ZipRecruiter

Log In

1

Machine Learning Engineer Python Jobs (NOW HIRING)

Northern Base

Machine Learning Engineer

Sunrise, FL · On-site

$90K - $110K/yr

Role - Machine Learning Engineer Experience Required -8+ Years We are seeking a Machine Learning ... Proficiency in Python and ML engineering best practices. Nice to Have * Experience with GCP ...

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 ...

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.

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Minimum Qualifications Software engineering skills and proficiency in Python Experience with ... machine learning, computer science, computer engineering or related fields.

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 ...

Machina Labs

Machine Learning Engineer

Los Angeles, CA

$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 ...

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 ...

previous page

Showing results 41-60

All JobsMachine Learning Engineer Python Jobs

Machine Learning Engineer Python information

See salary details

$23K

$140K

$202.5K

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

As of Aug 6, 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?

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 July 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.

Machine Learning Engineer

AllSTEM Connections

San Francisco, CA • On-site

$118K - $129K/yr

Temporary

Medical, Dental, Vision, Retirement

Posted 9 days ago

Job description

Job Title: Machine Learning Engineer
Role Overview
We are seeking an experienced and driven Machine Learning Engineer to design, build, and optimize scalable machine learning models that drive intelligent applications. In this role, you will develop advanced algorithms, implement natural language processing (NLP) solutions, and streamline the end-to-end model lifecycle from research to production.
This is a hands-on technical role where you will leverage your expertise in supervised/unsupervised learning, neural networks, and modern ML frameworks. Working closely with data science and engineering teams, you will utilize cloud platforms, implement robust MLOps and DevOps practices, and ensure high-performance model deployment and management. If you are passionate about turning complex data into production-ready AI solutions, we want to hear from you.
Key Responsibilities
Model Development & Architecture
• Algorithm Design: Develop, train, and optimize supervised and unsupervised learning algorithms to solve complex business challenges.
• Neural Networks & NLP: Design and implement deep learning architectures and natural language processing (NLP) pipelines for text analysis and intelligent automation.
• Data Integration: Utilize Python, R, and advanced SQL queries to extract, clean, and manipulate large datasets for model training and evaluation.
MLOps & Production Deployment
• Framework Implementation: Build and fine-tune models using industry-standard machine learning frameworks such as TensorFlow, Keras, and PyTorch.
• Pipeline Automation: Implement robust DevOps and MLOps practices, managing model registries, automated testing, continuous integration/continuous delivery (CI/CD) for ML, and model monitoring in production.
• Cloud Infrastructure: Deploy and scale machine learning workloads across cloud platforms and technologies, ensuring cost-efficiency, security, and low-latency inference.
Qualifications & Requirements
Minimum Qualifications
• Experience Baseline: Professional experience designing, deploying, and maintaining machine learning models in production environments.
• Technical Mastery:
oDeep theoretical and practical knowledge of supervised and unsupervised learning algorithms.
oProven experience building neural networks and natural language processing (NLP) applications.
oStrong programming proficiency in Python, R, and SQL.
oHands-on experience with core ML frameworks: TensorFlow, Keras, and PyTorch.
• Core Competencies: Working knowledge of cloud platforms (AWS, Azure, or GCP) and practical implementation of DevOps/MLOps pipelines for model serving and monitoring.
Preferred Attributes
• Experience optimizing model inference latency and resource utilization in cloud-native environments.
• Strong collaboration and communication skills, with the ability to bridge data science research and software engineering production standards.
Equal Opportunity Employer / Disabled / Protected Veterans
The Know Your Rights poster is available here:
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf
The pay transparency policy is available here:
https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf
For temporary assignments lasting 13 weeks or longer, AllSTEM Connections is pleased to offer major medical, dental, vision, 401k and any statutory sick pay where required.
We are committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please contact your staffing representative who will reach out to our HR team.
AllSTEM Connections participates in the E-Verify program in certain locations as required by law. Learn more about the E-Verify program.
https://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster_ES.pdf
We also consider for employment qualified applicants regardless of criminal histories, consistent with legal requirements, including, if applicable, the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to applicable state and municipal Fair Chance Laws and Ordinances, we will consider for employment-qualified applicants with arrest and conviction records, including, if applicable, the San Francisco Fair Chance Ordinance. For Los Angeles, CA applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Additional Skills
(none specified)
AllSTEM Representative Contact Info
Account Executive:
Nichols
Branch Phone:
(909) 244-1777
Location:
Ontario, CA

Apply