1

Sr Ml Engineer Jobs (NOW HIRING)

Senior ML Engineer

$180K - $200K/yr

Pursue excellence We're looking for a Senior ML Engineer to join Quilter's Placer Team and help us build the AI that automates component placement on PCBs. The Role The Placer is responsible for ...

Senior ML Engineer

Chicago, IL ยท Remote

$180K - $240K/yr

We are looking for a Senior Machine Learning Engineer with 5+ years of experience to join our small but mighty ML team building production-grade AI voice agents used by enterprise customers like AAA ...

Sr ML Engineer

Foster City, CA ยท On-site

$145K/yr

Senior Machine Learning Engineer - Merchant Data Platform: We are looking for a Senior Machine Learning Engineer to join our Merchant Data Platform (MDP) AI/ML team, helping to build the next ...

Senior ML Engineer - Mapping

Ann Arbor, MI ยท On-site

$102K - $140K/yr

As the Senior ML Engineer for Mapping, you will be at the forefront of this mission, building the production-grade semantic and topological foundation that allows our vehicles to understand and ...

Senior Machine Learning Engineer - Merchant Data Platform: We are looking for a Senior Machine Learning Engineer to join our Merchant Data Platform (MDP) AI/ML team, helping to build the next ...

Senior ML Engineer

San Francisco, CA ยท Remote

$180K - $240K/yr

We are looking for a Senior Machine Learning Engineer with 5+ years of experience to join our small but mighty ML team building production-grade AI voice agents used by enterprise customers like AAA ...

Senior Machine Learning Engineer - Merchant Data Platform: We are looking for a Senior Machine Learning Engineer to join our Merchant Data Platform (MDP) AI/ML team, helping to build the next ...

Senior ML Engineer - Mapping

Ann Arbor, MI

$102K - $140K/yr

As the Senior ML Engineer for Mapping, you will be at the forefront of this mission, building the production-grade semantic and topological foundation that allows our vehicles to understand and ...

As a Senior ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning initiatives across the health system. You will be responsible for driving specific projects ...

Sr. ML Engineer

Austin, TX ยท On-site

$130K/yr

The Sr. ML Engineer is responsible for designing, building, and managing the scalable cloud infrastructure that powers our AI and Machine Learning applications. Rather than focusing primarily on ...

Sr. ML Engineer

Austin, TX ยท Hybrid

$130K/yr

The Sr. ML Engineer is responsible for designing, building, and managing the scalable cloud infrastructure that powers our AI and Machine Learning applications. Rather than focusing primarily on ...

Senior ML Engineer (ML/AI)

Charleston, WV ยท Remote

$143K - $197K/yr

About the Role We are looking for an experienced Senior AI/ML Engineer to spearhead the design, development, and deployment of next-generation AI capabilities for our platform. In this role, you won ...

About the Role We are looking for an experienced Senior AI/ML Engineer to spearhead the design, development, and deployment of next-generation AI capabilities for our platform. In this role, you won ...

Senior ML Engineer

New York, NY ยท On-site

$114K - $157K/yr

As a Senior ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning initiatives across the health system. You will be responsible for driving specific projects ...

Senior ML Engineer - Mapping

Ann Arbor, MI ยท On-site

$102K - $140K/yr

As a Senior ML Engineer for Mapping, you will build the next generation of our mapping and localization stack, ensuring high-performance integration with the broader autonomy system and developing ...

Senior ML Engineer

Manhattan, NY

$114K - $157K/yr

As a Senior ML Engineer, you will support the implementation of diverse Generative AI and Machine Learning initiatives across the health system. You will be responsible for driving specific projects ...

next page

Showing results 1-20

Sr Ml Engineer information

See salary details

$59.5K

$126.6K

$183.5K

How much do sr ml engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for sr ml engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What is the difference between Sr Ml Engineer vs Data Scientist?

AspectSr Ml EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related fields; experience with ML frameworksBachelor's/Master's/PhD in CS, Statistics, or related fields; strong statistical and analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in productionAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, e-commerce, finance, healthcareResearch institutions, tech firms, consulting, finance

While both roles involve machine learning, Sr ML Engineers focus on deploying and maintaining models in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Sr Ml Engineer jobs
What cities are hiring for Sr Ml Engineer jobs? Cities with the most Sr Ml Engineer job openings:
What states have the most Sr Ml Engineer jobs? States with the most job openings for Sr Ml Engineer jobs include:
Infographic showing various Sr Ml Engineer job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Senior ML Engineer - Deployment and Databricks MLOps

Indotronix International Corporation

Austin, TX โ€ข On-site

$103K - $142K/yr

Contractor

Re-posted 20 days ago


Job description

Senior ML Engineer - Deployment and Databricks MLOps | Austin, Texas, United States Senior ML Engineer - Deployment & Databricks MLOps 3-Month Contract (Potential Extension) | Austin, TX (On-site, Local Candidates Only) About the Role Join a high-impact team as a Senior ML Engineer, bringing advanced manufacturing AI/ML solutions to production. You'll design and operationalize robust Databricks-based MLOps platforms, enabling scalable, automated, and governed machine learning deployments in a dynamic on-site environment. Collaborate with talented data scientists, engineers, and platform specialists to build repeatable, production-ready AI workflows that power modern manufacturing. Responsibilities - Build, optimize, and maintain ML pipelines in Databricks for model training, validation, scoring, and deployment. - Implement and manage CI/CD pipelines for ML and data workflows using Git-driven development and automated testing. - Partner with data scientists and engineers to transition experimental models into production-ready assets with strong governance and traceability. - Develop and manage data/feature pipelines to support model retraining, monitoring, and operational integration. - Establish model lifecycle controls using MLflow and Unity Catalog, ensuring reproducibility, versioning, and controlled releases. - Enhance reliability and reduce deployment risk through rigorous data validation, monitoring, and workflow automation. - Support seamless deployment patterns extendable from R&D to plant-floor-ready solutions. Required Skills and Experience - Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience). - Advanced Python software engineering for production ML systems. - Proven experience deploying ML models in production environments. - Deep hands-on experience with Databricks (jobs, workflows, repos, MLflow). - Expertise in building CI/CD pipelines for ML/data products using Git-based workflows. - Strong knowledge of data pipelines, feature engineering, batch processing, and workflow orchestration. - Collaborative experience in cross-functional ML, engineering, and cloud/platform teams. - Must be currently located within 30 miles of Austin, TX and able to work on-site 4-5 days/week. Preferred Skills - Background in manufacturing, industrial IoT, or plant-floor analytics. - Experience with model governance, lineage, and reproducible promotion of ML assets. - Designing resilient ML pipelines to handle evolving data and retraining needs. - Familiarity with operational model monitoring and validation. Benefits - Opportunity to shape the MLOps foundation for production-scale AI in manufacturing. - Work closely with leading experts in a collaborative, on-site Austin environment. - Gain hands-on experience with cutting-edge Databricks and MLflow technologies. - Build a reusable template for enterprise ML deployment and career advancement. - Contract with potential for extension based on performance and project needs. How to Apply Ready to lead enterprise AI deployment in manufacturing? If you are currently within 30 miles of Austin, TX and authorized to work without sponsorship, submit your resume today to join our innovative team!

Indotronix logo

About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US