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Sr Ml Engineer Jobs (NOW HIRING)

Role Description As a Senior ML Infrastructure Engineer, you will work directly in the Automation org with the core ML, Ops, and Analytics teams to help improve and build out the infrastructure ...

Senior ML Engineer II

Atlanta, GA · On-site

$120 - $160/hr

Overview We are seeking a highly skilled and innovative Senior ML Engineer with a passion for building robust, efficient, and domain‑specific AI systems using Language Models (LMs) and agentic ...

Senior ML Engineer

Atlanta, GA · On-site

$100 - $160/hr

Job Summary We are seeking a highly skilled and innovative Machine Learning Engineer to develop end‑to‑end ML pipelines, fine‑tune language models, design agentic architectures, and deploy ...

Senior ML Engineer II

Atlanta, GA · On-site

$100K - $138K/yr

ABOUT THIS POSITION We are seeking a highly skilled and innovative Senior ML Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language Models (LMs) and ...

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

... Engineering, with a strong focus on NLP. * Proven experience with Language Models (LMs), including model selection, fine-tuning, and deployment. * Strong proficiency in Python and familiarity with ML ...

Senior ML Engineer II

Atlanta, GA · On-site

$100K - $138K/yr

ABOUT THIS POSITION We are seeking a highly skilled and innovative Senior ML Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language Models (LMs) and ...

Senior ML Engineer II

Atlanta, GA · On-site

$100K - $138K/yr

ABOUT THIS POSITION We are seeking a highly skilled and innovative Senior ML Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language Models (LMs) and ...

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

... Engineering, with a strong focus on NLP. * Proven experience with Language Models (LMs), including model selection, fine-tuning, and deployment. * Strong proficiency in Python and familiarity with ML ...

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

... Engineering, with a strong focus on NLP. * Proven experience with Language Models (LMs), including model selection, fine-tuning, and deployment. * Strong proficiency in Python and familiarity with ML ...

Senior ML Engineer II

Atlanta, GA · On-site

$100K - $138K/yr

ABOUT THIS POSITION We are seeking a highly skilled and innovative Senior ML Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language Models (LMs) and ...

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

... Engineering, with a strong focus on NLP. * Proven experience with Language Models (LMs), including model selection, fine-tuning, and deployment. * Strong proficiency in Python and familiarity with ML ...

Senior, ML Engineer - Auto Tagger

$107K - $146K/yr

The Senior ML Engineer - Auto Tagger will be responsible for architecting data pipelines and developing algorithms to optimize the processing of vehicle data, ensuring data integrity and facilitating ...

Senior ML Infrastructure Engineer

New York, NY · On-site

$118K - $161K/yr

Senior ML Infrastructure Engineer Background Rebar is building the next-generation operating system for commercial HVAC, electrical, and plumbing suppliers and subcontractors. Over the past year, our ...

Senior ML Engineer

San Francisco, CA · On-site

$178K - $246K/yr

This role is for a Senior Machine Learning Engineer within the Trust Intelligence Platform team who will architect data-driven strategies for threat detection across the security organization. The ...

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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 Aug 20, 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.

Are Sr ML engineers still in demand?

Senior Machine Learning (ML) engineers are currently in high demand due to the growth of AI and data-driven applications. They are sought after for their expertise in developing models, deploying AI solutions, and working with tools like TensorFlow and PyTorch, often requiring advanced skills and relevant certifications. The demand is expected to remain strong as organizations continue to adopt AI technologies across industries.

How much do senior ML engineers make?

Senior machine learning engineers typically earn between $110,000 and $160,000 annually, depending on experience, location, and industry. Salaries can increase with expertise in tools like TensorFlow or PyTorch and advanced certifications.
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 August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

ML Infrastructure Engineer

Gridware

San Francisco, CA • On-site

$190K - $250K/yr

Full-time

Re-posted 12 days ago


Job description

About Gridware
Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware’s advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.

Role Description
As a Senior ML Infrastructure Engineer, you will work directly in the Automation org with the core ML, Ops, and Analytics teams to help improve and build out the infrastructure around model deployment and monitoring. This role is essential to helping scale out the amount of time saving’s Gridware brings to customers.
Responsibilities
  • Design, build, and maintain the infrastructure, tooling, and workflows that enable reliable, scalable deployment of ML models to production.
  • Develop monitoring and observability systems to track model performance, data drift, data quality, and overall system health.
  • Create and maintain end-to-end testing frameworks and simulation environments to validate models and pipelines prior to deployment.
  • Work closely with Data Engineering and Platform Engineering teams to ensure ML systems integrate cleanly with broader Gridware infrastructure and operational standards.
  • Improve CI/CD pipelines for ML workloads, ensuring reproducibility, safe rollout, and automated rollback strategies.
Required Skills
  • 5+ years of experience building production ML infrastructure
  • Strong software engineering skills and proficiency in Python
  • Experience with cloud platforms (AWS) and container orchestration (Kubernetes)
  • Familiarity with feature stores, model registries, or centralized metadata systems (i.e. MLFlow)
Senior ML Engineer Base Salary- $190,000-$210,000
 
Staff ML Engineer Base Salary- $245,000-$250,000.
**At this time, Gridware is unable to provide visa sponsorship or immigration support for this role. We’re only able to consider candidates who are currently authorized to work in the country of employment without visa sponsorship now or in the future.**

This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!
 
Gridware Technologies Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law.
 
Benefits
Health, Dental & Vision (Gold and Platinum with some providers plans fully covered) 
Paid parental leave 
Alternating day off (every other Monday)
“Off the Grid”, a two week per year paid break for all employees. 
Commuter allowance 
Company-paid training