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Machine Learning Finance Jobs in Maryland (NOW HIRING)

Autodesk

Senior Principal AI/ML Developer

California, MD · On-site +1

$120K - $165K/yr

Our GET Applied AI org is looking for a seasoned Sr. Principal Scientist/Machine Learning Developer ... Strong understanding of statistics, probability, and financial modeling * Ability to translate data ...

Pointer Technologies

Data Scientist

Annapolis Junction, MD · On-site

$100K - $280K/yr

In this role, you will work at the intersection of data analysis, machine learning, and mission ... Background in specific domains (e.g., marketing analytics, healthcare, finance). Clearance TS/SCI ...

GRVTY

Data Scientist 2

Annapolis, MD · On-site

$115K - $145K/yr

This role combines artificial intelligence and machine learning skills with a strong foundation in ... financial wellness, retirement planning, family assistance, continued education, and paid time off.

GRVTY

Data Scientist 2

Annapolis Junction, MD · On-site

$115K - $145K/yr

This role combines artificial intelligence and machine learning skills with a strong foundation in ... financial wellness, retirement planning, family assistance, continued education, and paid time off.

GRVTY

Senior Software Engineer

Laurel, MD · On-site +1

$150K - $200K/yr

Experience with Machine Learning Model building and monitoring * Experience with Ghostmachine (Map ... financial wellness, retirement planning, family assistance, continued education, and paid time off.

GRVTY

Senior Software Engineer

Laurel, MD · On-site

$150K - $200K/yr

Experience with Machine Learning Model building and monitoring * Experience with Ghostmachine (Map ... financial wellness, retirement planning, family assistance, continued education, and paid time off.

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Showing results 41-60

All JobsMachine Learning Finance JobsMachine Learning Finance Jobs in Maryland

Machine Learning Finance information

See Maryland salary details

$24.3K

$89.9K

$131.5K

How much do machine learning finance jobs pay per year?

As of Aug 20, 2026, the average yearly pay for machine learning finance in Maryland is $89,903.00, 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.

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 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 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 the most commonly searched types of Machine Learning Finance jobs in Maryland?

The most popular types of Machine Learning Finance jobs in Maryland are:

What are popular job titles related to Machine Learning Finance jobs in Maryland?

For Machine Learning Finance jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Machine Learning Finance jobs in Maryland look for?

The top searched job categories for Machine Learning Finance jobs in Maryland are:

What cities in Maryland are hiring for Machine Learning Finance jobs?

Cities in Maryland with the most Machine Learning Finance job openings:

Machine Learning Finance jobs near you
Infographic showing various Machine Learning Finance job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $89,903 per year, or $43.2 per hour.

Lead AI engineer (Fintech Domain)

Intone Networks Inc.

Rockville, MD • On-site

$104K - $137K/yr

Other

Posted 10 days ago

Job description

Hi ,
 
Hope you are doing great do let me know if you are interested , 
 
Title             : Lead AI engineer
Location       : 3 days onsite in Rockville, MD
Duration       : 6-12 months 
Interview       : Virtual & In-Person
 
 
Experience Requirements
  • 8+ years in software engineering or machine learning with production AI/ML delivery.
  • Experience in regulated industries such as finance, legal, or healthcare.
  • Strong expertise in NLP and large language models.
  • Hands-on experience with retrieval-augmented generation.
  • Proficiency in model evaluation and benchmarking, including LLM-specific evaluation.
  • Familiarity with multimodal AI across text, image, and layout.
  • Proficiency in Python and LLM orchestration or agent frameworks such as LangChain or AWS Strands.
  • Experience with vector databases such as PG Vector or Pinecone.
  • Background in document processing pipelines, including OCR and PDF parsing.
  • Experience with cloud platforms such as AWS, Google Cloud Platform, or Azure.
  • MLOps, CI/CD, model monitoring, and scalable distributed system design.
  • Experience with explainable AI and understanding of auditability and governance requirements.
  • Exposure to industry regulations and compliance frameworks (preferred).
  • Experience building legal or compliance-focused AI systems (preferred).
  • Familiarity with marketing or advertising review processes (preferred).
  • Experience analyzing structured and unstructured documents, including charts and disclosures (preferred).
  • Background in hybrid AI systems combining rules and machine learning (preferred).
 
Education Requirements
  • Bachelor's or Master's degree in Computer Science, AI/ML, or related field.
  • PhD preferred but not required.
 

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