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Senior Machine Learning Software Engineer Jobs in Pittsburgh, PA

Sr Machine Learning Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

Position Title: Sr Machine Learning Engineer Location: PA - Pittsburgh, TX - Dallas, OH - Cleveland Work Status : Onsite 5 days a week Duration : Contract to Hire Years Of Experience Required : 10+ ...

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 ... data scientists, software engineers, clinicians, hospital administrators, and experts in ...

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

Collaborate closely with fellow taxonomists, software engineers, data scientists, data engineers ... Machine Learning or a related field Required Skills: * Minimum 3 years experience with hands-on ...

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

Collaborate closely with fellow taxonomists, software engineers, data scientists, data engineers ... Machine Learning or a related field Required Skills: * Minimum 3 years experience with hands-on ...

Senior Machine Learning Engineer

Pittsburgh, PA · On-site

$118K - $156K/yr

Collaborate closely with fellow taxonomists, software engineers, data scientists, data engineers ... Machine Learning or a related field Required Skills: * Minimum 3 years experience with hands-on ...

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Showing results 1-20

Senior Machine Learning Software Engineer information

See Pittsburgh, PA salary details

$73.3K

$139.1K

$186.4K

How much do senior machine learning software engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for senior machine learning software engineer in Pittsburgh, PA is $139,110.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $156,800.00 per year, depending on experience, location, and employer.

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

AspectSenior Machine Learning Software EngineerData Scientist
CredentialsBachelor's or Master's in CS, ML, or related; experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops ML models, integrates algorithms into products, collaborates with engineering teamsAnalyzes data, builds statistical models, visualizes insights, collaborates with business teams
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, healthcare

While both roles involve working with data and algorithms, Senior Machine Learning Software Engineers focus on developing and deploying scalable ML models within software systems, whereas Data Scientists primarily analyze data to generate insights and inform business decisions.

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

A Senior Machine Learning Software Engineer requires deep expertise in machine learning algorithms, statistical analysis, and strong programming skills in languages like Python or Java, typically supported by a degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, scikit-learn, as well as experience with cloud platforms and version control systems, is standard. Exceptional problem-solving, leadership, and communication skills help drive project success and mentor junior engineers. These competencies are crucial for designing scalable ML solutions, ensuring code quality, and effectively collaborating within cross-functional teams.

What is a senior machine learning software engineer?

A Senior Machine Learning Software Engineer is an experienced professional who designs, develops, and deploys machine learning models and systems to solve complex problems. They work closely with data scientists, engineers, and other stakeholders to build scalable and efficient solutions that leverage large data sets and advanced algorithms. Their responsibilities often include architecting ML pipelines, optimizing model performance, and mentoring junior team members. Typically, they have a strong background in computer science, programming, and applied mathematics, along with several years of hands-on experience in machine learning and software engineering.

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

Senior Machine Learning Software Engineers often encounter challenges such as ensuring model scalability, maintaining performance under real-world data conditions, and integrating models seamlessly with existing systems. Handling data drift and monitoring model predictions for accuracy over time are also critical responsibilities. Collaboration with data engineers, DevOps, and product teams is essential to address these challenges and ensure robust, reliable deployments.
What are the most commonly searched types of Machine Learning Software Engineer jobs in Pittsburgh, PA? The most popular types of Machine Learning Software Engineer jobs in Pittsburgh, PA are:
What are popular job titles related to Senior Machine Learning Software Engineer jobs in Pittsburgh, PA? For Senior Machine Learning Software Engineer jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Senior Machine Learning Software Engineer jobs in Pittsburgh, PA look for? The top searched job categories for Senior Machine Learning Software Engineer jobs in Pittsburgh, PA are:
Infographic showing various Senior Machine Learning Software Engineer job openings in Pittsburgh, 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 $139,110 per year, or $66.9 per hour.

Sr Machine Learning Engineer

System One

Pittsburgh, PA • On-site

$101K - $139K/yr

Contractor

Posted 17 days ago


Job description

Position Title: Sr Machine Learning Engineer Location: PA - Pittsburgh, TX - Dallas, OH - Cleveland Work Status : Onsite 5 days a week Duration : Contract to Hire Years Of Experience Required : 10+ Years Industry Background: Finance / Banking Roles and Responsibilities: • Continuous support of models deployed to production applications • Internal client consultation to elicit and collect requirements, and communicate and align the technical team toward delivery • Continuous support of models deployed to production applications • Release planning, coordination, and hands on support throughout release windows Must Have Technical Skills: • Experience implementing production solutions that leverage generative AI and LLMs • Machine learning model solution design, build, orchestration and implementation • Experience building solutions with model governance, risk management, and regulatory adherence at top of mind • GPT 5.x • Langchain • RAG / RAGAS Flex Skills/Nice to Have: • Experience in financial services • Azure AI Search / AI Agent Service / Document Intelligence / Content Safety • Microsoft Agent Framework / Foundry • Redis • Elasticsearch • Arize • Deepeval • ChromaDB • Langgraph Ref: #404-IT Pittsburgh