ZipRecruiter

Log In

1

Contract Machine Learning Testing Jobs in Pennsylvania

System One

Sr Machine Learning Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

Contract to Hire Years Of Experience Required : 10+ Years Industry Background: Finance / Banking ... Machine learning model solution design, build, orchestration and implementation • Experience ...

New

System One

Sr Machine Learning Engineer

Pittsburgh, PA · On-site

$97K - $134K/yr

Contract to Hire Years Of Experience Required : 10+ Years Industry Background: Finance / Banking ... Machine learning model solution design, build, orchestration and implementation • Experience ...

New

Cmu

Machine Learning Engineer - Autonomy Lab

Pittsburgh, PA · On-site

$99K - $131K/yr

You are familiar with simulation environments and their role in training and testing machine learning models. * Robotics & Autonomy: You have a strong understanding of robotics principles and design ...

Comcast

Machine Learning Engineer 3- 7882

Philadelphia, PA · On-site +1

$56.25 - $74.50/hr

... testing, and reporting; design proof of concept solutions and contribute to studies to support ... machine learning techniques including tree-based models, or linear and logistic regression; using ...

next page

Showing results 1-20

All JobsContract Machine Learning Testing JobsContract Machine Learning Testing Jobs in Pennsylvania

Contract Machine Learning Testing information

What is the difference between Contract Machine Learning Testing vs Contract Data Analyst?

AspectContract Machine Learning TestingContract Data Analyst
Required CredentialsKnowledge of ML algorithms, programming skills (Python, R), understanding of testing frameworksStatistical skills, data visualization, proficiency in SQL and Excel
Work EnvironmentTech companies, AI startups, consulting firmsBusiness intelligence teams, marketing agencies, finance firms
Employer & Industry UsagePrimarily in AI/ML development projects across tech and research sectorsData-driven decision making in various industries like finance, marketing, and healthcare

Contract Machine Learning Testing focuses on evaluating and validating ML models for accuracy and performance, requiring technical skills in algorithms and programming. Contract Data Analysts interpret data, generate reports, and support business decisions using statistical tools. While both roles involve working with data, Machine Learning Testing is more technical and specialized in AI models, whereas Data Analysts focus on broader data analysis and reporting.

What are the most commonly searched types of Machine Learning Testing jobs in Pennsylvania? The most popular types of Machine Learning Testing jobs in Pennsylvania are:
What are popular job titles related to Contract Machine Learning Testing jobs in Pennsylvania? For Contract Machine Learning Testing jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Contract Machine Learning Testing jobs in Pennsylvania look for? The top searched job categories for Contract Machine Learning Testing jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Contract Machine Learning Testing jobs? Cities in Pennsylvania with the most Contract Machine Learning Testing job openings:
Contract Machine Learning Testing jobs near you
Infographic showing various Contract Machine Learning Testing job openings in Pennsylvania as of July 2026, with employment types broken down into 60% Full Time, 22% Part Time, 1% Temporary, and 17% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.
Principal Machine Learning Engineer

Principal Machine Learning Engineer

Delan Associates, Inc

Philadelphia, PA

Contractor

Posted 6 days ago

Job description

Principal Machine Learning Engineer to serve as a hands-on technical leader for machine learning, predictive modeling, scoring, decisioning, and applied AI initiatives. This role will primarily focus on building, validating, deploying, and improving machine learning models, while also bringing principal-level judgment to problem definition, model design, stakeholder engagement, and production readiness.

Hands-On Model Development

Build, test, validate, and improve machine learning models for scoring, prediction, prioritization, risk detection, engagement, intervention targeting, and decision support.

Perform exploratory data analysis, data quality assessment, feature engineering, model training, model selection, and performance evaluation.

Develop practical ML models that balance predictive performance, explainability, stability, maintainability, and business usefulness.

Work with structured, semi-structured, and operational data to create model-ready datasets and reusable features.

Use tools such as Python, SQL, Spark, Databricks, MLflow, scikit-learn, XGBoost, or similar platforms and libraries.

Move quickly from data exploration to prototype to validated model to production-ready capability.

Required Qualifications

Professional experience in machine learning, data science, software engineering, analytics engineering, applied AI, or related technical fields.

5+ years of hands-on machine learning model development experience, including feature engineering, model training, validation, evaluation, and iteration.

3+ years of experience deploying, operationalizing, or supporting models in production or business-critical environments.

Strong hands-on experience with Python and SQL.

Experience with modern ML and data platforms such as Databricks, Spark, MLflow, Snowflake, Azure, AWS, or similar technologies.

Strong understanding of model evaluation, calibration, thresholding, score interpretation, monitoring, drift, retraining, and production ML lifecycle management.

Experience translating ambiguous business problems into concrete ML designs, model requirements, validation plans, and measurable outcomes.

Ability to explain model behavior, model performance, assumptions, limitations, and tradeoffs to both technical and non-technical stakeholders.

Strong engineering discipline, including clean code, reproducibility, versioning, testing, documentation, and maintainability.

Ability to work independently as a senior hands-on contributor while also providing technical leadership and modeling judgment.

Scoring, Scorecards, and Transparent Models

Production ML and MLOps

Product and Rapid-Build Execution

Generative AI and AI Automation

Requirement Shaping and Stakeholder Partnership

Employment Type: CONTRACTOR

Apply