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Python Machine Learning Jobs in Pennsylvania (NOW HIRING)

Machine Learning Engineer San Mateo, Pittsburgh Company Overview At Skild AI, we are building the ... Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch ...

AI/ML Lead Engineer

Chester, PA · On-site

$98K - $130K/yr

Role Overview We are looking for an AI/ML Lead Engineer with strong Python, Machine Learning, and Data Engineering expertise to design and deploy scalable AI solutions. The role involves developing ...

Python Developer

Pittsburgh, PA · On-site

$48.75 - $67.25/hr

Data Analysis/Machine Learning. * Testing/Debugging/Security. * Writing, testing, and debugging Python code for various applications. * Developing server-side logic, back-end components, and APIs.

Strong Python and PyTorch (or TensorFlow) proficiency, plus a track record of shipping ML models to production at scale * MS or PhD in Computer Science, Machine Learning, or a related field (strong ...

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Python Machine Learning information

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$13

$58

$86

How much do python machine learning jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for python machine learning in Pennsylvania is $58.76, according to ZipRecruiter salary data. Most workers in this role earn between $48.41 and $66.73 per hour, depending on experience, location, and employer.

Which 5 jobs will survive AI?

For a Python machine learning professional, roles that require complex problem-solving, creativity, and human judgment are more likely to persist, such as data scientist, AI researcher, software engineer, cybersecurity analyst, and technical project manager. These jobs often involve designing, interpreting, and overseeing AI systems, requiring specialized skills, domain knowledge, and adaptability that AI tools currently cannot fully replicate.

What is a $900,000 AI job?

A $900,000 AI job typically refers to highly senior roles in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, often requiring advanced expertise, leadership skills, and extensive experience. These positions may involve overseeing large teams, strategic planning, and working with cutting-edge technologies and tools, and they usually offer compensation packages including base salary, bonuses, and stock options. Such high salaries are rare and usually found in large tech companies or organizations with significant AI investments.

What does a typical workday look like for a Python Machine Learning professional?

A typical workday for a Python Machine Learning professional often involves tasks like cleaning and pre-processing data, developing and training machine learning models, and evaluating their performance using statistical metrics. You'll collaborate with data engineers, data scientists, and product managers to understand business requirements and integrate models into production environments. Regularly, you'll participate in code reviews, team meetings, and troubleshooting sessions to optimize model performance and address any issues. This dynamic role requires both independent project work and frequent cross-functional collaboration to ensure that solutions meet real-world needs.

Can I learn AI in 3 months?

For a Python Machine Learning role, learning AI in three months is challenging but possible with intensive study, focusing on core concepts like algorithms, data handling, and relevant tools such as TensorFlow or scikit-learn. Success depends on prior programming experience, dedication, and structured learning plans, but mastering advanced AI topics typically requires longer timeframes.

What is a Python Machine Learning job?

A Python Machine Learning job involves developing, training, and deploying machine learning models using Python. Professionals in this role work with libraries like TensorFlow, scikit-learn, and PyTorch to analyze data, build predictive models, and optimize algorithms. Responsibilities often include data preprocessing, feature engineering, model evaluation, and deploying models to production environments. These roles are commonly found in industries like finance, healthcare, and e-commerce, where data-driven decision-making is crucial.

What are the key skills and qualifications needed to thrive in the Python Machine Learning position, and why are they important?

To thrive as a Python Machine Learning professional, you need a strong background in statistics, programming (especially Python), data analysis, and machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Proficiency in libraries and frameworks like scikit-learn, TensorFlow, PyTorch, and familiarity with data visualization and version control tools are highly valued, as are relevant certifications such as TensorFlow Developer or AWS Machine Learning. Strong problem-solving ability, effective communication, and teamwork skills are important for collaboration and translating technical findings to non-technical stakeholders. These competencies enable you to design, develop, and deploy robust machine learning models that drive business solutions and innovation.

Is Python a high paying job?

Python machine learning roles are generally well-paid due to the high demand for data science and AI skills. Salaries depend on experience, location, and expertise with tools like TensorFlow or scikit-learn, but these positions often offer competitive compensation compared to other programming roles.
What are the most commonly searched types of Python Machine Learning jobs in Pennsylvania? The most popular types of Python Machine Learning jobs in Pennsylvania are:
Infographic showing various Python Machine Learning job openings in Pennsylvania as of June 2026, with employment types broken down into 4% As Needed, 77% Full Time, 13% Part Time, 2% Temporary, 2% Contract, and 2% Nights. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $122,225 per year, or $58.8 per hour.

Other

Posted 2 days ago


Job description

Overview:
Job description
Job Responsibilities :
- Use of cutting edge data mining, machine learning techniques for building advanced recommender systems, knowledge management, and insight generation.
- Understand business challenges and goals to formulate the approach for data analysis and model creation that will support business decision making.
- Take analytical objectives and define data requirements in terms of size, format, and cleansing needs for purposes of analysis, modelingsegmentation and reporting.
- Research on innovative technologies to come up .
- Interpret, document and presentcommunicate analytical results to multiple business disciplines, providing conclusions and recommendations based on customer-centric data.
- Building intelligent systems leveraging the vast amount of available userbehavior data to enrich the end-user experience
Job Requirements :
- Masters- (with 4+ years of experience) Or Ph.D. (with 0 - 2 years of experience) in a relevant field such as Probability, Statistics, Machine Learning, Data Mining, Artificial intelligence Computer Science.
- Experience with building data analytics models via supervised and unsupervised machine learning, statistical analysis, and predictive modeling techniques.
- Understanding of statistical modelingmachine learning data mining concepts and strong analytical and quantitative problem-solving ability.
- Strong background and experience in using R, SAS, MATLAB or equivalent statisticaldata analysis tools and technologies is a must.
- Hands-on skills in using techniques such as Parametric and Non-Parametric Regression models.
Skills : PYTHON, ANALYSIS
RoleMachine Learning Engineer
Industry TypeIT Services & Consulting
Functional AreaData Science & Analytics
Employment TypeFull Time, Permanent
Role CategoryData Science & Machine Learning
Education
UG :B.Sc in Any Specialization, BCA in Any Specialization, B.Tech/B.E. in Any Specialization
PG :M.Tech in Computers, MS/M.Sc(Science) in Computers, Statistics, MCA in Computers, M.A in Statistics
Doctorate :Ph.D/Doctorate in Statistics, Computers
Key Skills
Machine Learning
R, SAS,Artificial Intelligence,MATLAB,Python
Skills:
MACHINE LEARNING,MATLAB,ARTIFICIAL INTELLIGENCE,SAS,PYTHON,R,DATA MINING