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Machine Learning Engineer Python Jobs (NOW HIRING)

Chabez Tech

Machine Learning Engineer

Portland, OR

Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) Experience with time-series data ...

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

The Senior Machine Learning Engineer will be responsible for designing, building, and scaling ... in Python, OpenCV, SQL, and one or more deep learning frameworks (PyTorch, Tensorflow, etc ...

WorkNovas LLC

Machine Learning Engineer

Richmond, VA · On-site

Machine Learning Engineer Richmond, Virginia (5 Days Onsite) need local within commute About the ... Python Integrate AI agents with enterprise tools, APIs, and workflows Evaluate, monitor, and ...

Kasmo Global

Machine Learning Engineer

Chicago, IL · On-site

Machine Learning Engineer Location: San Jose, CA/Chicago, IL Duration: 18 months contract with a ... Python, PySpark, and Big Query to develop robust workflows for fraud signal detection. • ...

Chabez Tech

Machine Learning Engineer

Portland, OR · On-site

Job Title: Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview ... Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) • ...

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only ... Minimum Requirements In-depth knowledge of Python for high-performance, data-intensive applications.

Givzey

Machine Learning Engineer

Machine Learning Engineer We're looking for a talented and motivated Machine Learning Engineer to ... Strong proficiency in Python and its ML/data science libraries (e.g., TensorFlow, PyTorch, scikit ...

Chabez Tech

Machine Learning Engineer

Portland, OR · On-site

Machine Learning Engineer Location: Portland, OR - Onsite (Local only / F2F interview) Duration: 24 ... Strong programming skills in Python (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) • ...

ARROWCORE GROUP

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA Duration: 12+ Mos Note - Onsite Interviews About ... Minimum Requirements: * In-depth knowledge of Python for high-performance, data-intensive ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Software engineering skills and proficiency in Python. Experience with PyTorch. BA/BS degree in computer vision, computer graphics, machine learning or related field. Preferred Qualifications MS or ...

CoVar

Machine Learning Engineer

Durham, NC · On-site

The Machine Learning Engineer will develop software and machine learning algorithms to address real ... Required : • Expertise in Python (including NumPy, pandas, and other packages) • Experience ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

Proficiency in one or more object-oriented programming languages such as Python, Java, or C++, with hands-on experience building distributed systems. Experience building large-scale machine learning ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of ... Write clean, well-documented, and production-quality Python code. * Communicate findings, results ...

ExtendMyTeam

Machine Learning Engineer

Austin, TX

Position Summary We are seeking a Machine Learning Engineer to help design, implement, and scale AI ... Strong Python engineering background * Experience working with AI/LLM technologies and frameworks ...

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Machine Learning Engineer Python information

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How much do machine learning engineer python jobs pay per year?

As of Jun 25, 2026, the average yearly pay for machine learning engineer python in the United States is $139,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $164,500.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineers working with Python, and how can they be addressed?

Machine Learning Engineers using Python often encounter challenges such as managing large datasets, ensuring efficient model deployment, and maintaining reproducibility of experiments. Handling data pipelines and model versioning can be complex, especially as projects scale. To address these issues, engineers typically use tools like Pandas and Dask for data handling, Docker for containerization, and MLflow or DVC for tracking experiments and models. Collaborating closely with data engineers, software developers, and product teams is also essential to streamline workflows and ensure models are production-ready.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Python, and why are they important?

To thrive as a Machine Learning Engineer Python, you need a solid background in computer science, statistics, and mathematics, along with proficiency in Python programming and machine learning concepts. Familiarity with frameworks such as TensorFlow, PyTorch, Scikit-learn, and experience with cloud platforms or MLOps tools are highly valued, as are certifications like Google Professional Machine Learning Engineer. Strong problem-solving abilities, communication skills, and a collaborative mindset help set you apart in this field. These skills enable engineers to design, implement, and deploy effective machine learning solutions that address real-world challenges in dynamic, team-oriented environments.

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

AspectMachine Learning Engineer PythonData Scientist
Required CredentialsBachelor's/Master's in CS, Data Science, or related; Python skills; ML certificationsBachelor's/Master's in Statistics, CS, or related; Python/R skills; Data analysis certifications
Work EnvironmentDevelops scalable ML models, deploys algorithms, collaborates with engineering teamsAnalyzes data, builds models, interprets results, communicates insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research institutions

While both roles require Python proficiency and data skills, Machine Learning Engineers focus on building and deploying scalable ML models, whereas Data Scientists analyze data and generate insights. The roles often overlap but differ in their primary focus and responsibilities.

