ZipRecruiter

Log In

1

Learning Operations Manager Jobs (NOW HIRING)

OptiTrack

Machine Learning & Operations Engineer

Atlanta, GA · On-site +1

$66.90K - $90.50K/yr

Experience managing GPU workloads and distributed training systems * Experience with cloud ... our operations - from recruitment and promotion to layoff and recall, to leave of absence ...

OptiTrack

Machine Learning & Operations Engineer

Miami, FL · Remote

$71.10K - $96.20K/yr

Experience managing GPU workloads and distributed training systems * Experience with cloud ... our operations - from recruitment and promotion to layoff and recall, to leave of absence ...

OptiTrack

Machine Learning & Operations Engineer

Miami, FL · Remote

$66.50K - $89.90K/yr

Experience managing GPU workloads and distributed training systems * Experience with cloud ... our operations - from recruitment and promotion to layoff and recall, to leave of absence ...

CGI Inc.

Machine Learning Operations Engineer

Strongsville, OH · On-site

$64.10K - $86.70K/yr

Machine Learning Operations Engineer Category: Software Development/ Engineering Main location ... Understanding of ML lifecycle management, including versioning, deployment, and drift detection ...

next page

Showing results 1-20

People also search for

All JobsLearning Operations Manager Jobs

Learning Operations Manager information

See salary details

$31K

$63.5K

$118.5K

How much do learning operations manager jobs pay per year?

As of May 29, 2026, the average yearly pay for learning operations manager in the United States is $63,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $77,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Learning Operations Manager, you need expertise in program management, data analysis, instructional design, and often a background in education or business. Familiarity with learning management systems (LMS), project management tools, and data reporting platforms is typically required. Strong organizational skills, problem-solving abilities, and effective communication set top performers apart in this role. These competencies ensure smooth delivery of training programs, data-driven improvements, and alignment with organizational learning goals.

How does a Learning Operations Manager typically collaborate with instructional designers and trainers within an organization?

A Learning Operations Manager works closely with instructional designers to ensure that course development aligns with organizational goals, timelines, and quality standards. They coordinate with trainers to schedule sessions, manage resources, and gather feedback for continuous improvement. Regular meetings and open communication channels are essential to address logistical challenges, troubleshoot issues, and ensure a seamless learning experience for participants. This collaborative approach helps streamline training delivery and promotes a culture of ongoing learning within the organization.

What is a Learning Operations Manager?

A Learning Operations Manager is responsible for overseeing the planning, execution, and optimization of training programs within an organization. They coordinate logistics, manage learning technologies, and ensure that educational initiatives run smoothly and efficiently. This role often works closely with instructional designers, trainers, and other stakeholders to align learning activities with organizational goals. Their work helps to maximize the impact and effectiveness of professional development and training efforts.

What is the difference between Learning Operations Manager vs Learning Coordinator?

AspectLearning Operations ManagerLearning Coordinator
CredentialsTypically requires a bachelor’s degree in education, business, or related field; certifications in learning management systems (LMS) are commonUsually requires a bachelor’s degree; certifications in training or LMS are beneficial
Work EnvironmentOversees learning programs, manages teams, and collaborates with stakeholders in corporate or educational settingsSupports training sessions, coordinates schedules, and assists in content delivery within organizations
Employer & Industry UsageUsed in corporate training, e-learning companies, and educational institutionsCommon in corporate training departments, nonprofits, and educational organizations

The Learning Operations Manager focuses on managing learning programs, teams, and operational processes, while the Learning Coordinator handles logistical support and coordination of training activities. Both roles require knowledge of learning systems, but the manager has broader responsibilities in strategy and oversight.

More about Learning Operations Manager jobs
What cities are hiring for Learning Operations Manager jobs? Cities with the most Learning Operations Manager job openings:
What states have the most Learning Operations Manager jobs? States with the most job openings for Learning Operations Manager jobs include:
What job categories do people searching Learning Operations Manager jobs look for? The top searched job categories for Learning Operations Manager jobs are:
Learning Operations Manager jobs near you
Infographic showing various Learning Operations Manager job openings in the United States as of May 2026, with employment types broken down into 87% Full Time, 11% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $63,456 per year, or $30.5 per hour.
Machine Learning & Operations Engineer

Machine Learning & Operations Engineer

OptiTrack

Atlanta, GA • Remote

$66.80K - $90.40K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

OptiTrack is a global leader in motion capture technology, delivering precision tracking solutions for animation, robotics, virtual production, biomechanics, and industrial applications.

