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Machine Learning Engineer Manager Jobs (NOW HIRING)

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying ...

Advatix Inc.

Machine Learning Engineer

San Mateo, CA · On-site

$125 - $150/hr

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift: N/A Location: San Mateo, CA (Peninsula) - Onsite Preferred Schedule: Full time, Permanent Role Visa ...

ManTech International

Machine Learning Engineer

$128K - $214K/yr

The Machine Learning Engineer will leverage their strong technical background and knowledge to ... Manage and deploy cloud-based ML services across major cloud computing environments, including AWS ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site

Manage MLOps infrastructure to monitor and optimize models. Qualifications Experience: * 3+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.

Cymertek Corporation

Machine Learning Engineer

Honolulu, HI · On-site

$150 - $200/hr

Machine Learning Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this ... Ability to collaborate in cross-functional teams (e.g., engineers, product managers) * Knowledge of ...

Cymertek

Machine Learning Engineer

Chantilly, VA · On-site

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... Ability to collaborate in cross-functional teams (e.g., engineers, product managers) * Knowledge of ...

Equifax, Inc.

Machine Learning Engineer

Atlanta, GA · On-site

Technical Leadership - Be able to lead and manage a team of machine learning engineers, data scientists, or related roles. Ability to set clear goals, provide guidance, and foster a collaborative and ...

Cymertek Corporation

Machine Learning Engineer

Reston, VA · On-site

$125 - $150/hr

Machine Learning Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... Ability to collaborate in cross-functional teams (e.g., engineers, product managers) * Knowledge of ...

Perfict

Machine Learning Engineer

... in managing machine learning projects end-to-end, with the last 18 months focused on MLOps • Strong programming skills, preferably in languages like Python, Java, or Scala • Proficiency in ...

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Machine Learning Engineer Manager information

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$27.5K

$136.7K

$209K

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

As of Sep 8, 2026, the average yearly pay for machine learning engineer manager in the United States is $136,685.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $167,000.00 per year, depending on experience, location, and employer.

What is a machine learning engineer manager?

Machine Learning Engineer Managers are professionals who lead teams of machine learning engineers in designing, developing, and deploying machine learning models and systems. They combine strong technical expertise in machine learning with leadership and project management skills to guide teams, set priorities, and ensure projects align with organizational goals. In addition to overseeing technical work, they are responsible for mentoring team members, collaborating with other departments, and staying updated on the latest ML technologies and best practices.

What are the main challenges machine learning engineer managers face when leading teams?

Machine Learning Engineer Managers often navigate the dual challenge of aligning technical innovation with business goals while supporting team growth. They must balance hands-on technical guidance with project management, ensuring that machine learning models are both cutting-edge and production-ready. Additionally, fostering collaboration between data scientists, engineers, and stakeholders is crucial to keeping projects on track and team members motivated. Managing shifting priorities and keeping up with rapid advancements in AI technology are also common aspects of the role.

What are the key skills and qualifications needed to thrive as a machine learning engineer manager, and why are they important?

To thrive as a Machine Learning Engineer Manager, you need a strong background in computer science, machine learning algorithms, and leadership, often supported by an advanced degree and experience managing technical teams. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and project management systems is essential, along with certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Excellent communication, strategic thinking, and mentorship abilities help foster team growth and drive project success. These skills are crucial for delivering impactful ML solutions, ensuring efficient team performance, and aligning technical work with organizational goals.

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

AspectMachine Learning Engineer ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; often leadership experienceBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentLeads ML teams, manages projects, collaborates with engineeringAnalyzes data, builds models, reports insights, collaborates with business units
Employer & Industry UsageTech companies, AI firms, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis and modeling skills

The main difference is that a Machine Learning Engineer Manager oversees ML teams and projects, focusing on leadership and strategy, while a Data Scientist primarily analyzes data and builds models to extract insights. Both roles require strong technical skills, but the manager role adds leadership responsibilities.

Are machine learning engineer managers still in demand?

Machine Learning Engineer Managers are in high demand due to the growing adoption of AI and data-driven solutions across industries. They require strong technical skills, leadership abilities, and knowledge of tools like Python, TensorFlow, and cloud platforms, making their roles critical in developing and overseeing AI projects.

What cities are hiring for Machine Learning Engineer Manager jobs?

Cities with the most Machine Learning Engineer Manager job openings:

What are the most commonly searched types of Machine Learning Engineer jobs?

The most popular types of Machine Learning Engineer jobs are:

What states have the most Machine Learning Engineer Manager jobs?

States with the most job openings for Machine Learning Engineer Manager jobs include:

What are popular job titles related to Machine Learning Engineer Manager jobs?

For Machine Learning Engineer Manager jobs, the most frequently searched job titles are:

Infographic showing various Machine Learning Engineer Manager job openings in the United States as of September 2026, with employment types broken down into 87% Full Time, 12% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $136,685 per year, or $65.7 per hour.

Machine Learning Engineer

Washington, DC • On-site

AI Squared
See more jobs at AI Squaredexternal

Full-time

Re-posted 19 days ago

Job description

Machine Learning Engineer
Washington, DC (Hybrid)
About the Role:
We are seeking a highly skilled Machine Learning Engineer to join our core AI team. In this role, you will focus on deploying, maintaining, and monitoring the AI/ML systems that power our platform. You will work closely with data scientists, data engineers, and product teams to ensure scalable, reliable, and production-grade AI solutions. You'll play a critical role in operationalizing large language models (LLMs) and other ML systems, ensuring they run efficiently, securely, and with robust monitoring in place.
Key Responsibilities:
  • Design, implement, and maintain ML deployment pipelines for scalable production systems.
  • Operationalize large language models (LLMs) and other AI/ML models, ensuring high availability and reliability.
  • Build robust model monitoring, logging, and alerting systems to track performance and detect drift.
  • Partner with data scientists to transition models from research/prototype into production-ready deployments.
  • Develop CI/CD pipelines for ML workflows, integrating testing, validation, and automated deployment.
  • Optimize runtime performance of ML models across cloud platforms (AWS, GCP, Azure) and distributed systems.
  • Apply containerization and orchestration (Docker, Kubernetes) to enable reproducible, scalable systems.
  • Collaborate with cross-functional teams to ensure ML systems align with platform goals and business requirements.

Qualifications:
  • 5+ years of experience as a Machine Learning Engineer, MLOps Engineer, or similar role.
  • Proven experience deploying and maintaining machine learning models in production at scale.
  • Hands-on experience with ML lifecycle tooling (MLflow, Kubeflow, SageMaker, Vertex AI, or similar).
  • Strong proficiency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow.
  • Deep knowledge of containerization (Docker) and orchestration (Kubernetes) for production ML systems.
  • Expertise with cloud platforms (AWS, GCP, Azure) for ML deployment and scaling.
  • Strong understanding of MLOps best practices, monitoring, and automation.
  • Excellent problem-solving skills, with an emphasis on building reliable, scalable systems.
  • Strong communication and collaboration skills across technical and non-technical teams.

Apply