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Machine Learning Deployment Engineer Jobs (NOW HIRING)

Advatix Inc.

Machine Learning Engineer

San Mateo, CA · On-site

$110K - $165K/yr

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift ... Own the complete ML lifecycle from research and prototyping through deployment, monitoring, and ...

Avride

Machine Learning Engineer

Austin, TX · On-site

... Machine Learning Engineer to enhance their autonomous systems. The role involves developing and ... Optimize inference performance, model compression, and deployment across various hardware platforms ...

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Design, implement, and maintain ML deployment pipelines for scalable production systems.

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Design, implement, and maintain ML deployment pipelines for scalable production systems.

AI Squared

Machine Learning Engineer

Washington, DC · On-site

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Design, implement, and maintain ML deployment pipelines for scalable production systems.

MatrixSpace

Machine Learning Engineer

Burlington, MA · Remote

$165K - $200K/yr

Help us bridge machine learning research and real-world deployment! MatrixSpace develops AI-enabled ... We're looking for a hands-on Machine Learning Engineer who enjoys turning cutting-edge ML research ...

Unissant

Machine Learning Engineer

Ashburn, VA · On-site

We are seeking a Machine Learning Engineer to join our team and support our client in Ashburn, VA ... Familiarity with MLOps practices, CI/CD pipelines, and model deployment processes. * Working ...

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Showing results 21-40

All JobsMachine Learning Deployment Engineer Jobs

Machine Learning Deployment Engineer information

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$35.5K

$109.6K

$170K

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

As of Sep 10, 2026, the average yearly pay for machine learning deployment engineer in the United States is $109,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,500.00 and $138,500.00 per year, depending on experience, location, and employer.

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

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

Infographic showing various Machine Learning Deployment Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $109,561 per year, or $52.7 per hour.

Machine Learning Engineer

Annapolis Junction, MD • On-site

Cymertek Corporation
IT Services • 11 - 50 employees
Learn more about Cymertek Corporationexternal

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Cymertek Corporation is seeking a talented and innovative Machine Learning Engineer to join their team. The role involves designing, developing, and deploying machine learning models to solve complex problems and improve decision-making processes.
Responsibilities:
• Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
• Ability to design, implement, and optimize machine learning models and workflows
• Experience working with large, complex datasets
• Knowledge of data preprocessing and feature engineering
• Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
• Strong problem-solving skills and analytical thinking
Qualifications:
Required:
• Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
• Ability to design, implement, and optimize machine learning models and workflows
• Experience working with large, complex datasets
• Knowledge of data preprocessing and feature engineering
• Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
• Strong problem-solving skills and analytical thinking
• Proficiency in programming languages (e.g., Python, R, Java)
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Expertise in model evaluation techniques and metrics
• Strong knowledge of version control tools (e.g., Git)
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
• Understanding of database technologies (e.g., SQL, NoSQL)
• Bachelor's Degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, etc.
Preferred:
• Experience with natural language processing (NLP)
• Knowledge of deep learning techniques (e.g., CNNs, RNNs)
• Familiarity with deployment tools (e.g., Docker, Kubernetes)
• Experience with data augmentation and synthetic data generation
• Ability to collaborate in cross-functional teams (e.g., engineers, product managers)
• Knowledge of edge computing and model optimization for deployment
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.

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