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Contract Machine Learning Engineer Jobs in Glassboro, NJ

Cadent

Lead Data Scientist

Philadelphia, PA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Work with machine learning engineers, data engineers, DevOps and software developers to deploy models and modeling pipelines to be leveraged by business * Align with Product and business on project ...

T-Mobile

Senior Data Science Engineer

Philadelphia, PA · On-site

$116K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

In this role, you'll work at the intersection of machine learning, software engineering, and big data, building AI and ML systems that directly impact our customers and business. You'll collaborate ...

Pwc

AI Engineer

Philadelphia, PA · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

SPA

DevSecOps Engineer

Philadelphia, PA · On-site

... contract award. #MC Responsibilities The DevSecOps Engineer will support Naval Surface Warface ... Computer Science, Data Science, Information Sciences, Artificial Intelligence, or Machine Learning ...

Elevance Health

Gen AI Engineer

Wilmington, DE · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning engineers, and software engineers for the deployment of machine learning models into production environments ...

Elevance Health

Gen AI Engineer

Wilmington, DE · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning engineers, and software engineers for the deployment of machine learning models into production environments ...

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Showing results 41-60

All JobsContract Machine Learning Engineer JobsContract Machine Learning Engineer Jobs in Glassboro, NJ

Contract Machine Learning Engineer information

See Glassboro, NJ salary details

$30.5K

$124.5K

$187.1K

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

As of Aug 18, 2026, the average yearly pay for contract machine learning engineer in Glassboro, NJ is $124,501.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,100.00 and $149,900.00 per year, depending on experience, location, and employer.

What is a contract machine learning engineer?

A Contract Machine Learning Engineer is a professional who builds and deploys machine learning models on a temporary or project-based basis. They typically work with companies seeking specialized expertise in data science, model development, or AI integration without committing to a full-time hire. Responsibilities may include data preprocessing, model training, algorithm optimization, and deployment. Contract roles allow for flexibility and are often remote, making them ideal for businesses with short-term AI needs or startups looking to scale their machine learning capabilities quickly.

What are the typical day-to-day responsibilities of a contract machine learning engineer?

As a Contract Machine Learning Engineer, your daily tasks usually involve gathering and preprocessing data, building and fine-tuning machine learning models, and collaborating with software engineers and product managers to integrate your models into production systems. You may also meet with clients or internal teams to gather requirements and provide technical insights, as well as document and present your findings to stakeholders. Work is typically project-based and may require a high degree of independence, flexibility, and adaptability. This dynamic environment often exposes you to a variety of industries and technical challenges, making each project unique and providing valuable experience for professional growth.

What are the key skills and qualifications needed to thrive in the contract machine learning engineer position, and why are they important?

To thrive as a Contract Machine Learning Engineer, you need a strong background in machine learning algorithms, data preprocessing, statistical analysis, and proficiency in programming languages such as Python or R, often supported by a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience using cloud platforms (AWS, Google Cloud, Azure) or certifications in these areas are common requirements. Excellent problem-solving, communication, and time management skills are vital, especially when working with cross-functional teams and managing multiple projects remotely. These skills ensure effective delivery of high-quality, scalable machine learning solutions within tight project timelines and diverse client environments.

What are the most commonly searched types of Machine Learning Engineer jobs in Glassboro, NJ?

The most popular types of Machine Learning Engineer jobs in Glassboro, NJ are:

What are popular job titles related to Contract Machine Learning Engineer jobs in Glassboro, NJ?

For Contract Machine Learning Engineer jobs in Glassboro, NJ, the most frequently searched job titles are:

What cities near Glassboro, NJ are hiring for Contract Machine Learning Engineer jobs?

Cities near Glassboro, NJ with the most Contract Machine Learning Engineer job openings:

Contract Machine Learning Engineer jobs near you
Infographic showing various Contract Machine Learning Engineer job openings in Glassboro, NJ as of August 2026, with employment types broken down into 3% Internship, 73% Full Time, 21% Contract, and 3% Nights. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $124,501 per year, or $59.9 per hour.

Engineer 6, Machine Learning, Data & AI

Comcast

Philadelphia, PA • On-site, Remote

$224K - $351K/yr

Full-time

Posted 6 days ago

Job description

Make your mark at Comcast -- a Fortune 30 global media and technology company. From the connectivity and platforms we provide, to the content and experiences we create, we reach hundreds of millions of customers, viewers, and guests worldwide. Become part of our award-winning technology team that turns big ideas into cutting-edge products, platforms, and solutions that our customers love. We create space to innovate, and we recognize, reward, and invest in your ideas, while ensuring you can proudly bring your authentic self to the workplace. Join us. You’ll do the best work of your career right here at Comcast. (In most cases, Comcast prefers to have employees on-site collaborating unless the team has been designated as virtual due to the nature of their work. If a position is listed with both office locations and virtual offerings, Comcast may be willing to consider candidates who live greater than 100 miles from the office for the remote option.)

Job Summary

We are seeking a visionary Senior Technologist, Data & Agentic AI Enablement to shape the future of our enterprise data ecosystem and accelerate the next generation of AI-driven experiences. This enterprise leadership role is responsible for two complementary missions: Preparing enterprise data for an Agentic AI future, ensuring data is trusted, discoverable, semantically rich, governed, and consumable by AI agents. Transforming data engineering through Agentic AI, embedding AI across the data engineering lifecycle to improve productivity, quality, reliability, and speed of delivery. The successful candidate will define the architecture, standards, and engineering patterns that enable AI to become an active participant in the design, development, testing, operation, and optimization of enterprise data platforms. This highly influential role partners closely with Data Engineering, Data Platforms, Enterprise Architecture, Security, Product, and AI teams to accelerate data modernization and AI-enabled business transformation.

