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Ml Engineer Jobs (NOW HIRING)

Xforia, Inc.

ML engineer

Bentonville, AR · On-site

ML engineers. - Languages: SQL, Python, PySpark Mandatory Skill - :4-year exp SQL, Python, PySpark, vertex AI Master's degree is required. Cloud computing: experience with GCP preferred, especially ...

Starfish

AI/ML Engineer

Redstone Arsenal, AL · On-site

As an AI/ML Engineer, your duties will include the following, but are not limited to: * Design, develop, and deploy machine learning models to support mission-critical objectives. * Analyze and ...

Marencor

ML Engineer

Charlotte, NC · On-site

ML Engineer Location : Charlotte Contract : 12 months JD: * Advanced degree (Master's or Ph.D.) in Computer Science, Statistics, Mathematics, Economics, or related field. * Proven experience in data ...

Programmers.io

AI/ML Engineer

Scottsdale, AZ · On-site

Required Qualifications: 5 years experience in DevOps, CloudOps, or ML Ops. 5 years experience with GCP AIML services (Vertex AI, AI Platform, BigQuery ML) or AWS ML services (SageMaker etc). 5 years ...

Node.Digital

AI/ML Engineer

Arlington, VA · On-site

AI/ML Engineer Location: Arlington, VA Must have an active Top Secret Clearance Node is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government ...

Rempli

AI / ML Engineer

Miami, FL · On-site

$95K - $150K/yr

AI / ML Engineer We partner withcompanies pushing the boundaries of technology - and we'relooking for AI / ML Engineers who are passionate about buildingintelligent systems that solve real-world ...

Starfish

AI/ML Engineer

Redstone Arsenal, AL

As an AI/ML Engineer, your duties will include the following, but are not limited to: * Design, develop, and deploy machine learning models to support mission-critical objectives. * Analyze and ...

Docker

ML Engineer

Palo Alto, CA · On-site

$138K - $225K/yr

About the role We're hiring a ML Engineer as one of the founding engineers on Intelligence Org. You'll work directly with the team's first engineers and manager to figure out what to build, how to ...

Node.Digital

AI/ML Engineer

Arlington, VA · On-site

AI/ML Engineer Location: Arlington, VA Must have an active Top Secret Clearance Node is supporting a U.S. Government customer to provide support for onsite incident response to civilian Government ...

New

Essilor

Data & ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

GENERAL FUNCTION The Data & ML Engineer is a self-sufficient engineering professional responsible for designing, building, and operating scalable, secure, and reliable data and machine learning ...

ReturnPro

AI/ML Engineer

Aventura, FL · On-site

We are seeking an AI/ML Engineer with expertise in generative AI, RAG applications, AI agentic frameworks, and predictive modeling. This role will focus on developing pricing models for retail ...

Euclid Innovations

ML Engineer

Charlotte, NC · On-site

Role: ML Engineer Location: Charlotte, NC 12+ months Refactor and migrate existing predictive models to Vertex AI, ensuring models function correctly post-migration with proper retraining and ...

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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
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Ml Engineer jobs near you
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

ML engineer

Xforia, Inc.

Bentonville, AR • On-site

Full-time

Posted 23 days ago

Job description

ML engineers. - Languages: SQL, Python, PySpark
Mandatory Skill - :4-year exp SQL, Python, PySpark, vertex AI
Master's degree is required.
Cloud computing: experience with GCP preferred, especially with vertex AI.
Skills and experiences: o 4 plus years of experience with developing machine learning models and have the right data science skills with problem solving, research and framing into ML problems.
o 4 plus years of experience with deploying machine learning models into production environments and familiar with MLOps practices, be able to write clean, and production level code.
o 5 plus years of experience with building Python libraries and APIs (written in Python)
o 3 plus years of experience with machine learning solutions within merchandising related space domain (assortment, item selection, pricing etc) in mandatory
Notes: • This is an independent contributor role from day 1 .master's degree is required.
• Resource can be hybrid but be ready to work during CST time zone and be ready to travel once as required (not frequent)
• This is a hands-on position and will be working with a team of customer data scientists & ML engineers.
• The person should be able to explain his or her work and be able to go through models/code.

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