The Machine Learning Engineer will build and manage production machine learning systems, design data pipelines, and collaborate with engineers and product leaders to enhance decision-making processes ...
New
The Machine Learning Engineer will build and manage production machine learning systems, design data pipelines, and collaborate with engineers and product leaders to enhance decision-making processes ...
New
Machine Learning Engineer - REMOTE
Austin, TX · On-site +1
We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...
Machine Learning Engineer - REMOTE
Austin, TX · On-site +1
We are looking for a Machine Learning Engineer to help us design and deliver CX solutions that provide our clients with a beautiful customer journey that achieves results. At PTP we value aptitude ...
Machine Learning Engineer
New York, NY · Remote
$27 - $32/hr
Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close knowledge gaps in data science , AI , and machine learning domains. Surface nuances that ...
Quick apply
Machine Learning Engineer
New York, NY · Remote
$27 - $32/hr
Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to close knowledge gaps in data science , AI , and machine learning domains. Surface nuances that ...
Senior Machine Learning Engineer
Richmond, VA · On-site +1
$103.40K - $142K/yr
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Senior Machine Learning Engineer
Richmond, VA · On-site +1
$103.40K - $142K/yr
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Machine Learning Engineer
San Mateo, CA · On-site +1
Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...
Machine Learning Engineer
San Mateo, CA · On-site +1
Company Description PatternAI is an automated machine learning platform that reveals critical patterns in data for narrow business problems. We're seeking an outstanding ML Engineer to join our data ...
Machine Learning Engineer
Mclean, VA · On-site +1
$115K - $150K/yr
We are looking for a more than just a "Machine Learning Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.
Machine Learning Engineer
Mclean, VA · On-site +1
$115K - $150K/yr
We are looking for a more than just a "Machine Learning Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.
Senior Machine Learning Engineer
Chicago, IL · On-site +1
$107.60K - $147.80K/yr
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Senior Machine Learning Engineer
Chicago, IL · On-site +1
$107.60K - $147.80K/yr
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Senior Machine Learning Engineer
Mclean, VA · On-site +1
$105.60K - $145.10K/yr
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Senior Machine Learning Engineer
Mclean, VA · On-site +1
$105.60K - $145.10K/yr
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Senior Machine Learning Engineer
Plano, TX · On-site +1
$100K - $137.30K/yr
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Senior Machine Learning Engineer
Plano, TX · On-site +1
$100K - $137.30K/yr
Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Lead Machine Learning Engineer
New York, NY · On-site +1
$112.10K - $147.70K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Lead Machine Learning Engineer
New York, NY · On-site +1
$112.10K - $147.70K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Machine Learning Research Engineer
Springfield, VA · Remote
$99K - $225K/yr
We need your technical knowledge and desire to problem-solve to support the creation of physics-aware foundational models for remote sensing applications. As a machine learning engineer on our ...
Machine Learning Research Engineer
Springfield, VA · Remote
$99K - $225K/yr
We need your technical knowledge and desire to problem-solve to support the creation of physics-aware foundational models for remote sensing applications. As a machine learning engineer on our ...
Lead Machine Learning Engineer
San Francisco, CA · On-site +1
$120.80K - $159.10K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Lead Machine Learning Engineer
San Francisco, CA · On-site +1
$120.80K - $159.10K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
We follow modern agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate ... Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ...
We follow modern agile practices, embrace the Ops ethos (DataOps/DevSecOps/MLOps) to "automate ... Vienna, VA and Chantilly, VA with remote flexibility Responsibilities: As a Machine Learning ...
Machine Learning Research Engineer
Springfield, VA · Remote
$99K - $225K/yr
We need your technical knowledge and desire to problem-solve to support the creation of physics-aware foundational models for remote sensing applications. As a machine learning engineer on our ...
Machine Learning Research Engineer
Springfield, VA · Remote
$99K - $225K/yr
We need your technical knowledge and desire to problem-solve to support the creation of physics-aware foundational models for remote sensing applications. As a machine learning engineer on our ...