Job Description

Agentic AI Transformation of Data Engineering:

Lead the strategy for integrating Agentic AI across the enterprise data engineering lifecycle, enabling AI-assisted development, operations, and platform management.

Responsibilities include:

  • Define the enterprise roadmap for incorporating AI agents into data engineering workflows, platform operations, and software delivery.
  • Partner with platform engineering teams to integrate AI capabilities into CI/CD, Infrastructure-as-Code (IaC), and DevSecOps practices.
  • Evaluate emerging agent frameworks, copilots, and autonomous engineering platforms for enterprise adoption.
  • Establish best practices and governance for AI-assisted engineering and operational processes.
Enterprise Data Strategy for AI & Agentic Systems:

Develop and drive the enterprise strategy for preparing data assets to support AI, Generative AI, and Agentic AI use cases.

Responsibilities include:

  • Define principles and reference architectures that enable AI agents to discover, access, understand, and act upon enterprise data safely and effectively.
  • Partner with business and technology leaders to identify high-value opportunities for Agentic AI solutions.
  • Establish enterprise standards that align data, AI, and business strategies.
Data Architecture & AI Readiness

Lead architectural efforts to ensure enterprise data is optimized for both human and AI consumption.

Responsibilities include:

  • Establish standards that ensure data is:
    • Discoverable
    • Well-described and semantically rich
    • Governed and trusted
    • Accessible through standardized interfaces
    • Consumable by both people and AI agents
  • Drive adoption of metadata-driven architectures, semantic models, knowledge graphs, and business ontologies.
  • Ensure enterprise data products support machine-to-machine interactions in addition to traditional analytics use cases.
Agentic Data Enablement:

Define the frameworks that enable AI agents to effectively interact with enterprise data and knowledge assets.

Responsibilities include:

  • Establish standards for exposing enterprise data through APIs, semantic layers, data products, and retrieval systems.
  • Partner with platform teams to develop capabilities supporting:
    • Retrieval-Augmented Generation (RAG)
    • Agent orchestration platforms
    • Tool and API discovery
    • Vector-based retrieval architectures
    • Context management and memory frameworks
  • Develop patterns that allow AI agents to access enterprise knowledge securely and responsibly.
Data Governance & Trust:

Ensure governance and trust frameworks evolve to support autonomous and AI-assisted decision making.

Responsibilities include:

  • Establish controls for data lineage, provenance, quality, explainability, and auditability.
  • Partner with Security, Privacy, and Risk teams to implement responsible AI controls and secure data access practices.
  • Define trust frameworks that enable AI agents to operate within approved business guardrails.
Semantic Layer & Knowledge Management:

Drive the development of enterprise semantic capabilities that improve data accessibility and AI reasoning.

Responsibilities include:

  • Lead development of enterprise semantic models and shared business definitions.
  • Improve metadata quality, business context, and knowledge accessibility across the organization.
  • Advance enterprise knowledge management practices that enhance AI reasoning, discovery, and decision support.
Platform & Ecosystem Alignment:

Collaborate across teams to ensure enterprise platforms support AI-native consumption patterns.

Responsibilities include:

  • Partner with Data Platform, Engineering, Analytics, and Product teams to align technology roadmaps.
  • Collaborate with BI and analytics teams to maintain consistent business metrics and semantic definitions across human and AI consumers.
  • Influence technology investments that enable future AI and Agentic AI capabilities.
Innovation & Thought Leadership

Serve as a strategic thought leader on AI readiness, data modernization, and enterprise architecture.

Responsibilities include:

  • Monitor emerging trends in AI, Agentic Systems, Data Architecture, and Knowledge Management.
  • Evaluate innovative technologies and identify strategic adoption opportunities.
  • Advise executive leadership on enterprise AI strategy and future-state architecture.
Qualifications
  • + years of experience in Data Architecture, Data Engineering, Enterprise Architecture, or related technology disciplines.
  • Proven experience designing and scaling enterprise data ecosystems.
  • Experience supporting AI, machine learning, advanced analytics, or data modernization initiatives.
  • Demonstrated success influencing outcomes across large, matrixed organizations.
Technical Expertise
  • Deep understanding of modern data architectures, including data warehouses, data lakes, lakehouses, and data mesh concepts.
  • Expertise in metadata management, semantic modeling, data governance, and data product design.
  • Strong understanding of APIs, event-driven architectures, and interoperability standards.
  • Experience with AI technologies, including LLMs, RAG architectures, vector databases, agent frameworks, and AI orchestration platforms.
  • Knowledge of modern software engineering, DevSecOps, CI/CD, and cloud-native architectures.
Leadership & Communication
  • Strong executive communication and stakeholder management skills.
  • Ability to translate emerging technologies into practical enterprise strategies.
  • Proven ability to lead through influence across business and technology organizations.
  • Demonstrated thought leadership in data, AI, or enterprise architecture domains.
Preferred Candidate Profile :

A strategic technology leader with deep expertise in enterprise data architecture and a passion for advancing AI adoption. This individual combines strong technical vision, architectural leadership, and business acumen to help the organization build a trusted, AI-ready data foundation while transforming the way engineering teams work through Agentic AI.

Disclaimer:

This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.

Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.


Skills:

Data Engineering; AI Adoption; Agentic AI; Data Architecture Development; Data Strategies; Enterprise Data


Salary:

Pay Range: This job can be performed in Virginia, and District of Columbia with a Pay Range of $224,190.44 - $351,571.37

Comcast intends to offer the selected candidate base pay within this range, dependent on job-related, non-discriminatory factors such as experience. The application window is 30 days from the date job is posted, unless the number of applicants requires it to close sooner or later.


Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality - to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.


Education

Bachelor's Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Relevant Work Experience

15 Years +

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