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Python Ai Ml Jobs in Pennsylvania (NOW HIRING)

Senior AI/ML Engineer

Malvern, PA ยท On-site

$102K - $140K/yr

... AI/ML engineering or software development ... Solid Python programming skills and familiarity with ML frameworks (TensorFlow, PyTorch, scikit ...

Senior Staff AI/ML Engineer

King Of Prussia, PA ยท On-site +1

$114K - $252K/yr

S. in machine learning, computer science, mathematics, or related field 8+ years of AI/ML development experience Proficiency with Python and ML libraries such as PyTorch, Lightning, OpenCV, NumPy ...

MS or PhD in Computer Science, Machine Learning, Data Science, or a related quantitative field. * 3+ years delivering AI/ML solutions in production environments. * 5+ years of handson Python ...

Showing results 21-40

Python Ai Ml information

What is a Python AI ML engineer?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

How does a Python AI ML engineer typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.

What are the key skills and qualifications needed to thrive as a Python AI ML engineer, and why are they important?

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

Is Python good for AI ML?

Python is widely used in AI and ML roles due to its simplicity, extensive libraries like TensorFlow and scikit-learn, and strong community support. It is considered one of the best programming languages for developing machine learning models and artificial intelligence applications.

What job categories do people searching Python Ai Ml jobs in Pennsylvania look for?

The top searched job categories for Python Ai Ml jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Python Ai Ml jobs?

Cities in Pennsylvania with the most Python Ai Ml job openings:

Infographic showing various Python Ai Ml job openings in Pennsylvania as of August 2026, with employment types broken down into 73% Full Time, 25% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Senior AI/ML Engineer

Vangard, Inc.

Philadelphia, PA โ€ข On-site

$105K - $144K/yr

Full-time

Posted 26 days ago


Job description

Responsibilities

  • Design, prototype, and implement agentic systems for IT automation and resilience using LLMs and agent frameworks

  • Develop multi-agent workflows and coordinate agent collaboration for complex tasks.

  • Build and optimize retrieval-augmented generation pipelines for knowledge-driven agents.

  • Contribute to the development and testing of robust, scalable agentic architectures and infrastructure.

  • Collaborate with senior engineers and data scientists in feature development, experiments, and integration of research findings.

  • Participate in code reviews, testing, and documentation to ensure quality and reliability.

Required Skills & Experience

  • Master's degree in computer science, Machine Learning, Artificial Intelligence, or a related field.

  • 5-8 years of experience in AI/ML engineering or software development.

  • Solid Python programming skills and familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn).

  • Knowledge of LLMs and agentic principles.

  • Vanguard Internal Use Only Experience with vector databases, data pipelines, and retrieval systems.

  • Strong problem-solving skills and eagerness to learn new AI techniques and frameworks.

Preferred Qualifications

  • Hands-on experience with agentic frameworks.

  • Familiarity with AWS cloud platforms and MLOps tools.

  • Contributions to open-source AI/ML projects or agentic frameworks.

  • Experience in building autonomous agents, RAG systems, or multi-agent workflows.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.