AI/ML Engineer Contract Position Seeking AI/ML Engineers with 3-7 years of hands on experience building scalable ML and GenAI solutions. Candidates must have strong healthcare domain exposure (claims ...
AI/ML Engineer Contract Position Seeking AI/ML Engineers with 3-7 years of hands on experience building scalable ML and GenAI solutions. Candidates must have strong healthcare domain exposure (claims ...
The ML Engineer will be responsible for developing, training, deploying, and operationalizing machine learning systems across Weyerhaeuser's AI portfolio, including pricing optimization, industrial ...
The ML Engineer will be responsible for developing, training, deploying, and operationalizing machine learning systems across Weyerhaeuser's AI portfolio, including pricing optimization, industrial ...
ML Engineer Stamford, Connecticut, United States About the Job Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales ...
ML Engineer Stamford, Connecticut, United States About the Job Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales ...
AI/ML Engineer Location: Mason, OH / Woodland Hills, CA (Onsite) Duration: Full-time only Must Have Technical/Functional Skills: * Python (Expert level) * Machine Learning & Model Training * Training ...
AI/ML Engineer Location: Mason, OH / Woodland Hills, CA (Onsite) Duration: Full-time only Must Have Technical/Functional Skills: * Python (Expert level) * Machine Learning & Model Training * Training ...
AI/ML Engineer Location: Mason, OH / Woodland Hills, CA (Onsite) Duration: Full-time only Must Have Technical/Functional Skills: * Python (Expert level) * Machine Learning & Model Training * Training ...
AI/ML Engineer Location: Mason, OH / Woodland Hills, CA (Onsite) Duration: Full-time only Must Have Technical/Functional Skills: * Python (Expert level) * Machine Learning & Model Training * Training ...
ML Engineer Stamford, Connecticut, United States About the Job Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales ...
ML Engineer Stamford, Connecticut, United States About the Job Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales ...
Staff ML Engineer We're building AI&ML-powered products that will transform how Group 1001 approaches pricing optimization, claims automation, and risk intelligence. To do this at scale, we need ...
Staff ML Engineer We're building AI&ML-powered products that will transform how Group 1001 approaches pricing optimization, claims automation, and risk intelligence. To do this at scale, we need ...
ML Engineer Santa Clara, California, United States About the Job Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside ...
ML Engineer Santa Clara, California, United States About the Job Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside ...
About the job ML Engineer Our Client Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI ...
About the job ML Engineer Our Client Is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and service teams work. Their AI ...
ML Engineer
Richardson, TX · Hybrid
ML Engineer Location: Richardson, TX 75082 Duration: 12+ Months Talent should have 7+ years of experience with a strong foundation in ML inference, deployment, and quality validation. Should be ...
New
ML Engineer
Richardson, TX · Hybrid
ML Engineer Location: Richardson, TX 75082 Duration: 12+ Months Talent should have 7+ years of experience with a strong foundation in ML inference, deployment, and quality validation. Should be ...
New
AI/ML Engineer
Manhattan, NY · Hybrid
AI/ML Engineer * Location: New York / Atlanta * Job: Fulltime / Hybrid Our client is looking to hire a strong AI and ML Engineer with vast experience in ML, DL, NLP and Gen-AI solutions. This ...
AI/ML Engineer
Manhattan, NY · Hybrid
AI/ML Engineer * Location: New York / Atlanta * Job: Fulltime / Hybrid Our client is looking to hire a strong AI and ML Engineer with vast experience in ML, DL, NLP and Gen-AI solutions. This ...
ML Engineer
Malvern, PA · Hybrid
Malvern, PA - hybrid onsite Duration: 6 months ML Engineer Must have Skills: ML models AWS SageMaker AWS services Responsibilities - Design develop and optimize complex data pipelines using machine ...
ML Engineer
Malvern, PA · Hybrid
Malvern, PA - hybrid onsite Duration: 6 months ML Engineer Must have Skills: ML models AWS SageMaker AWS services Responsibilities - Design develop and optimize complex data pipelines using machine ...
ML Engineer Austin, Texas, United States About the Job Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and ...
ML Engineer Austin, Texas, United States About the Job Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales and ...
Lead ML Engineer
$98K - $129K/yr
Lead ML Engineer Job Location: Blue Ash, OH - Onsite Job Type: Fulltime REQUIRED SKILLS * Languages: Python (required); SQL; optional Java/Scala * ML/MLOps: MLflow (or equivalent), model registry ...
Lead ML Engineer
$98K - $129K/yr
Lead ML Engineer Job Location: Blue Ash, OH - Onsite Job Type: Fulltime REQUIRED SKILLS * Languages: Python (required); SQL; optional Java/Scala * ML/MLOps: MLflow (or equivalent), model registry ...
ML Engineer Palo Alto, California, United States About the Job Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales ...
