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Python Machine Learning Jobs in Pennsylvania (NOW HIRING)

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 ...

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 ...

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 ...

Python Developer

Pittsburgh, PA ยท 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.

Data Scientist

Malvern, PA ยท On-site

$100K - $135K/yr

Must Have Technical/Functional Skills โ€ข AWS Data Scientist with strong expertise in Amazon SageMaker, Python, Machine Learning, MLOps, and AWS Analytics services, capable of building, deploying ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Machine Learning Tutor

Erie, PA ยท Remote

$40/hr

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

Senior Machine Learning Engineer

Malvern, PA ยท On-site

$120K - $158K/yr

We are assisting our client in hiring for a Senior Machine Learning Engineer. Our client is an ... Strong Python and SQL development skills. * Experience building predictive models using structured ...

What We Look For In a Machine Learning Tutor * Advanced Subject Mastery: Deep knowledge of ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Proficiency with Python and/or Go * Familiarity with REST APIs Travel Requirements & Working ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Proficiency with Python and/or Go * Familiarity with REST APIs Travel Requirements & Working ...

$40/hr

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the ... Proficiency with Python and/or Go * Familiarity with REST APIs Travel Requirements & Working ...

Showing results 21-40

Python Machine Learning information

See Pennsylvania salary details

$13

$58

$86

How much do python machine learning jobs pay per hour?

As of Sep 10, 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.

What is a Python machine learning?

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 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.

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.

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 August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 26% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $122,225 per year, or $58.8 per hour.

Director of Machine Learning

Pittsburgh, PA โ€ข On-site, Remote

Gather AI
Industrial Automation Equipment Manufacturingย โ€ขย 11 - 50 employees

Full-time

Re-posted 10 days ago


Job description

About Us

Are you ready to build the future of supply chain? At Gather AI, we're not just creating software; we're pioneering a new era of warehouse intelligence. We've developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining "on-time, in full" delivery.

If you're looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We're leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time.

About the Team

You'll lead the Machine Learning and FPT teams, working closely with the Director of Cloud Engineering and Director of Autonomy. Cross-departmentally, you'll collaborate with Product and Business leadership to translate ML capabilities into product value. This is a high-visibility role with a direct line to executive leadership and significant influence over product direction.

About the Role

We are looking for a Director of Machine Learning to define our ML strategy, lead our computer vision organization, and drive the next phase of ML maturity at Gather AI. You will assess existing ML and CV capabilities, identify gaps and opportunities, and establish a clear technical vision for how machine learning will power our warehouse intelligence platform over the next 12-18 months.

The ideal candidate brings deep computer vision expertise, a track record of shipping production ML systems, and the leadership experience to build and scale a world-class ML team.

What You'll Do

  • Define and own the ML strategy and technical roadmap for Gather AI, aligned with product and business objectives
  • Lead and grow the Machine Learning and FPT teams, establishing a culture of rigor, experimentation, and production-quality delivery
  • Drive improvements to core computer vision models (object detection, segmentation, OCR) used across our drone and MHE Vision products
  • Build out MLOps infrastructure - model training pipelines, deployment, monitoring, and CI/CD for ML workloads
  • Collaborate with the Director of Cloud Engineering and Director of Autonomy to ensure ML systems integrate seamlessly into the broader platform
  • Partner with Product and Operations to translate customer needs into ML-driven product capabilities

What You'll Need

  • 10+ years building and scaling production ML or computer vision systems
  • 5+ years managing and growing ML engineering teams
  • Deep expertise in computer vision: object detection, image segmentation, OCR, and CNN architectures
  • 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 industry track record considered in lieu of advanced degree)

Nice to Have

  • Experience with drone, robotics, or autonomous systems perception
  • Edge ML deployment experience (ONNX, TensorRT, mobile/embedded inference)
  • Familiarity with warehouse, logistics, or supply chain domain
  • Experience with AWS or GCP ML services (SageMaker, Vertex AI)