Machine Learning Engineer
Pleasanton, CA · On-site
Machine Learning Engineer (Azure Focus) - Remote (PST) [About the Role] Join GAP as a Machine ... R and SQL for data extraction and statistical modeling - Deep understanding of supervised and ...
Machine Learning Engineer
Pleasanton, CA · On-site
Machine Learning Engineer (Azure Focus) - Remote (PST) [About the Role] Join GAP as a Machine ... R and SQL for data extraction and statistical modeling - Deep understanding of supervised and ...
Design, develop, and evaluate advanced deep learning architectures (e.g., CNNs, Mask R-CNNs, YOLO ... Build and refine machine learning algorithms to enhance Howmet products across all business units.
New
Design, develop, and evaluate advanced deep learning architectures (e.g., CNNs, Mask R-CNNs, YOLO ... Build and refine machine learning algorithms to enhance Howmet products across all business units.
New
Machine Learning Engineer
Charlottesville, VA · On-site
$90 - $120/hr
Strong Python or R programming skills * Understanding of relational databases * 3+ years of experience as a data scientist, machine learning engineer, or similar role * Solid understanding of the ...
Machine Learning Engineer
Charlottesville, VA · On-site
$90 - $120/hr
Strong Python or R programming skills * Understanding of relational databases * 3+ years of experience as a data scientist, machine learning engineer, or similar role * Solid understanding of the ...
Title: Machine Learning Engineer Location: Pittsburgh, PA Duration: Full-time Salary Market ... Strong knowledge of R, Python, and Java. * Strong knowledge of statistics. * Strong critical ...
Quick apply
Title: Machine Learning Engineer Location: Pittsburgh, PA Duration: Full-time Salary Market ... Strong knowledge of R, Python, and Java. * Strong knowledge of statistics. * Strong critical ...
Design, develop, and evaluate advanced deep learning architectures (e.g., CNNs, Mask R-CNNs, YOLO ... Build and refine machine learning algorithms to enhance Howmet products across all business units.
New
Design, develop, and evaluate advanced deep learning architectures (e.g., CNNs, Mask R-CNNs, YOLO ... Build and refine machine learning algorithms to enhance Howmet products across all business units.
New
Machine Learning Engineer
New York, NY · On-site
Proficiency in programming languages such as Python and R * Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience implementing Agent or Context engineering is ...
Machine Learning Engineer
New York, NY · On-site
Proficiency in programming languages such as Python and R * Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience implementing Agent or Context engineering is ...
Machine Learning Engineer
New York, NY · On-site
Proficiency in programming languages such as Python and R * Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience implementing Agent or Context engineering is ...
Machine Learning Engineer
New York, NY · On-site
Proficiency in programming languages such as Python and R * Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience implementing Agent or Context engineering is ...
Strong programming skills in Python, R, or similar languages. * Deep understanding of machine learning algorithms and principles. * Experience with machine learning frameworks (e.g., TensorFlow ...
Strong programming skills in Python, R, or similar languages. * Deep understanding of machine learning algorithms and principles. * Experience with machine learning frameworks (e.g., TensorFlow ...
Machine Learning Engineer
Minneapolis, MN · On-site
Proficient in programming languages such as Python and R * Familiarity with big data technologies such as Apache Spark * Experience with Machine Learning frameworks such as TensorFlow or PyTorch
Machine Learning Engineer
Minneapolis, MN · On-site
Proficient in programming languages such as Python and R * Familiarity with big data technologies such as Apache Spark * Experience with Machine Learning frameworks such as TensorFlow or PyTorch
Machine Learning Engineer
Minneapolis, MN · On-site
$130 - $170/hr
Proficient in programming languages such as Python and R * Familiarity with big data technologies such as Apache Spark * Experience with Machine Learning frameworks such as TensorFlow or PyTorch
Machine Learning Engineer
Minneapolis, MN · On-site
$130 - $170/hr
Proficient in programming languages such as Python and R * Familiarity with big data technologies such as Apache Spark * Experience with Machine Learning frameworks such as TensorFlow or PyTorch
Machine Learning Engineer
Minneapolis, MN · On-site
Proficient in programming languages such as Python and R * Familiarity with big data technologies such as Apache Spark * Experience with Machine Learning frameworks such as TensorFlow or PyTorch
Machine Learning Engineer
Minneapolis, MN · On-site
Proficient in programming languages such as Python and R * Familiarity with big data technologies such as Apache Spark * Experience with Machine Learning frameworks such as TensorFlow or PyTorch
Machine Learning Engineer
Whitehall, MI · On-site
Design, develop, and evaluate advanced deep learning architectures (e.g., CNNs, Mask R-CNNs, YOLO ... Build and refine machine learning algorithms to enhance Howmet products across all business units.