ML Engineer Palo Alto, California, United States About the Job Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside sales ...
ML Engineer Greenwich, Connecticut, United States About the Job Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside ...
ML Engineer Greenwich, Connecticut, United States About the Job Our client is a rapidly growing Tier 1 VC backed startup based in New York with $60 million in funding revolutionizing how outside ...
AI/ML Engineer
Bellevue, WA · On-site
As an AI / ML Engineer, you will work closely with our ML and Data Engineers to turn Machine Learning models and data pipelines into robust software applications. You will play a central role in ...
Quick apply
AI/ML Engineer
Bellevue, WA · On-site
As an AI / ML Engineer, you will work closely with our ML and Data Engineers to turn Machine Learning models and data pipelines into robust software applications. You will play a central role in ...
Own production health: drift detection, performance regression, rollback strategies, and incident response." * 5+ years software engineering with 2+ years shipping ML models to production. * Strong ...
Own production health: drift detection, performance regression, rollback strategies, and incident response." * 5+ years software engineering with 2+ years shipping ML models to production. * Strong ...
AI/ML ENGINEER
Reston, VA · On-site
AI/ML ENGINEER Location: Reston,VA Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract Type: W2 We are seeking a highly skilled and motivated AI/ML Engineer to join our team and drive the ...
AI/ML ENGINEER
Reston, VA · On-site
AI/ML ENGINEER Location: Reston,VA Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract Type: W2 We are seeking a highly skilled and motivated AI/ML Engineer to join our team and drive the ...
ML Engineer
Minneapolis, MN · On-site
Own production health: drift detection, performance regression, rollback strategies, and incident response." * 5+ years software engineering with 2+ years shipping ML models to production. * Strong ...
ML Engineer
Minneapolis, MN · On-site
Own production health: drift detection, performance regression, rollback strategies, and incident response." * 5+ years software engineering with 2+ years shipping ML models to production. * Strong ...
Ml Engineer information
See salary details
$33K - $42.9K
7% of jobs
$42.9K - $52.8K
2% of jobs
$52.8K - $62.7K
11% of jobs
$65.9K is the 25th percentile. Wages below this are outliers.
$62.7K - $72.6K
16% of jobs
$72.6K - $82.5K
14% of jobs
The median wage is $82.9K / yr.
$82.5K - $92.5K
14% of jobs
$92.5K - $102.4K
11% of jobs
$104.1K is the 75th percentile. Wages above this are outliers.
$102.4K - $112.3K
7% of jobs
$112.3K - $122.2K
12% of jobs
$122.2K - $132.1K
4% of jobs
$132.1K - $142K
3% of jobs
$33K
$89.2K
$142K
How much do ml engineer jobs pay per year?
As of Jun 16, 2026, the average yearly pay for ml engineer in the United States is $89,183.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $109,000.00 per year, depending on experience, location, and employer.
What engineers make $500,000?
Senior engineers in fields such as software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with extensive experience, specialized skills, and in high-demand industries like technology and finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant growth potential.
What does an ML engineer do?
An ML engineer designs, develops, and deploys machine learning models and algorithms to solve specific problems. They work with data preprocessing, model training, evaluation, and optimization, often using tools like Python, TensorFlow, or PyTorch. Their role involves integrating models into production systems and ensuring their performance and scalability.
What are the key skills and qualifications needed to thrive as an ML Engineer, and why are they important?
To thrive as an ML Engineer, you need a solid background in mathematics, statistics, computer science, and experience with machine learning algorithms, often supported by a degree in a related field. Familiarity with programming languages like Python or R, ML frameworks such as TensorFlow or PyTorch, and data processing tools is typically required, with relevant certifications being a plus. Strong problem-solving, critical thinking, and communication skills help you translate complex data insights into actionable solutions and work effectively in teams. These abilities ensure accurate model development, effective deployment, and successful collaboration on data-driven projects.
What is a $900,000 AI job?
A $900,000 AI job typically refers to highly senior roles such as Lead AI Engineer or AI Director, which involve overseeing large-scale AI projects, developing advanced machine learning models, and managing teams. These positions often require extensive experience, expertise in deep learning frameworks, and may include stock options or bonuses as part of compensation.
What are ML Engineers?
ML Engineers, or Machine Learning Engineers, are professionals who design, build, and deploy machine learning models into production systems. They bridge the gap between data science and software engineering, ensuring that machine learning solutions are scalable, reliable, and efficient. ML Engineers work with large datasets, develop algorithms, and optimize models for performance. They also collaborate with data scientists, software developers, and business stakeholders to solve real-world problems using artificial intelligence.
