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Patterned Learning Ai Jobs in Philadelphia, PA (NOW HIRING)

Berkley

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Responsibilities The AI Platform, Principal Engineer is responsible for designing, building, and ... best-practice patterns. * Experience with machine learning frameworks and libraries such as ...

Berkley

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

Responsibilities The AI Platform, Principal Engineer is responsible for designing, building, and ... best-practice patterns. * Experience with machine learning frameworks and libraries such as ...

Experis

AI/ML Architect

Pennington, NJ · On-site

... patterns. * Ensure regulatory, security, and model risk requirements are embedded by design ... Engage in continuous learning and professional development. * Be part of a company committed to ...

Berkley

Principal Engineer - AI Platform

Wilmington, DE · On-site

$131K - $175K/yr

The AI Platform, Principal Engineer is responsible for designing, building, and maintaining robust ... best-practice patterns. * Experience with machine learning frameworks and libraries such as ...

Anaplan

Principal Engineer, AI

Philadelphia, PA · On-site

Lead the architecture, design, and deployment of scalable Generative AI and Machine learning ... Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns. * Experience in ...

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Patterned Learning Ai information

See Philadelphia, PA salary details

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$41

$70

How much do patterned learning ai jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for patterned learning ai in Philadelphia, PA is $41.07, according to ZipRecruiter salary data. Most workers in this role earn between $29.86 and $53.37 per hour, depending on experience, location, and employer.

What is patterned learning AI?

Patterned Learning AI refers to artificial intelligence systems designed to recognize, learn from, and replicate patterns in data. These systems use algorithms to identify trends, correlations, and structures within large datasets, enabling them to make predictions or automate decision-making processes. Patterned Learning AI is commonly used in fields like image recognition, natural language processing, and predictive analytics. Its applications help businesses and researchers uncover hidden insights, streamline operations, and improve accuracy in various tasks.

What are some typical challenges faced by patterned learning AI professionals in implementing AI-driven solutions within organizations?

Patterned Learning AI professionals often encounter challenges such as integrating AI models with existing legacy systems, ensuring high-quality and representative training data, and aligning AI solutions with specific business objectives. Collaboration across multidisciplinary teams—including data scientists, software engineers, and business stakeholders—is essential for successful deployment. Additionally, professionals must stay updated on evolving AI technologies and best practices to maintain model accuracy and address ethical considerations.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (especially Python), and a degree in computer science or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn, as well as familiarity with cloud computing platforms and data management tools, is essential. Excellent problem-solving skills, creativity, and clear communication are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies are vital for developing reliable AI systems that solve real-world problems and drive innovation.

What is the difference between Patterned Learning Ai vs Data Scientist?

AspectPatterned Learning AiData Scientist
Required CredentialsTypically requires machine learning, AI, or computer science degrees; certifications in AI toolsRequires degrees in statistics, computer science, or related fields; often certifications in data analysis
Work EnvironmentTech companies, AI startups, research labs focusing on AI developmentBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed by AI-focused organizations developing intelligent systemsEmployed across industries for data analysis, predictive modeling, and decision support

Patterned Learning Ai primarily focuses on developing AI models and algorithms, often requiring specialized technical skills. Data Scientists analyze data to extract insights and inform business decisions. While both roles involve data and machine learning, Patterned Learning Ai is more centered on creating AI systems, whereas Data Scientists interpret data for strategic purposes.

What are popular job titles related to Patterned Learning Ai jobs in Philadelphia, PA?

For Patterned Learning Ai jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Patterned Learning Ai jobs in Philadelphia, PA look for?

The top searched job categories for Patterned Learning Ai jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Patterned Learning Ai jobs?

Cities near Philadelphia, PA with the most Patterned Learning Ai job openings:

Patterned Learning Ai jobs near you
Infographic showing various Patterned Learning Ai job openings in Philadelphia, PA as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $85,418 per year, or $41.1 per hour.

Senior AI/ML Scientist

Vanguard Group, Inc.

Malvern, PA • On-site

Full-time

Posted 12 days ago

Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

16th of 154 rated financial services

Job description

Responsibilities:
Solve Business Problems with AI
  • Design and build advanced ML models that integrate multi-dimensional data into insights and signals that drive critical business decisions.

  • Design and build enterprise knowledge systems that integrate structured and unstructured data across multiple business platforms, enabling AI agents to retrieve, reason over, and operationalize trusted organizational knowledge.

  • Partner with business stakeholders to identify, frame, and prioritize high-value problems that can be addressed using Agentic AI, LLMs, and ML.

  • Define and implement business-centric evaluation frameworks that measure coverage, relevance, trustworthiness, explainability, and user adoption in addition to technical model performance.

  • Focus on business outcomes, not just model performance.

Design & Build Agentic AI Solutions
  • Architect and develop agentic AI systems that can reason, plan, and take actions across tools, workflows, and data sources.

  • Design multi-agent and tool-augmented LLM solutions to automate complex, multi-step processes.

  • Ensure solutions are reliable, explainable, and governed for enterprise use.

Scalable & Responsible AI
  • Collaborate with engineering teams to deploy AI solutions with scalability, security, and performance in mind.

  • Implement evaluation, monitoring, and guardrails for LLM and agentic systems, including bias, drift, and failure modes.

  • Align solutions with enterprise risk management, compliance, and responsible AI standards.

Thought Leadership & Collaboration
  • Act as a trusted AI advisor, helping teams understand where Agentic AI and LLMs add value-and where they do not.

  • Contribute to AI best practices, reusable patterns, and strategic direction.

  • Mentor peers and teammates on applied AI and business-driven problem solving.

Qualifications:
  • Agentic AI: Experience designing AI agents that reason, plan, and act across systems.

  • Large Language Models (LLMs): Hands-on experience building enterprise LLM applications (e.g., RAG, tool use, orchestration, evaluation).

  • Natural Language Processing (NLP): Strong experience working with unstructured text and language-driven workflows.

  • ML: Hands on experience with Gradient Boosting methods, familiar with preeminent hyper-parameter tuning and interpretability options.

  • 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 hands-on Python experience; experience with distributed data processing is a plus.

  • 0Strong ability to solve business problems using AI, not just build models.

  • Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical audiences.

  • Experience working in cross-functional, enterprise environments.

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.

What Vanguard employees say

Pay

Benefits

Hours and flexibility

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