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Ai Machine Learning Engineer Jobs in Pennsylvania

HCL Global Systems Inc

AI/ML Engineer

Malvern, PA · On-site

HCL Global Systems Inc is a technology company specializing in AI and machine learning solutions. They are seeking an AI/ML Engineer to implement agentic frameworks, develop generative AI ...

Vangard, Inc.

Senior Machine Learning Engineer

Malvern, PA · On-site

$102K - $140K/yr

Design, build, and maintain end-to-end machine learning pipelines from research through production deployment. * Engineer scalable training, inference, and retraining workflows using AWS SageMaker.

TeleTracking

Machine Learning Engineer III

Pittsburgh, PA · On-site

$111K - $133K/yr

They are seeking a Senior Machine Learning Engineer to develop and optimize machine learning models aimed at enhancing patient care and operational efficiency in hospital settings. Responsibilities ...

Workiva

$40/hr

... Machine Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

New

Workiva

$40/hr

... Machine Learning Engineer * Help integrate tools such as LlamaIndex and LlamaParse into existing ... Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation ...

New

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Showing results 21-40

All JobsAi Machine Learning Engineer JobsAi Machine Learning Engineer Jobs in Pennsylvania

Ai Machine Learning Engineer information

See Pennsylvania salary details

$31.6K

$129.1K

$194K

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

As of Sep 2, 2026, the average yearly pay for ai machine learning engineer in Pennsylvania is $129,078.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,700.00 and $155,400.00 per year, depending on experience, location, and employer.

What is an AI machine learning engineer?

An AI Machine Learning Engineer is a professional who designs, builds, and deploys artificial intelligence and machine learning models to solve real-world problems. They work with large datasets, select appropriate algorithms, and optimize models for accuracy and efficiency. Their role often involves both software engineering and data science skills, and they collaborate with other teams to integrate these models into products or services. AI Machine Learning Engineers are in high demand across industries such as technology, healthcare, finance, and more.

What are the key skills and qualifications needed to thrive as an AI machine learning engineer?

To thrive as an AI Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python or R), and a relevant degree such as computer science or engineering. Familiarity with frameworks like TensorFlow, PyTorch, and scikit-learn, as well as experience with cloud platforms and data processing tools, is highly valued, along with certifications in AI or machine learning. Critical thinking, problem-solving, and effective communication are essential soft skills for collaborating with teams and translating business needs into technical solutions. These competencies are crucial for developing accurate, scalable AI models that deliver real-world value and drive innovation.

What are some common challenges that AI machine learning engineers face when deploying models to production environments?

AI Machine Learning Engineers often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and handling model drift once solutions are live. They also need to collaborate closely with DevOps and software engineering teams to integrate models seamlessly into existing systems, while maintaining performance and security. Addressing these challenges requires a strong understanding of both machine learning principles and software deployment best practices.

What is the difference between Ai Machine Learning Engineer vs Data Scientist?

AspectAi Machine Learning EngineerData Scientist
CredentialsDegree in CS, AI, or related fields; certifications in ML frameworksDegree in CS, Statistics, or related fields; certifications in data analysis
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, where deploying ML models is keyResearch, business intelligence, analytics across industries

While both roles involve working with data and machine learning, Ai Machine Learning Engineers focus on building and deploying scalable ML models in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core focus and responsibilities.

Is AI Machine Learning Engineer in demand?

AI Machine Learning Engineers are in high demand due to the growing adoption of artificial intelligence across industries. They typically require skills in programming, data analysis, and familiarity with tools like TensorFlow or PyTorch, and job opportunities are expected to continue expanding as AI applications become more widespread.

What are popular job titles related to Ai Machine Learning Engineer jobs in Pennsylvania?

For Ai Machine Learning Engineer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Ai Machine Learning Engineer jobs in Pennsylvania look for?

The top searched job categories for Ai Machine Learning Engineer jobs in Pennsylvania are:

Ai Machine Learning Engineer jobs near you
Infographic showing various Ai Machine Learning Engineer job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $129,078 per year, or $62.1 per hour.

