ML Engineer
Malvern, PA · On-site
$100K - $135K/yr
Roles & Responsibilities Senior AWS ML Engineer with 8+ years of experience in • Design, build, and deploy scalable Machine Learning solutions on AWS using SageMaker, ensuring high performance ...
ML Engineer
Malvern, PA · On-site
$100K - $135K/yr
Roles & Responsibilities Senior AWS ML Engineer with 8+ years of experience in • Design, build, and deploy scalable Machine Learning solutions on AWS using SageMaker, ensuring high performance ...
The AI/ML Engineer collaborates closely with data scientists, dashboard teams, developers, and PMO leadership to ensure AI/ML models are usable, optimized, and appropriately embedded into mission ...
The AI/ML Engineer collaborates closely with data scientists, dashboard teams, developers, and PMO leadership to ensure AI/ML models are usable, optimized, and appropriately embedded into mission ...
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 ...
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 ...
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 ...
AI/ML Engineer
Chantilly, VA · On-site
The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles across various domains, including generative Al, classification, prediction, computer vision, natural ...
AI/ML Engineer
Chantilly, VA · On-site
The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles across various domains, including generative Al, classification, prediction, computer vision, natural ...
They are seeking a ML Engineer to be a founding member of their Intelligence Org, focusing on building machine learning systems that enhance governance and security capabilities within the Docker ...
They are seeking a ML Engineer to be a founding member of their Intelligence Org, focusing on building machine learning systems that enhance governance and security capabilities within the Docker ...
AI/ML Engineer
Austin, TX · On-site
Join Vancor AI as a AI/ML Engineer. You'll work on models, RAG pipelines, evaluation, and MLOps for enterprise workloads. You'll work with cross-functional teams to deliver secure, scalable solutions ...
AI/ML Engineer
Austin, TX · On-site
Join Vancor AI as a AI/ML Engineer. You'll work on models, RAG pipelines, evaluation, and MLOps for enterprise workloads. You'll work with cross-functional teams to deliver secure, scalable solutions ...
AI/ML Engineer
Chantilly, VA · On-site
The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles across various domains, including generative Al, classification, prediction, computer vision, natural ...
AI/ML Engineer
Chantilly, VA · On-site
The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles across various domains, including generative Al, classification, prediction, computer vision, natural ...
ML Engineer
San Francisco, CA · On-site
They are seeking a strong ML Engineer to build agentic AI systems that reason about geometry and physics, develop generative models, and create systems for complex structured data. This role offers ...
ML Engineer
San Francisco, CA · On-site
They are seeking a strong ML Engineer to build agentic AI systems that reason about geometry and physics, develop generative models, and create systems for complex structured data. This role offers ...
AI/ML Engineer
Woodland Hills, CA · On-site
$140K - $165K/yr
The engineer will work with both structured and unstructured data, building pipelines for document extraction, parsing, and chunking, and integrating ML models with Vector Databases and MongoDB. An ...
AI/ML Engineer
Woodland Hills, CA · On-site
$140K - $165K/yr
The engineer will work with both structured and unstructured data, building pipelines for document extraction, parsing, and chunking, and integrating ML models with Vector Databases and MongoDB. An ...
AI/ML Engineer
Chantilly, VA · On-site
The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles across various domains, including generative Al, classification, prediction, computer vision, natural ...
Quick apply
AI/ML Engineer
Chantilly, VA · On-site
The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles across various domains, including generative Al, classification, prediction, computer vision, natural ...
Back AI/ML Engineer Intelligent Apps Pittsburgh, Pennsylvania Direct Hire On-Site Aug 20, 2026 AI/ML Engineer Computer Enterprises, Inc. has a Pittsburgh, PA and unanticipated locations throughout ...
Back AI/ML Engineer Intelligent Apps Pittsburgh, Pennsylvania Direct Hire On-Site Aug 20, 2026 AI/ML Engineer Computer Enterprises, Inc. has a Pittsburgh, PA and unanticipated locations throughout ...
The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles across various domains, including generative Al, classification, prediction, computer vision, natural ...
