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Ml Engineer Jobs (NOW HIRING)

ML Engineer Location: Remote Job Type: Contract Experience: 12+years * Client is looking for an ML Engineer with the skills mentioned below; all are mandatory * ML - Python, Any framework PyTorch ...

ML Engineer Location: Omaha, NE Clearance Level: Active DoD Top Secret Overview: At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we ...

ML Engineer Location: Omaha, NE Clearance Level: Active DoD Top Secret Overview: At Agile Defense we know that action defines the outcome and new challenges require new solutions. That's why we ...

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 role At Mach9, ML Engineers build the perception models at the core of our AI-enabled CAD system. We build models to extract 3D object and line features from dense LiDAR point clouds and imagery.

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 role involves implementing AI/ML models in various environments and collaborating with product and engineering teams to translate prototypes into functional code. Responsibilities : • Work with ...

ML ENGINEER Job Location Primary: Tampa - FL/ Alternate GA Job summary - - Typically, minimum of 4 years - Professional Experience in Coding, Designing, Developing and Analyzing Data in DS setting ...

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 ...

Principal ML Engineer Locations: Waltham, MA (Hybrid) About the Role We are looking for a Principal ML Engineer to design, build, and operationalize machine learning platforms and pipelines that ...

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 ...

Tata Consultancy Services is seeking a highly skilled Data Engineer with a passion for AI/ML. The role involves implementing AI/ML models in various environments, collaborating with teams to ...

Tata Consultancy Services is seeking an AI/ML Engineer to design and develop AI agents and machine learning solutions. The role requires strong engineering skills and expertise in deploying AI ...

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 ...

As a Staff ML Engineer, you'll focus on the MLOps and infrastructure layer that makes ML production-ready: model serving, feature pipelines, experiment tracking, and CI/CD for ML. You'll help shape ...

As a Staff ML Engineer, you'll focus on the MLOps and infrastructure layer that makes ML production-ready: model serving, feature pipelines, experiment tracking, and CI/CD for ML. You'll help shape ...

Job Title: AI / ML Engineer Location: New York, NY , Jersey City, NJ, Philadelphia, PA ,Boston, MA, Hartford, CT Duration: 12+ Months Contract NO C2C ONLY W2 Job Summary: We are seeking an ...

Tata Consultancy Services is seeking an AI/ML Engineer to design and implement AI solutions. The role requires strong engineering skills and expertise in AI technologies to enhance enterprise ...

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 ...

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Ml Engineer information

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$33K

$89.2K

$142K

How much do ml engineer jobs pay per year?

As of Jul 12, 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 like software engineering, data engineering, and machine learning engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-paying industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in tech giants or startups with significant growth potential.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often involving advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually require extensive experience, specialized knowledge, and may include leadership responsibilities or working in cutting-edge technology environments.

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 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?

AspectML EngineerData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; knowledge of ML frameworksBachelor's or Master's in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentDevelops, deploys, and maintains ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, startups, and enterprises deploying ML solutionsResearch 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 in high demand due to the growing adoption of machine learning and AI across industries. They are sought after for their skills in data modeling, programming, and tools like TensorFlow and PyTorch, with job opportunities expected to remain strong as organizations continue to leverage AI technologies.
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:
What states have the most Ml Engineer jobs? States with the most job openings for Ml Engineer jobs include:
Infographic showing various Ml Engineer job openings in the United States as of July 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $89,183 per year, or $42.9 per hour.
ML Engineer

Full-time

Posted 29 days ago


Job description

ML Engineer
Location: Remote
Job Type: Contract
Experience: 12+years
Job Description:
  • Client is looking for an ML Engineer with the skills mentioned below; all are mandatory
  • ML - Python, Any framework PyTorch, TensorFlow, AWS and good experience in building LLM/Gen AI solution.

Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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