Machine Learning Engineer
San Francisco, CA · Remote
$160K/yr
The Data Science team is hiring an experienced Machine Learning Engineer with a background building ... This position is 100% remote Responsibilities: * Design, prototype, implement, evaluate, optimize ...
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Machine Learning Engineer
San Francisco, CA · Remote
$160K/yr
The Data Science team is hiring an experienced Machine Learning Engineer with a background building ... This position is 100% remote Responsibilities: * Design, prototype, implement, evaluate, optimize ...
Machine Learning Engineer
New York, NY · On-site +1
About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform ...
Machine Learning Engineer
New York, NY · On-site +1
About the Role We are seeking a skilled and innovative Machine Learning Engineer to join our team. This person will implement and develop machine learning models to enhance our platform ...
Lead Machine Learning Engineer
New York, NY · On-site +1
$112.10K - $147.70K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Lead Machine Learning Engineer
New York, NY · On-site +1
$112.10K - $147.70K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Lead Machine Learning Engineer
Mclean, VA · On-site +1
$103.60K - $136.50K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Lead Machine Learning Engineer
Mclean, VA · On-site +1
$103.60K - $136.50K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Lead Machine Learning Engineer
Plano, TX · On-site +1
$98.10K - $129.20K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Lead Machine Learning Engineer
Plano, TX · On-site +1
$98.10K - $129.20K/yr
Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this ...
Machine Learning Engineer
Bodega Bay, CA · Remote
Machine Learning Engineer Location: South San Francisco, CA - hybrid role in Bay Arear Position Type: Contract Note: DO NOT SEND WITHOUT MOLECULAR EXPERIENCE, Work on ML workflows for molecular ...
Quick apply
Machine Learning Engineer
Bodega Bay, CA · Remote
Machine Learning Engineer Location: South San Francisco, CA - hybrid role in Bay Arear Position Type: Contract Note: DO NOT SEND WITHOUT MOLECULAR EXPERIENCE, Work on ML workflows for molecular ...
Remote Machine Learning Ops Engineer information
See salary details
$31.5K - $46.2K
1% of jobs
$46.2K - $61K
1% of jobs
$61K - $75.7K
5% of jobs
$75.7K - $90.4K
6% of jobs
$102.6K is the 25th percentile. Wages below this are outliers.
$90.4K - $105.1K
14% of jobs
$105.1K - $119.9K
14% of jobs
The median wage is $127.2K / yr.
$119.9K - $134.6K
18% of jobs
$134.6K - $149.3K
14% of jobs
$152.3K is the 75th percentile. Wages above this are outliers.
$149.3K - $164K
12% of jobs
$164K - $178.8K
11% of jobs
$178.8K - $193.5K
5% of jobs
$31.5K
$128.8K
$193.5K
How much do remote machine learning ops engineer jobs pay per year?
As of May 30, 2026, the average yearly pay for remote machine learning ops engineer in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.
More about Remote Machine Learning Ops Engineer jobs
What cities are hiring for Remote Machine Learning Ops Engineer jobs? Cities with the most Remote Machine Learning Ops Engineer job openings:
What are the most commonly searched types of Machine Learning Ops Engineer jobs? The most popular types of Machine Learning Ops Engineer jobs are:
What states have the most Remote Machine Learning Ops Engineer jobs? States with the most job openings for Remote Machine Learning Ops Engineer jobs include:
What job categories do people searching Remote Machine Learning Ops Engineer jobs look for? The top searched job categories for Remote Machine Learning Ops Engineer jobs are:
Full-time
Posted 2 days ago
Job description
Job Summary:
Pelica Health is an innovative company focused on value-based care, integrating various healthcare data into a cohesive system supported by AI. The Machine Learning Engineer will build and manage production machine learning systems, design data pipelines, and collaborate with engineers and product leaders to enhance decision-making processes in healthcare.
Responsibilities:
• Build and own production machine learning systems end-to-end, from data modeling and feature engineering to training, evaluation, deployment, and monitoring.
• Design and implement data pipelines that turn raw, messy real-world healthcare data into reliable features for machine learning models.
• Train and evaluate models for ranking, prioritization, and prediction problems, for example identifying high-risk or high-priority cases.
