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Machine Learning Engineer Opt Jobs in York, PA (NOW HIRING)

Varsity Tutors

Linear Algebra Tutor

Harrisburg, PA · Remote

$18 - $40/hr

... data science, engineering, and advanced mathematics. * Conceptual Teaching & Problem-Solving ... machine learning, and quantum mechanics applications. * Curriculum Awareness & Adaptive Instruction:

Kemper

SVP, Chief Technology Officer (CTO)

Harrisburg, PA · On-site +1

  • Medical

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Enterprise Data Engineering * Artificial Intelligence & Intelligent Automation * Enterprise ... Lead enterprise implementation of Generative AI, Machine Learning, Intelligent Automation, and ...

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Showing results 41-60

All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in York, PA

Machine Learning Engineer Opt information

See York, PA salary details

$31K

$126.7K

$190.4K

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

As of Aug 15, 2026, the average yearly pay for machine learning engineer opt in York, PA is $126,730.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,900.00 and $152,500.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

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 solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

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

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

What job categories do people searching Machine Learning Engineer Opt jobs in York, PA look for?

The top searched job categories for Machine Learning Engineer Opt jobs in York, PA are:

What cities near York, PA are hiring for Machine Learning Engineer Opt jobs?

Cities near York, PA with the most Machine Learning Engineer Opt job openings:

Machine Learning Engineer Opt jobs near you
Infographic showing various Machine Learning Engineer Opt job openings in York, PA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $126,730 per year, or $60.9 per hour.

Customer Relationship Management (CRM) Lead

Data-Core System, Inc.

Middletown, PA • On-site

Other

Re-posted 8 days ago

Job description

Data-Core Systems, Inc. is a provider of information technology, consulting, and business process services. We offer breakthrough tech solutions and have worked with companies, hospitals, universities, and government organizations. A proven partner with a passion for client satisfaction, we combine technology innovation, business process expertise, and a global, collaborative workforce that exemplifies the future of work. For more information about Data-Core Systems, Inc., please visit https://datacoresystems.com/.


Our client is a roadway system, and as a part of their digital transformation, they are implementing a solution based on SAP BRIM & Microsoft Dynamics CE.


Data-Core Systems Inc. is seeking a Customer Relationship Management (CRM) Lead to be a part of our Consulting team. You will participate and effectively contribute to the design, development, and implementation of complex applications, often using new technologies. You will provide technical expertise and systems design for individual initiatives. You will have the opportunity to work with other SME consultants from our existing team.


Roles & Responsibilities:

  • Study and understand the client's current, plus desired, Microsoft CE application, configurations, and technologies.
  • Coordinate changes and designs to the CBOS and UBOS, plus the client's other technologies, ensuring they meet the client's needs and follow standards and policies.
  • Architect and build a roadmap for delivery.
  • Assign work and manage and mentor a team of CRM and full-stack developers.
  • Ensure successful delivery for the CRM, portal, and web app as part of the UBOS project.
  • Advise the client's leadership on current trends in Microsoft CE applications and functionalities.
  • Act as a subject matter expert and represent the client in meetings and reports with stakeholders.
  • Raise concerns and potential issues to the client's leadership with sufficient detail for decision-making.
  • Architect and develop Microsoft CE customizations and configurations to meet the client's functionality needs.
  • Support integrations with middleware, ERP systems, payment gateways, phone systems, etc., which are part of the UBOS ecosystem.
  • Act as an expert for Data Migration to Microsoft CRM.
  • Fully document all created work associated with this position, including technical and functional designs and diagrams, test plans, test scripts, impact analysis reports, lessons learned, best practices for others to follow, plus any other documentation as required by the client. This documentation shall follow the format and/or templates as instructed by the client.
  • Adhere to and follow all clients' standards, policies, and procedures.
  • Perform tasks and other duties as related to this position and role, and assigned by the client.


Required Skills & Experience:

  • 10 years of Microsoft CE application software systems implementation experience.
  • 10 years of experience developing CRM applications using .Net, JavaScript, Python, React, SSIS, and Reporting Services.
  • 5 years as a Microsoft-certified FastTrack solution architect for business applications.
  • 2 years of experience leveraging Azure AI services and Machine Learning for developing Microsoft D365 CE business applications.
  • Delivered 2 projects as a certified FastTrack project for Business Applications.
  • Delivered 1 successful implementation leveraging AI technologies to enhance customer service operations, including the development and implementation of AI-driven chatbots and virtual assistants, leveraging Copilot and Azure AI for Microsoft Dynamics CRM solution deployment.
  • Hands-on experience with Dynamics Contact Center solution deployment, including the ability to manage and optimize communication processes, improving efficiency and customer satisfaction.
  • Conducted training sessions on AI tools and Dynamics Contact Center features, ensuring team members are proficient and up-to-date with the latest technologies.
  • Proven implementation experience in Data Migration to Microsoft CRM from other non-COTs account management systems.
  • Proven implementation experience in developing integrations with ERP systems and data repositories.
  • Implemented high-volume contact center applications, including CRM, Portal, and Mobile Apps for customer service, Natural Language Interactive Voice Response (IVR), and ChatBOT functions enabled.
  • Strong understanding of the Human Centered Design Approach for product development
  • Proficient in the Microsoft ADO Testing Module.


Preferred Certifications & Education Qualifications:

  • Bachelor’s degree in business management or information systems. An equivalent combination of education and/or experience may be accepted.
  • Microsoft MVP for the award category of Business Applications and technology area of Customer Experience, and/or Power Apps, and/or CoPilot Studio.
  • 5+ years as a Microsoft-certified solution architect for business applications.
  • Azure AI Fundamentals certification or similar AI or Machine Learning certifications.
  • Microsoft Dynamics-related Certifications.
  • An equivalent combination of education and/or experience may be accepted.


We are an equal opportunity employer.


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