New
Machine Learning Engineer
Whitehall, MI · On-site
Design, develop, and evaluate advanced deep learning architectures (e.g., CNNs, Mask R-CNNs, YOLO ... Build and refine machine learning algorithms to enhance Howmet products across all business units.
New
D. in Computer Science, Data Science, or a related field • Strong programming skills in Python or R • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) • Knowledge of ...
D. in Computer Science, Data Science, or a related field • Strong programming skills in Python or R • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) • Knowledge of ...
Machine Learning Engineer
Whitehall, MI · On-site
$120 - $180/hr
Design, develop, and evaluate advanced deep learning architectures (e.g., CNNs, Mask R-CNNs, YOLO ... Build and refine machine learning algorithms to enhance Howmet products across all business units.
New
Machine Learning Engineer
Whitehall, MI · On-site
$120 - $180/hr
Design, develop, and evaluate advanced deep learning architectures (e.g., CNNs, Mask R-CNNs, YOLO ... Build and refine machine learning algorithms to enhance Howmet products across all business units.
New
Machine Learning Engineer
$128K - $214K/yr
Train and embed machine learning models into applications using programming languages (Python, Java, R) and core libraries (TensorFlow, Keras, Scikit-learn). * Explore and visualize data to uncover ...
Machine Learning Engineer
$128K - $214K/yr
Train and embed machine learning models into applications using programming languages (Python, Java, R) and core libraries (TensorFlow, Keras, Scikit-learn). * Explore and visualize data to uncover ...
The ideal candidate should have strong hands-on experience with machine learning algorithms, neural networks, NLP, Python/R/SQL, modern ML frameworks, Microsoft Azure, and DevOps/MLOps practices.
Quick apply
The ideal candidate should have strong hands-on experience with machine learning algorithms, neural networks, NLP, Python/R/SQL, modern ML frameworks, Microsoft Azure, and DevOps/MLOps practices.
M a c h i n e L e a r n i n g E n g i n e e r , T a p e s t r y Software Engineering Mountain View ... Train, and deploy machine learning models in production environments. * Work with senior team ...
M a c h i n e L e a r n i n g E n g i n e e r , T a p e s t r y Software Engineering Mountain View ... Train, and deploy machine learning models in production environments. * Work with senior team ...
Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical methodology including deep expertise and experience with statistical data analysi * Requires a ...
Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical methodology including deep expertise and experience with statistical data analysi * Requires a ...
... R • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) • Excellent communication skills • Ability to work in a team • Outstanding ...
... R • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) • Excellent communication skills • Ability to work in a team • Outstanding ...
Machine Learning Engineer
Seattle, WA · On-site
Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical methodology including deep expertise and experience with statistical data analysi * Requires a ...
Machine Learning Engineer
Seattle, WA · On-site
Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical methodology including deep expertise and experience with statistical data analysi * Requires a ...
On Call Machine Learning R information
See salary details
$25.5K - $31.2K
5% of jobs
$33.1K is the 25th percentile. Wages below this are outliers.
$31.2K - $36.9K
59% of jobs
$36.9K - $42.5K
9% of jobs
$43K is the 75th percentile. Wages above this are outliers.
$42.5K - $48.2K
17% of jobs
$48.2K - $53.9K
4% of jobs
$53.9K - $59.6K
2% of jobs
$59.6K - $65.3K
3% of jobs
$65.3K - $71K
0% of jobs
$71K - $76.6K
0% of jobs
$76.6K - $82.3K
0% of jobs
$82.3K - $88K
0% of jobs
$25.5K
$42.6K
$88K
How much do on call machine learning r jobs pay per year?
As of Sep 7, 2026, the average yearly pay for on call machine learning r in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.
What is the difference between On Call Machine Learning R vs Data Scientist?
| Aspect | On Call Machine Learning R | Data Scientist |
|---|---|---|
| Required Credentials | Typically requires proficiency in R, statistical analysis, and some machine learning knowledge | Requires advanced degrees (often Master’s or PhD), programming skills (R, Python), and data analysis expertise |
| Work Environment | Often on-demand, project-based, or support roles within organizations or consulting firms | Full-time roles in various industries, involving data analysis, model development, and strategic insights |
| Employer & Industry Usage | Used by companies needing immediate machine learning support or troubleshooting | Employed across industries for data-driven decision making and predictive modeling |
While both roles involve machine learning and R, On Call Machine Learning R focuses on providing immediate, project-specific support using R, whereas Data Scientists typically work on comprehensive data analysis and model development in a full-time capacity.
What cities are hiring for On Call Machine Learning R jobs?
Cities with the most On Call Machine Learning R job openings:
What are the most commonly searched types of Machine Learning R jobs?
The most popular types of Machine Learning R jobs are:
What states have the most On Call Machine Learning R jobs?
States with the most job openings for On Call Machine Learning R jobs include:
Contractor
Re-posted 12 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.
[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.
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