Vice President, AI / Machine Learning Data Engineering

BNY Mellon

Pittsburgh, PA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago

BNY Mellon rating

7.3

Company rating: 7.3 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

123rd of 152 rated financial services

Job description


We're seeking a future team member for the role of Vice President, AI / Machine Learning Engineer to join our AI Hub team. This role is located in New York, NY.
This role is located in our AI Hub and is focused on building AI-powered tools and platforms that improve the way engineers design, build, test, and operate software. This is a strong opportunity for a hands-on technical leader who can apply deep AI and software engineering expertise to deliver practical solutions, guide technical direction, and help scale high-value capabilities in an enterprise environment.
In this role, you'll make an impact in the following ways:
  • Lead the design and development of applied AI solutions, providing hands-on technical leadership for machine learning and artificial intelligence products.
  • Bring strong knowledge of Applied AI, LLMs, fine tuning, model evaluation, and approaches to building fit-for-purpose models, copilots, and agents for engineering use cases.
  • Conduct technical research, prototyping, and experimentation to evaluate model and tooling approaches, and translate findings into actionable recommendations and implementation plans.
  • Partner with engineering and business stakeholders to understand priorities, workflows, and opportunities, and help define success measures that demonstrate developer and business impact.
  • Bring expertise in applying AI to improve the software development lifecycle and support builders, designers, and developers with secure, scalable, and production-ready capabilities.
  • Contribute to the achievement of Application Development objectives by mentoring engineers, promoting strong engineering practices, and supporting high-quality delivery across architecture, reliability, and responsible AI adoption.

To be successful in this role, we're seeking the following:
  • Bachelor's degree in Computer Science, Data Engineering, or a related field or the equivalent combination of education and experience required.
  • 5-9 years of experience in software development required; experience in the securities or financial services industry is a plus.
  • Advanced experience, preferably 8+ years, in applied AI/ML, model development, and software engineering, including experience building and deploying production solutions.
  • Ability to operate as a hands-on technical lead, collaborating with engineers and partners while helping drive design, implementation, and delivery decisions.
  • Strong understanding of enterprise software practices, MLOps / LLMOps, evaluation approaches, and how to create secure, scalable, and sustainable AI solutions.
  • Ability to communicate technical ideas effectively and work across a range of audiences, including engineers, product partners, and business stakeholders.

About Us
At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.
About the Team
At BNY, our culture speaks for itself, check out the latest BNY news at BNY Newsroom & BNY LinkedIn
Here's a few of our recent awards:
  • America's Most Innovative Companies, Fortune, 2025
  • World's Most Admired Companies, Fortune 2025
  • "Most Just Companies", Just Capital and CNBC, 2025

Our Benefits and Rewards:
BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
BNY assesses market data to ensure a competitive compensation package for our employees. The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting.
Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award. Subject to the terms and conditions of the applicable plans then in effect, eligible employees may enroll in a 401(k) plan as well as participate in Company-sponsored medical, dental, vision, and basic life insurance plans for the employee and the employee's eligible dependents. Eligible employees also may receive other benefits (including various paid time off benefits, such as vacation and sick time), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, the employee will be in an "at will" position and the Company reserves the right to modify base salary (as well as any other discretionary payments or compensation programs) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

What BNY Mellon employees say

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About BNY Mellon

Sourced by ZipRecruiter

BNY Mellon is a global investments company dedicated to helping its clients manage and service their financial assets throughout the investment lifecycle. Whether providing financial services for institutions, corporations or individual investors, BNY Mellon delivers informed investment and wealth management and investment services in 35 countries. As of Dec. 31, 2021, BNY Mellon had $46.7 trillion in assets under custody and/or administration, and $2.4 trillion in assets under management. BNY Mellon can act as a single point of contact for clients looking to create, trade, hold, manage, service, distribute or restructure investments. BNY Mellon is the corporate brand of The Bank of New York Mellon Corporation (NYSE: BK). Additional information is available on www.bnymellon.com . Follow us on Twitter @BNYMellon or visit our newsroom at www.bnymellon.com/newsroom for the latest company news.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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