What is a Machine Learning Engineer Python?

A Machine Learning Engineer Python is a professional who uses the Python programming language to design, build, and deploy machine learning models and systems. They work with large datasets, develop algorithms, and use Python libraries such as TensorFlow, scikit-learn, and PyTorch to solve complex problems. Their responsibilities also include preprocessing data, training models, evaluating performance, and integrating solutions into production environments. Machine Learning Engineers often collaborate with data scientists, software engineers, and business stakeholders to create scalable and efficient machine learning applications.
More about Machine Learning Engineer Python jobs
What cities are hiring for Machine Learning Engineer Python jobs? Cities with the most Machine Learning Engineer Python job openings:
What states have the most Machine Learning Engineer Python jobs? States with the most job openings for Machine Learning Engineer Python jobs include:
What job categories do people searching Machine Learning Engineer Python jobs look for? The top searched job categories for Machine Learning Engineer Python jobs are:
Machine Learning Engineer Python jobs near you
Infographic showing various Machine Learning Engineer Python job openings in the United States as of June 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.
Machine Learning Engineer

Machine Learning Engineer

HTC Global Services

Dearborn, MI • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Job Title

Machine Learning Engineer

Overview / Summary

We are seeking an experienced Machine Learning Engineer to design, implement, and maintain scalable machine learning and analytics pipeline solutions. The ideal candidate will have expertise in machine learning engineering, cloud platforms, DevSecOps practices, and data engineering technologies. This role involves building and optimizing ML infrastructure, deploying production-grade machine learning solutions, and collaborating with cross-functional teams to improve processes and business outcomes.

Key Responsibilities
  • Collaborate with business and technology stakeholders to understand current and future machine learning requirements.
  • Design and develop machine learning models and software algorithms to solve complex business problems in structured and unstructured environments.
  • Design, build, maintain, and optimize scalable machine learning pipelines, architectures, and infrastructure.
  • Apply machine learning techniques in areas such as computer vision, perception, localization, virtual reality, augmented reality, object detection, tracking, classification, and terrain mapping.
  • Deploy machine learning models and algorithms into production environments and conduct simulations for testing and validation.
  • Automate model deployment, training, and retraining using CI/CD/CT methodologies and MLOps practices.
  • Implement model management processes, including versioning and traceability across environments.
  • Develop, build, and maintain machine learning infrastructure, including data pipelines, deployment platforms, and monitoring solutions.
  • Develop and maintain tools and libraries that support machine learning development and deployment.
  • Automate machine learning workflows using DevSecOps principles and practices.
  • Collaborate with development and operations teams to improve system integration and automate ML pipelines.
  • Design, develop, and manage data flows and APIs between systems and applications.
  • Troubleshoot and resolve issues related to system communication, data flow, and data quality.
  • Collaborate with technical and non-technical stakeholders to gather requirements and ensure successful deployment of data solutions.
  • Create and maintain technical documentation for software components.
  • Ensure systems comply with evolving business needs, data governance policies, and security requirements.
  • Implement and maintain high standards of data quality and integrity.
  • Manage deliverables through project management tools.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • 3+ years of experience developing and deploying machine learning models in production environments.
  • 3+ years of Python programming experience.
  • 2+ years of hands-on experience with Google Cloud Platform (Google Cloud Platform), including services such as BigQuery, Google Cloud Storage, Cloud Composer, and/or Cloud Run.
  • Experience using version control systems such as GitHub.
  • 2+ years of experience with code quality and security scanning tools such as SonarQube, Cycode, or FOSSA.
  • 3+ years of experience with data engineering technologies such as Kubernetes, Container-as-a-Service (CaaS) platforms, OpenShift, DataProc, Spark (PySpark), or Airflow.
  • Experience with CI/CD tools and practices, including Tekton or Terraform.
  • Experience with containerization technologies such as Docker and Kubernetes.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Familiarity with Atlassian tools such as Jira and Confluence.
  • Experience working in Agile environments.
Preferred Qualifications
  • Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • Experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
  • Experience with MLOps tools and platforms.
  • Experience working in fast-paced environments with multiple priorities.
  • Demonstrated commitment to continuous learning and professional development.
  • Strong problem-solving skills and passion for technical excellence and innovation.

What Makes HTC A Great Place To Build Your Future

HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you ll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You ll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.

At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

#LI-Hybrid #LI-SK8

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