The AI/ML Engineer shall design, develop, test, evaluate, and deploy Al/ML models and ensembles across various domains, including generative Al, classification, prediction, computer vision, natural ...
ML Engineer 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our ...
ML Engineer 3M Health Care is now Solventum At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our ...
ML Engineer
Irving, TX · On-site
Job Title: ML Engineer Work Location: Irving,TX (Hybrid) Duration: 8+ Months * Development and Implement data pipelines and ML pipelines to facilitate model inference (both Real-time and batch)
ML Engineer
Irving, TX · On-site
Job Title: ML Engineer Work Location: Irving,TX (Hybrid) Duration: 8+ Months * Development and Implement data pipelines and ML pipelines to facilitate model inference (both Real-time and batch)
AI/ML Engineer
Minneapolis, MN · On-site
AI/ML Engineer Duration: 3-month contract (Could be extended for 6 months before conversion) Location: Minneapolis, MN (Remote/hybrid) Role Objective We are seeking a hands-on AI/ML Engineer to ...
Quick apply
AI/ML Engineer
Minneapolis, MN · On-site
AI/ML Engineer Duration: 3-month contract (Could be extended for 6 months before conversion) Location: Minneapolis, MN (Remote/hybrid) Role Objective We are seeking a hands-on AI/ML Engineer to ...
Core responsibilities As a Staff AI/ML Engineer, you will define the Technology AI/ML engineering approach and solve complex model development, training infrastructure, and AI system reliability ...
Core responsibilities As a Staff AI/ML Engineer, you will define the Technology AI/ML engineering approach and solve complex model development, training infrastructure, and AI system reliability ...
Staff AI/ML Engineer
Seattle, WA · On-site
Core responsibilities As a Staff AI/ML Engineer, you will define the Technology AI/ML engineering approach and solve complex model development, training infrastructure, and AI system reliability ...
Staff AI/ML Engineer
Seattle, WA · On-site
Core responsibilities As a Staff AI/ML Engineer, you will define the Technology AI/ML engineering approach and solve complex model development, training infrastructure, and AI system reliability ...
Staff AI/ML Engineer
Seattle, WA · On-site
Core responsibilities As a Staff AI/ML Engineer, you will define the Technology AI/ML engineering approach and solve complex model development, training infrastructure, and AI system reliability ...
Staff AI/ML Engineer
Seattle, WA · On-site
Core responsibilities As a Staff AI/ML Engineer, you will define the Technology AI/ML engineering approach and solve complex model development, training infrastructure, and AI system reliability ...
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 Sep 13, 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 is an ML engineer?
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 are the key skills and qualifications needed to thrive as an ML engineer?
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 are some common challenges ML 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.
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.
Are machine learning engineers still in demand?
Machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. They typically require skills in programming, data analysis, and frameworks like TensorFlow or PyTorch, and often work in environments that emphasize continuous learning and adaptation. The demand is expected to remain strong as organizations increasingly rely on machine learning solutions for competitive advantage.
What does a machine learning engineer do?
A machine learning engineer designs, develops, and deploys machine learning models to solve specific problems using large datasets. They work with programming languages like Python or Java, utilize frameworks such as TensorFlow or PyTorch, and often collaborate with data scientists and software engineers to integrate models into applications.
More about Ml Engineer jobs
What cities are hiring for Ml Engineer jobs?
Cities with the most Ml Engineer job openings:
What are the most commonly searched types of Ml Engineer jobs?
The most popular types of Ml Engineer jobs are:
Who are the top companies hiring for Ml Engineer jobs?
The top employers for Ml Engineer jobs are:
What states have the most Ml Engineer jobs?
States with the most job openings for Ml Engineer jobs include:
What are popular job titles related to Ml Engineer jobs?
For Ml Engineer jobs, the most frequently searched job titles are:
ML Engineer
Malvern, PA • On-site
Tata Consultancy Service Limited
• IT Services • 10K+ employees10,000+ employees
$100K - $135K/yr
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 19 days ago
Tata Consultancy Services rating
6.5
Based on 21 frontline employees who took The Breakroom Quiz
Job description
Must Have Technical/Functional Skills
• Amazon SageMaker Expertise Strong experience with SageMaker Studio, Training Jobs, Pipelines, Model Registry, Feature Store, and Endpoint Deployment.
