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Machine Learning Finance Jobs in Pittsburgh, PA (NOW HIRING)

System One

Sr Machine Learning Engineer

Pittsburgh, PA · On-site

$101K - $139K/yr

Finance / Banking Roles and Responsibilities: * Continuous support of models deployed to production ... Machine learning model solution design, build, orchestration and implementation * Experience ...

Deloitte

Senior AI Engineer - SFL Scientific

Pittsburgh, PA

$101K - $139K/yr

Work with clients to design, develop, and deploy new architectures to support machine learning ... Work alongside clients every step of the way, helping them navigate new challenges, avoid financial ...

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All JobsMachine Learning Finance JobsMachine Learning Finance Jobs in Pittsburgh, PA

Machine Learning Finance information

See Pittsburgh, PA salary details

$24.3K

$89.9K

$131.5K

How much do machine learning finance jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning finance in Pittsburgh, PA is $89,928.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,800.00 and $105,800.00 per year, depending on experience, location, and employer.

Can machine learning be used in finance?

Machine learning finance roles involve applying algorithms to analyze financial data, detect patterns, and make predictions for trading, risk management, and fraud detection. Professionals in this field often use tools like Python, R, and specialized libraries, and require strong statistical and programming skills. These applications improve decision-making and operational efficiency in financial institutions.

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

To excel in Machine Learning Finance, you need strong quantitative skills, proficiency in programming (typically Python or R), and a solid background in both finance and machine learning, often supported by a relevant degree such as in computer science, statistics, mathematics, or finance. Familiarity with machine learning libraries (like TensorFlow, scikit-learn), financial modeling tools, and certifications such as CFA or FRM can be highly beneficial. Excellent problem-solving abilities, communication skills, and a collaborative attitude help professionals translate complex data into practical financial insights and work effectively with both technical and non-technical stakeholders. These competencies enable you to create robust predictive models, drive innovation in financial analysis, and ensure sound decision-making in dynamic industry settings.

What are some typical challenges faced by professionals in machine learning finance roles?

Professionals in Machine Learning Finance often encounter challenges such as working with noisy or incomplete financial data, keeping up with rapidly evolving algorithms, and ensuring model compliance with industry regulations. They may also need to bridge the gap between technical model development and practical business needs, communicating complex findings to non-technical teams. These roles typically involve close collaboration with traders, financial analysts, and risk managers to ensure that machine learning solutions are both accurate and actionable. Facing these challenges can be rewarding, offering significant opportunities for skill development and career advancement in a data-driven financial landscape.

What is a machine learning finance?

A Machine Learning Finance job involves applying machine learning techniques to financial problems such as risk assessment, algorithmic trading, fraud detection, and portfolio optimization. Professionals in this field build predictive models, analyze large datasets, and automate decision-making processes to improve financial performance. They typically work with tools like Python, TensorFlow, and financial datasets to develop AI-driven solutions. These roles require expertise in machine learning, statistics, and financial markets, often blending data science with quantitative finance.

What are the most commonly searched types of Machine Learning Finance jobs in Pittsburgh, PA? The most popular types of Machine Learning Finance jobs in Pittsburgh, PA are:
What are popular job titles related to Machine Learning Finance jobs in Pittsburgh, PA? For Machine Learning Finance jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Finance jobs in Pittsburgh, PA look for? The top searched job categories for Machine Learning Finance jobs in Pittsburgh, PA are:
Machine Learning Finance jobs near you
Infographic showing various Machine Learning Finance job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $89,928 per year, or $43.2 per hour.

Sr Machine Learning Engineer

System One

Pittsburgh, PA • On-site

$101K - $139K/yr

Contractor

Posted 18 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