What is the difference between Ml Engineer vs Data Scientist?
| Aspect | ML Engineer | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworks | Bachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills |
| Work Environment | Develops, deploys, and maintains ML models in production systems | Analyzes data, builds models, and provides insights for decision-making |
| Employer & Industry Usage | Tech companies, startups, and enterprises deploying ML solutions | Research institutions, tech firms, and industries relying on data analysis |
While both roles involve working with data and machine learning, ML Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights to inform business decisions. The roles often overlap but differ in their core responsibilities and focus areas.
What are some common challenges Machine Learning Engineers face when deploying models to production?
Machine Learning Engineers often encounter challenges such as ensuring models remain accurate over time as data changes (known as data drift), optimizing models for speed and scalability, and integrating models seamlessly with existing software systems. Additionally, maintaining model performance in real-world environments can require continuous monitoring, retraining, and close collaboration with data engineers and DevOps teams. Addressing these challenges typically involves robust testing, using automated pipelines, and staying up-to-date with the latest MLOps best practices.
Are ML engineers still in demand?
Yes, ML engineers are currently in high demand due to the growth of artificial intelligence and data-driven applications. They are often required to have skills in programming, machine learning frameworks, and data analysis, with many opportunities across industries such as tech, finance, and healthcare.
More about Ml Engineer jobs
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What states have the most Ml Engineer jobs? States with the most job openings for Ml Engineer jobs include:
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Job description
Job Description:
AI/ML Engineer
Contract Position
Seeking AI/ML Engineers with 3-7 years of hands on experience building scalable ML and GenAI solutions. Candidates must have strong healthcare domain exposure (claims, clinical data, provider/payor workflows). Prior Optum/UHG/UHC experience is highly preferred.
Key Responsibilities
AI/ML Engineering
• Build and deploy production grade ML, NLP, and LLM/GenAI models.
• Implement modern AI architecture patterns: microservices, feature stores, real time/batch inference, embeddings, and retrieval pipelines.
• Convert functional requirements into scalable AI solutions.
Model Development
• Develop and optimize models for claims automation, fraud detection, risk prediction, provider optimization, and document AI.
• Ensure models meet performance, reliability, and scalability standards.
Data & Integration
• Work with data engineering teams to integrate models with healthcare datasets (claims, EHR, clinical notes, PA/UM workflows).
• Ensure PHI/PII safe, compliant pipelines.
MLOps / Platform
• Implement CI/CD for ML/LLM workloads using MLflow, Vertex, SageMaker, Databricks, Airflow, Argo, and Kubernetes.
• Apply LLM Ops foundations for RAG and GenAI use cases.
Collaboration & Delivery
• Work cross functionally with product, cloud engineering, SMEs, and clinical teams.
• Participate in Agile processes and document reusable patterns and decisions.
Required Skills
• 3-7 years AI/ML engineering experience.
• Strong skills in Python (Py Torch/TensorFlow), NLP/LLMs/transformers, GenAI tooling, SQL, and data pipelines.
• Experience deploying ML/LLM systems in Azure/AWS/GCP.
• Solid understanding of U.S. healthcare data and compliant solution design (HIPAA, RBAC, audit logging).
• Experience working in ML Ops / LLM Ops environments.
AI/ML Engineer
Contract Position
Seeking AI/ML Engineers with 3-7 years of hands on experience building scalable ML and GenAI solutions. Candidates must have strong healthcare domain exposure (claims, clinical data, provider/payor workflows). Prior Optum/UHG/UHC experience is highly preferred.
Key Responsibilities
AI/ML Engineering
• Build and deploy production grade ML, NLP, and LLM/GenAI models.
• Implement modern AI architecture patterns: microservices, feature stores, real time/batch inference, embeddings, and retrieval pipelines.
• Convert functional requirements into scalable AI solutions.
Model Development
• Develop and optimize models for claims automation, fraud detection, risk prediction, provider optimization, and document AI.
• Ensure models meet performance, reliability, and scalability standards.
Data & Integration
• Work with data engineering teams to integrate models with healthcare datasets (claims, EHR, clinical notes, PA/UM workflows).
• Ensure PHI/PII safe, compliant pipelines.
MLOps / Platform
• Implement CI/CD for ML/LLM workloads using MLflow, Vertex, SageMaker, Databricks, Airflow, Argo, and Kubernetes.
• Apply LLM Ops foundations for RAG and GenAI use cases.
Collaboration & Delivery
• Work cross functionally with product, cloud engineering, SMEs, and clinical teams.
• Participate in Agile processes and document reusable patterns and decisions.
Required Skills
• 3-7 years AI/ML engineering experience.
• Strong skills in Python (Py Torch/TensorFlow), NLP/LLMs/transformers, GenAI tooling, SQL, and data pipelines.
• Experience deploying ML/LLM systems in Azure/AWS/GCP.
• Solid understanding of U.S. healthcare data and compliant solution design (HIPAA, RBAC, audit logging).
• Experience working in ML Ops / LLM Ops environments.