• Deploy models into production as reliable services or batch jobs, with clear versioning, monitoring, and rollback strategies.
• Work closely with backend engineers and product leaders to integrate machine learning into real workflows and decision-making systems.
• Make architectural decisions around model choice, evaluation metrics, retraining cadence, and system guardrails, balancing accuracy, explainability, reliability, and operational constraints.
• Collaborate directly with founders and engineers to translate product and operational needs into scalable, maintainable machine learning solutions.
Qualifications:
Required:
• At least 3 years of experience building and deploying machine learning systems in production.
• Strong foundation in machine learning for structured (tabular) data, including feature engineering, regression or classification models, and ranking or prioritization problems.
• Experience with the full machine learning lifecycle: data preparation, train/test splitting, evaluation, deployment, retraining, and monitoring.
• Solid backend engineering skills: writing production-quality code, building services or batch jobs, and working with databases and data pipelines.
• Good system design instincts. You understand trade-offs between model complexity, reliability, latency, scalability, and maintainability.
• Comfort working in a fast-paced startup environment with high ownership and ambiguity.
• Ability to clearly explain modeling choices, assumptions, and limitations to non-machine-learning stakeholders.
Preferred:
• Experience working with healthcare or operational decision-support systems.
• Experience building or integrating LLM systems in production, such as retrieval-augmented generation, fine-tuning, or structured prompting workflows.
• Prior startup experience or founder mindset. We value ownership, pragmatism, and bias toward shipping.
• Experience with model monitoring, data drift detection, or ML infrastructure tooling.
Company:
Pelica Health is transforming healthcare operations with AI agents. Learn more at https://www.pelica.com/ Founded in 2025, the company is headquartered in San Francisco, US, , with a team of 11-50 employees. The company is currently Early Stage.
Pelica Health is an innovative company focused on value-based care, integrating various healthcare data into a cohesive system supported by AI. The Machine Learning Engineer will build and manage production machine learning systems, design data pipelines, and collaborate with engineers and product leaders to enhance decision-making processes in healthcare.
Responsibilities:
• Build and own production machine learning systems end-to-end, from data modeling and feature engineering to training, evaluation, deployment, and monitoring.
• Design and implement data pipelines that turn raw, messy real-world healthcare data into reliable features for machine learning models.
• Train and evaluate models for ranking, prioritization, and prediction problems, for example identifying high-risk or high-priority cases.
• Deploy models into production as reliable services or batch jobs, with clear versioning, monitoring, and rollback strategies.
• Work closely with backend engineers and product leaders to integrate machine learning into real workflows and decision-making systems.
• Make architectural decisions around model choice, evaluation metrics, retraining cadence, and system guardrails, balancing accuracy, explainability, reliability, and operational constraints.
• Collaborate directly with founders and engineers to translate product and operational needs into scalable, maintainable machine learning solutions.
Qualifications:
Required:
• At least 3 years of experience building and deploying machine learning systems in production.
• Strong foundation in machine learning for structured (tabular) data, including feature engineering, regression or classification models, and ranking or prioritization problems.
• Experience with the full machine learning lifecycle: data preparation, train/test splitting, evaluation, deployment, retraining, and monitoring.
• Solid backend engineering skills: writing production-quality code, building services or batch jobs, and working with databases and data pipelines.
• Good system design instincts. You understand trade-offs between model complexity, reliability, latency, scalability, and maintainability.
• Comfort working in a fast-paced startup environment with high ownership and ambiguity.
• Ability to clearly explain modeling choices, assumptions, and limitations to non-machine-learning stakeholders.
Preferred:
• Experience working with healthcare or operational decision-support systems.
• Experience building or integrating LLM systems in production, such as retrieval-augmented generation, fine-tuning, or structured prompting workflows.
• Prior startup experience or founder mindset. We value ownership, pragmatism, and bias toward shipping.
• Experience with model monitoring, data drift detection, or ML infrastructure tooling.
Company:
Pelica Health is transforming healthcare operations with AI agents. Learn more at https://www.pelica.com/ Founded in 2025, the company is headquartered in San Francisco, US, , with a team of 11-50 employees. The company is currently Early Stage.