation to drive mission impact and grow your ... Automate model deployment, monitoring, versioning, lineage, and lifecycle management. * Build and ...
ML Engineer
Malvern, PA · On-site
$120K - $135K/yr
Roles & Responsibilities Senior AWS ML Engineer with 8+ years of experience in • Design, build ... Generic Managerial Skills, If any • Strong leadership and stakeholder management skills, with ...
ML Engineer
Malvern, PA · On-site
$120K - $135K/yr
Roles & Responsibilities Senior AWS ML Engineer with 8+ years of experience in • Design, build ... Generic Managerial Skills, If any • Strong leadership and stakeholder management skills, with ...
The AI/ML Engineer collaborates closely with data scientists, dashboard teams, developers, and PMO leadership to ensure AI/ML models are usable, optimized, and appropriately embedded into mission ...
The AI/ML Engineer collaborates closely with data scientists, dashboard teams, developers, and PMO leadership to ensure AI/ML models are usable, optimized, and appropriately embedded into mission ...
The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles ... Familiarity with Sponsor's enterprise services, security controls, and data management practices.
Quick apply
The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles ... Familiarity with Sponsor's enterprise services, security controls, and data management practices.
AI/ML Engineer
Chantilly, VA · On-site
The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles ... Familiarity with Sponsor's enterprise services, security controls, and data management practices.
AI/ML Engineer
Chantilly, VA · On-site
The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles ... Familiarity with Sponsor's enterprise services, security controls, and data management practices.
Staff ML Engineer
Zionsville, IN · On-site
... management, and striving for outcomes. This goal extends to how we hire and onboard our most ... As a Staff ML Engineer, you'll focus on the MLOps and infrastructure layer that makes ML production ...
Staff ML Engineer
Zionsville, IN · On-site
... management, and striving for outcomes. This goal extends to how we hire and onboard our most ... As a Staff ML Engineer, you'll focus on the MLOps and infrastructure layer that makes ML production ...
AI/ML Engineer
Chantilly, VA · On-site
The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles ... Familiarity with Sponsor's enterprise services, security controls, and data management practices.
AI/ML Engineer
Chantilly, VA · On-site
The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles ... Familiarity with Sponsor's enterprise services, security controls, and data management practices.
They are seeking a ML Engineer to be a founding member of their Intelligence Org, focusing on ... Use frontier models, off-the-shelf tooling, and managed services to move quickly; invest in custom ...
They are seeking a ML Engineer to be a founding member of their Intelligence Org, focusing on ... Use frontier models, off-the-shelf tooling, and managed services to move quickly; invest in custom ...
Ml Engineer Manager information
See salary details
$12.98 - $19.14
2% of jobs
$19.14 - $25.31
6% of jobs
$25.31 - $31.47
10% of jobs
$31.47 - $37.63
6% of jobs
$38.66 is the 25th percentile. Wages below this are outliers.
$37.63 - $43.79
3% of jobs
$43.79 - $49.96
6% of jobs
$49.96 - $56.12
9% of jobs
The median wage is $60.04 / hr.
$56.12 - $62.28
12% of jobs
$62.28 - $68.44
12% of jobs
$72.47 is the 75th percentile. Wages above this are outliers.
$68.44 - $74.61
14% of jobs
$74.61 - $80.77
20% of jobs
$12
$55
$80
How much do ml engineer manager jobs pay per hour?
As of Sep 8, 2026, the average hourly pay for ml engineer manager in the United States is $55.99, according to ZipRecruiter salary data. Most workers in this role earn between $40.14 and $74.52 per hour, depending on experience, location, and employer.
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Cities with the most Ml Engineer Manager job openings:
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The most popular types of Ml Engineer jobs are:
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States with the most job openings for Ml Engineer Manager jobs include:
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AI / ML Engineer Manager
Arlington, VA • On-site
Accenture Federal Services •
IT Services • 10K+ employees10,000+ employees
Full-time
Re-posted 25 days ago
Accenture Federal Services rating
8.7
Based on 20 frontline employees who took The Breakroom Quiz
51st of 500 rated business services
Job description
Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance national security and improve lives through technology. As the Manager for the AI/ML Models as a Service team, you will lead a group focused on productionizing machine learning for the DoD, overseeing the development and deployment of AI/ML models to support various missions.