About the Role

OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning. This role sits at the intersection of machine learning engineering and infrastructure, focusing on automation of data validation pipelines, orchestration of large-scale experiments, and deployment of high-performance algorithms.

This is a fully remote position, working cross-functionally with research and engineering teams.

What You'll Do

  • Design and maintain automated ML training pipelines.
  • Build infrastructure for large-scale distributed experimentation.
  • Develop CI/CD workflows tailored for machine learning systems.
  • Orchestrate data ingestion, preprocessing, validation, and model versioning.
  • Implement experiment tracking, hyperparameter tuning automation, and reproducibility systems.
  • Optimize GPU/compute utilization across cloud and on-prem environments.
  • Deploy, monitor, and maintain production ML models
  • Establish and enforce MLOps best practices including model registry, artifact management, and observability.
  • Improve system reliability, performance, and security.
  • Collaborate closely with ML researchers make new algorithms product ready.
  • More typical DevOps responsibilities for software development as required.

Requirements

Required Qualifications

  • 3+ years of experience in MLOps, ML infrastructure, Machine Learning, or related roles or relevant degree experience.
  • Experience with Python and ML frameworks (PyTorch, TensorFlow, or similar)
  • Experience building CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.)
  • Hands-on experience with containerization (Docker) and orchestration
  • Experience managing GPU workloads and distributed training systems
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Strong understanding of automation, infrastructure reliability, and data pipelines
  • Ability to work with both European and US developers.

Preferred Qualifications

  • Experience with motion capture or computer vision systems
  • Familiarity with experiment tracking tools (MLflow, Weights & Biases, etc.)
  • Background in distributed systems or high-performance computing
  • Experience with workflow orchestration tools (Airflow, Argo, Prefect, Kubeflow)
  • Infrastructure as Code experience (Terraform, Pulumi, CloudFormation)
  • Experience with model optimization, inference acceleration, or edge deployment
  • Experience building tracking algorithms for device localization using techniques like SLAM
  • Strong problem-solving skills and attention to reproducibility
  • Comfortable working in a remote, collaborative environment, with international team members
  • Clear communicator who can bridge research and production engineering
  • Experience with image rendering pipelines in CryEngine.
  • Passion for building scalable AI infrastructure

Why Join OptiTrack?

  • Work on cutting-edge motion tracking systems
  • Contribute to technology used across robotics, animation, virtual reality, biomechanics, and virtual production
  • Remote-first flexibility
  • Opportunity to shape the next-generation of motion capture technology

Benefits

All benefits start on first day of employment!

  • 75% employer-paid medical for employee. Family coverage also included. 
  • 100% employer paid dental, and vision for employee and dependents
  • 100% employer paid long-term, short-term disability, and life insurance policy
  • 401k Match, if you're contributing 5% we match 4%. 100% vested immediately.
  • 10 paid holidays
  • Starting at 15 days paid PTO (inclusive of sick and vacation time) annually
  • Employee Assistance Program (EAP)
  • Flexible Spending Account (FSA)

EEOC Statement:

OptiTrack is an equal opportunity employer, we believe in fostering a culture of equality, diversity, and inclusivity. Our commitment to this goal is clearly expressed in our zero-tolerance policy for discrimination and harassment of any kind, including on the basis of race, color, sex, age, religion, sexual orientation, national origin, disability, genetic information, pregnancy, protected veteran status or any other characteristic protected by applicable federal, state, or local laws. Our hiring practices ensure that decisions are based solely on qualifications, merit, and current business needs, while extending to all aspects of our operations - from recruitment and promotion to layoff and recall, to leave of absence, compensation, benefits, and training.  We are committed to remaining a drug free workplace

Apply