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Machine Learning Engineer From Home Jobs (NOW HIRING)

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift ... Own the complete ML lifecycle from research and prototyping through deployment, monitoring, and ...

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Partner with data scientists to transition models from research/prototype into production-ready ...

Machine Learning Engineer Washington, DC (Hybrid) About the Role: We are seeking a highly skilled ... Partner with data scientists to transition models from research/prototype into production-ready ...

Machine Learning Engineer (Molecular Design) Location: Hybrid - Bay Area, CA We are seeking a Machine Learning Engineer with expertise in molecular design to support cutting-edge drug discovery ...

Can you walk me through a machine learning model you developed from start to finish? * What ... Tools / Programming Languages * How strong would you rate your Python skills? * Have you used R in ...

Machine Learning Engineer (Austin, TX) Striveworks is a leader in Machine Learning Operations for ... They enable their customers to extract actionable insight from their data at the point of ...

... from conception to completion. Qualifications : Required : • Strong experience in machine learning engineering, including data handling, model training, and scaling in cloud environments. • ...

Machine Learning Engineer ExaCare Inc - New York, New York, United States About this position ... Experience supporting ML systems end to end , from model handoff through deployment and monitoring

Machine Learning Engineer

Honolulu, HI · On-site

$120 - $180/hr

Machine Learning Engineer LOCATION Honolulu, HI 96815 CLEARANCE TS/SCI Full Poly (Please note this ... From employee and family events to career-long support, we create a community you'll never want to ...

Machine Learning Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... From employee and family events to career-long support, we create a community you'll never want to ...

Machine Learning Engineer (Austin, TX) Striveworks is a leader in Machine Learning Operations for ... They enable their customers to extract actionable insight from their data at the point of ...

We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class ... We are emerging from stealth and with an exciting series of machine learning products and a rapidly ...

Showing results 21-40

Machine Learning Engineer From Home information

See salary details

$31.5K

$128.8K

$193.5K

How much do machine learning engineer from home jobs pay per year?

As of Sep 6, 2026, the average yearly pay for machine learning engineer from home in the United States is $128,769.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $155,000.00 per year, depending on experience, location, and employer.

What is the difference between Machine Learning Engineer From Home vs Data Scientist?

AspectMachine Learning Engineer From HomeData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, flexible hours, often project-basedRemote or on-site, collaborative teams, research-focused
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, research institutions
Common Search & ComparisonOften compared for technical skills and remote work optionsCompared for data analysis and modeling expertise

While both roles require strong technical credentials and often involve remote work, Machine Learning Engineers From Home focus on developing and deploying ML models, whereas Data Scientists analyze data to generate insights. The choice depends on whether you prefer building algorithms or interpreting data trends.

Can a machine learning engineer work from home?

Yes, many machine learning engineers can work from home, especially in roles that involve data analysis, model development, and coding using tools like Python and TensorFlow. Remote work is common in this field, provided the engineer has a reliable internet connection, access to necessary hardware, and effective communication skills.
More about Machine Learning Engineer From Home jobs

What cities are hiring for Machine Learning Engineer From Home jobs?

Cities with the most Machine Learning Engineer From Home job openings:

What are the most commonly searched types of Machine Learning Engineer jobs?

The most popular types of Machine Learning Engineer jobs are:

What states have the most Machine Learning Engineer From Home jobs?

States with the most job openings for Machine Learning Engineer From Home jobs include:

Infographic showing various Machine Learning Engineer From Home job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $128,769 per year, or $61.9 per hour.

Contractor

Re-posted 11 days ago


Job description

Machine Learning Engineer (Azure Focus) - Remote (PST)
[About the Role]
Join GAP as a Machine Learning Engineer and lead the development, deployment, and optimization of innovative AI solutions in a fully remote environment. This six-month contract opportunity is tailored for engineers with a passion for hands-on machine learning in Microsoft Azure production settings. Collaborate with talented teams to create real business impact by delivering robust, scalable models for enterprise applications.
[Responsibilities]
- Design, build, and deploy machine learning models using neural networks and NLP techniques to solve business challenges
- Manage the complete ML lifecycle: data preparation, model selection, training, evaluation, deployment, and ongoing performance monitoring
- Leverage Python and ML frameworks (TensorFlow, PyTorch, Keras) to develop, optimize, and maintain models
- Implement MLOps best practices, including CI/CD pipelines, model versioning, and automated retraining in Azure environments
- Collaborate cross-functionally with data scientists, engineers, and stakeholders to deliver production-ready AI solutions
- Utilize Azure Machine Learning, Azure DevOps, and Azure Databricks for end-to-end ML operations
[Required Skills and Experience]
- Proven track record developing and deploying machine learning models into Microsoft Azure cloud platforms
- Hands-on expertise with neural networks and NLP methods (text classification, sentiment analysis, entity extraction, chatbots, or language models)
- Advanced proficiency in Python; practical experience with R and SQL for data extraction and statistical modeling
- Deep understanding of supervised and unsupervised learning algorithms, model evaluation, and optimization
- Mastery of modern ML frameworks (TensorFlow, PyTorch, Keras) in production
- Demonstrable experience in MLOps: CI/CD for ML, model monitoring, version control, retraining, and production support
[Preferred Skills]
- Experience with Azure Databricks, Azure Functions, and Azure Pipelines
- Familiarity with containerization (Docker/Kubernetes) for scalable ML deployments
- Strong feature engineering and ML pipeline automation skills
[Benefits]
- 100% remote work-collaborate with a diverse team from anywhere within PST hours
- Opportunity for contract extension and career progression on impactful enterprise AI projects
- Exposure to best-in-class Azure ML infrastructure and enterprise DevOps practices
[How to Apply]
Excited to build and deploy cutting-edge AI solutions in Azure? Submit your resume now. Qualified candidates will be contacted for an initial screening and technical interview.

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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US