• Machine Learning & Deep Learning Hands-on experience building, training, tuning, and deploying ML/DL models using Scikit-learn, XGBoost, TensorFlow, and PyTorch.
• AWS Cloud Services Proficiency in S3, EC2, IAM, Lambda, ECR, ECS/EKS, CloudWatch, and Step Functions for ML workloads.
• MLOps & CI/CD Experience implementing automated ML pipelines, model versioning, deployment automation, monitoring, and retraining workflows.
• Python Programming Strong coding skills with Python and ML libraries such as Pandas, NumPy, Scikit-learn, and Boto3.
• Data Engineering & Analytics Experience with data ingestion, transformation, and processing using AWS Glue, Athena, Redshift, and EMR.
• Model Monitoring & Governance Expertise in data drift detection, model performance monitoring, explainability, and governance using SageMaker monitoring capabilities.
• Solution Architecture & Leadership Ability to design scalable end-to-end ML solutions on AWS, lead technical discussions, mentor teams, and collaborate with business stakeholders.
Roles & Responsibilities
Senior AWS ML Engineer with 8+ years of experience in
• Design, build, and deploy scalable Machine Learning solutions on AWS using SageMaker, ensuring high performance, reliability, and security.
• Develop and maintain end-to-end ML pipelines, including data preparation, model training, hyperparameter tuning, deployment, and monitoring.
• Collaborate with data scientists, engineers, and business stakeholders to operationalize ML models, automate workflows, and drive business outcomes through AI/ML solutions.
Generic Managerial Skills, If any
• Strong leadership and stakeholder management skills, with experience leading cross-functional teams and driving delivery excellence.
• Proven effective communication with business and technical stakeholders.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $100,000 - 135,000 a year
• Amazon SageMaker Expertise Strong experience with SageMaker Studio, Training Jobs, Pipelines, Model Registry, Feature Store, and Endpoint Deployment.
• Machine Learning & Deep Learning Hands-on experience building, training, tuning, and deploying ML/DL models using Scikit-learn, XGBoost, TensorFlow, and PyTorch.
• AWS Cloud Services Proficiency in S3, EC2, IAM, Lambda, ECR, ECS/EKS, CloudWatch, and Step Functions for ML workloads.
• MLOps & CI/CD Experience implementing automated ML pipelines, model versioning, deployment automation, monitoring, and retraining workflows.
• Python Programming Strong coding skills with Python and ML libraries such as Pandas, NumPy, Scikit-learn, and Boto3.
• Data Engineering & Analytics Experience with data ingestion, transformation, and processing using AWS Glue, Athena, Redshift, and EMR.
• Model Monitoring & Governance Expertise in data drift detection, model performance monitoring, explainability, and governance using SageMaker monitoring capabilities.
• Solution Architecture & Leadership Ability to design scalable end-to-end ML solutions on AWS, lead technical discussions, mentor teams, and collaborate with business stakeholders.
Roles & Responsibilities
Senior AWS ML Engineer with 8+ years of experience in
• Design, build, and deploy scalable Machine Learning solutions on AWS using SageMaker, ensuring high performance, reliability, and security.
• Develop and maintain end-to-end ML pipelines, including data preparation, model training, hyperparameter tuning, deployment, and monitoring.
• Collaborate with data scientists, engineers, and business stakeholders to operationalize ML models, automate workflows, and drive business outcomes through AI/ML solutions.
Generic Managerial Skills, If any
• Strong leadership and stakeholder management skills, with experience leading cross-functional teams and driving delivery excellence.
• Proven effective communication with business and technical stakeholders.
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $100,000 - 135,000 a year
What Tata Consultancy Services employees say
Pay
Benefits
Hours and flexibility
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About Tata Consultancy Services
Sourced by ZipRecruiter
Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.