Responsibilities:
• Lead, mentor, and manage a high-performing team of ML modeling developers and MLOps engineers.
• Define and execute the technical strategy for the MaaS platform, including the frameworks for model training, versioning, deployment, and monitoring.
• Oversee the design, development, and deployment of a diverse portfolio of machine learning models to solve complex mission challenges.
• Establish and enforce robust MLOps practices to ensure automated, reliable, and scalable CI/CD pipelines for machine learning models.
• Architect the service layer for the MaaS platform, ensuring models are exposed via secure, scalable, and well-documented APIs.
• Collaborate with data scientists, data engineers, and mission stakeholders to identify use cases and translate requirements into production-ready models.
• Implement governance, security, and ethical AI standards across the entire model lifecycle.
• Manage project timelines, resource allocation, and stakeholder communication for all MaaS initiatives.
Qualifications:
Required:
• 8+ years of experience in data science or machine learning engineering, with at least 3 years in a technical leadership or management role.
• Deep expertise in developing and deploying ML models using common frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Proven experience building and maintaining production ML systems in a cloud environment (AWS, Azure, GCP).
• Strong understanding of MLOps principles and hands-on experience with relevant tools (e.g., MLflow, Kubeflow, AWS SageMaker, Azure ML).
• Proficiency with containerization technologies (Docker, Kubernetes) and CI/CD tools.
• Experience with programming skills in Python and familiarity with software engineering best practices.
• US Citizenship (No Dual Citizenship)
• Active TS or TS/SCI Clearance
Preferred:
• Direct experience building a Model-as-a-Service or Machine-Learning-as-a-Service platform.
• Experience with ML platforms like Databricks or AWS SageMaker AI.
• Familiarity with Infrastructure-as-Code (IaC) tools like Terraform.
• Experience working in a high-security DoD or Intelligence Community environment.
• Demonstrated success leading teams that deliver complex, data-driven software projects.
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.
Accenture Federal Services is dedicated to helping the US federal government enhance national security and improve lives through technology. As the Manager for the AI/ML Models as a Service team, you will lead a group focused on productionizing machine learning for the DoD, overseeing the development and deployment of AI/ML models to support various missions.
Responsibilities:
• Lead, mentor, and manage a high-performing team of ML modeling developers and MLOps engineers.
• Define and execute the technical strategy for the MaaS platform, including the frameworks for model training, versioning, deployment, and monitoring.
• Oversee the design, development, and deployment of a diverse portfolio of machine learning models to solve complex mission challenges.
• Establish and enforce robust MLOps practices to ensure automated, reliable, and scalable CI/CD pipelines for machine learning models.
• Architect the service layer for the MaaS platform, ensuring models are exposed via secure, scalable, and well-documented APIs.
• Collaborate with data scientists, data engineers, and mission stakeholders to identify use cases and translate requirements into production-ready models.
• Implement governance, security, and ethical AI standards across the entire model lifecycle.
• Manage project timelines, resource allocation, and stakeholder communication for all MaaS initiatives.
Qualifications:
Required:
• 8+ years of experience in data science or machine learning engineering, with at least 3 years in a technical leadership or management role.
• Deep expertise in developing and deploying ML models using common frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Proven experience building and maintaining production ML systems in a cloud environment (AWS, Azure, GCP).
• Strong understanding of MLOps principles and hands-on experience with relevant tools (e.g., MLflow, Kubeflow, AWS SageMaker, Azure ML).
• Proficiency with containerization technologies (Docker, Kubernetes) and CI/CD tools.
• Experience with programming skills in Python and familiarity with software engineering best practices.
• US Citizenship (No Dual Citizenship)
• Active TS or TS/SCI Clearance
Preferred:
• Direct experience building a Model-as-a-Service or Machine-Learning-as-a-Service platform.
• Experience with ML platforms like Databricks or AWS SageMaker AI.
• Familiarity with Infrastructure-as-Code (IaC) tools like Terraform.
• Experience working in a high-security DoD or Intelligence Community environment.
• Demonstrated success leading teams that deliver complex, data-driven software projects.
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.
What Accenture Federal Services employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Accenture Federal Services
Sourced by ZipRecruiter
Industry
It services
Company size
10,000+ Employees
Headquarters location
Arlington, VA, US
Year founded
1989