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Sr Ml Engineer Jobs (NOW HIRING)

Lyra Health

Sr. ML Engineer (MLOps)

$143K - $197K/yr

We are looking for an experienced Senior ML Engineer who is eager to build the tooling and services necessary to deliver ML and generative AI based products that make a significant impact within the ...

Compunnel

ML Engineer

Aliso Viejo, CA · On-site

ML Engineer I JOB SUMMARY Under guidance from Senior ML Engineers, develop ML models that provides accurate results with controls to solve the business problem identified, using state of art ...

Mimecast Limited

Senior ML Ops Engineer

Columbus, OH · On-site

$148 - $222/hr

As a Senior ML Ops Engineer at Mimecast, you will be a technical leader on the AI Enablement Platform (AIP) team, responsible for ensuring that machine learning models and AI agents are deployed ...

Grid Dynamics Holdings

Senior ML Engineer

$107K - $146K/yr

Build and maintain ML pipelines, tooling, and evaluation infrastructure. * Collaborate with product, engineering, and research teams to translate business goals into measurable ML objectives.

New

Adelphi

Senior ML Engineer

Washington, DC · On-site

$120 - $150/hr

The Forward Deployed Senior Machine Learning Engineer position requires a mix of software ... Build and deploy ML services leveraging LLMs, embeddings, RAG, and agent orchestration into ...

IntelePeer

Senior ML Engineer

Dania Beach, FL · On-site

$102K - $141K/yr

IntelePeer is building AI-native communications products and we need an ML engineer who gets their hands dirty. This is not a research role -- you will own the full lifecycle of machine learning ...

IntelePeer

Senior ML Engineer

Dania Beach, FL · On-site +1

$102K - $141K/yr

IntelePeer is building AI-native communications products and we need an ML engineer who gets their hands dirty. This is not a research role - you will own the full lifecycle of machine learning ...

Waystar

Senior ML Engineer

Atlanta, GA · On-site

$100K - $138K/yr

They are seeking a Senior Machine Learning Engineer to develop robust AI systems utilizing Language Models and agentic architectures, focusing on the entire ML pipeline from data extraction to ...

Mimecast

Senior ML Ops Engineer

Columbus, OH · On-site

$100K - $138K/yr

Senior ML Ops Engineer Overview As a Senior ML Ops Engineer at Mimecast, you will be a technical leader on the AI Enablement Platform (AIP) team, responsible for ensuring that machine learning models ...

Mimecast

Senior ML Ops Engineer

Columbus, OH

$100K - $138K/yr

Senior ML Ops Engineer Overview As a Senior ML Ops Engineer at Mimecast, you will be a technical leader on the AI Enablement Platform (AIP) team, responsible for ensuring that machine learning models ...

Texas State Library and Archives Commision

Sr ML Engineer

$107K - $146K/yr

... engineering practices across the team and build cloud native software for ML pipelines Contribute to and re-use community best practices Example Projects Customer Segmentation Automated text ...

Mixpeek

Senior ML Engineer

Manhattan, NY · On-site

$180 - $240/hr

The Forward Deployed Senior Machine Learning Engineer position requires a mix of software ... Build and deploy ML services leveraging LLMs, embeddings, RAG, and agent orchestration into ...

Gridware

ML Infrastructure Engineer

San Francisco, CA · On-site

$190K - $250K/yr

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 ...

Gridware

ML Infrastructure Engineer

San Francisco, CA · On-site

$190K - $250K/yr

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 ...

Gridware

ML Infrastructure Engineer

San Francisco, CA · On-site

$190K - $250K/yr

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 ...

Waystar, Inc

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 ...

Waystar, Inc

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 ...

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Showing results 21-40

All JobsSr Ml Engineer Jobs

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 21, 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.
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What states have the most Sr Ml Engineer jobs?

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What job categories do people searching Sr Ml Engineer jobs look for?

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Sr Ml Engineer jobs near you
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.

Gentoro | Senior ML Engineer

Palm Venture Studios

San Francisco, CA • On-site

$123K - $169K/yr

Full-time

Re-posted 18 days ago

Job description

About Us
Gentoro was founded by a team with deep experience in enterprise infrastructure and AI, with leadership roots at companies including Splunk, WebLogic, and Asurion. Gentoro helps organizations simplify AI integration into real-world systems, with the observability, manageability, and security required for production deployments. As agentic workflows shift from experimentation to real execution, Gentoro helps teams enforce governance, maintain auditability, and deliver reliable outcomes at scale.
About the Role
We are looking for a visionary Senior ML Engineer who will bridge the gap between high-level architecture and hands-on execution, specifically focusing on simplifying enterprise integration for AI agents. As a key hire during our current growth phase, you will define the standards for how our platform scales and interacts with other enterprise applications.
What You'll Do
  • Design and implement multi-agent systems and orchestration layers
  • Build and operate observability stacks (e.g., OpenTelemetry) to monitor agent reasoning paths, tool usage, and performance in real-time
  • Develop and enforce technical safety mechanisms-such as input/output filtering and behavioral boundaries-to mitigate risks like hallucinations, prompt injections, and bias
  • Build visualizations to convey interesting behavior of agentic systems
  • Implement fallback mechanisms, human-in-the-loop (HITL) checkpoints, and automated recovery for agentic failures
  • Implement best practices for LLMOps, monitoring, and performance tuning of AI models in live environments
  • Automate SDLC processes and CI/CD pipelines, elevate QA standards, and develop incident response protocols to enable high velocity, availability and reliability of our platform

Who You Are
  • You thrive in the "ambiguity phase" of a startup but build with the discipline of an enterprise-grade engineer.
  • You are a "force multiplier" who elevates the technical bar for the entire team.
  • You are obsessed with the practical application of AI, moving beyond demos to create reliable, production-hardened products
  • You have a high-confidence, low-ego mindset

Requirements
  • 5+ years of senior engineering experience at a fast-paced, high-growth technology startup that has successfully scaled from early stage through Series A/B funding (or equivalent growth phase)
  • 2+ years of ML, specifically training or fine-tuning LLM models, embeddings; building clustering models; utilizing evaluation frameworks to quantify performance
  • Proficiency in agent orchestration and memory-augmented systems.
  • Experience using feedback loops to continuously improve ML systems
  • Thrives in startup ambiguity while maintaining the discipline of an enterprise-grade engineer
  • Acts as a force multiplier who elevates the technical bar for the entire team
  • Obsessed with practical application of AI systems and capable of building enterprise solutions that solve real-world customer problems

Apply