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Machine Learning Finance Jobs in Maryland (NOW HIRING)

Hartman Executive Advisors

MD

... financial returns and market dominance. By developing a deep understanding of the business ... Stay current with developments in AI, machine learning, and generative AI. * Contribute to internal ...

CACI International

AI/ML Engineer Level 2

Suitland, MD · On-site

$94.40K - $198.20K/yr

The ideal candidate will have a strong background in machine learning, deep learning, and AI system ... At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial ...

Potomac Inc

ML Data Engineer (Contract-to-hire)

Bethesda, MD · On-site

$122.70K - $147.40K/yr

We are seeking a Machine Learning Data Engineer to join our team and play a critical role in ... Prior experience in financial services, fintech, or regulated data environments. * Experience ...

HelioCampus

Data Scientist I

Bethesda, MD · On-site +1

... finance/budget. * 3+ years of experience delivering analytical insights to higher ed stakeholders, including building and evaluating machine learning models (python and scikit-learn experience ...

HelioCampus

Data Scientist I

Bethesda, MD · On-site +1

... finance/budget. * 3+ years of experience delivering analytical insights to higher ed stakeholders, including building and evaluating machine learning models (python and scikit-learn experience ...

Dlapiper

FP&A Analyst

Baltimore, MD · Hybrid

Minimum Years of Experience * 2 years' experience in finance, accounting, FP&A, or data analytics, preferably with exposure to AI/machine learning initiatives and revenue/expense management. Open to ...

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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 May 28, 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 job?

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 key skills and qualifications needed to thrive in the Machine Learning Finance position, 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.
More about Machine Learning Finance jobs
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 May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $89,903 per year, or $43.2 per hour.
AI Analyst

AI Analyst

Hartman Executive Advisors

Full-time

Medical, Dental, Vision, Retirement

Posted 17 days ago

Job description

Hartman Executive Advisors was founded with the vision of providing business-focused, vendor-independent consulting to mid-sized companies. As independent, trusted strategic advisors to our clients, Hartman’s mission is to create meaningful business outcomes that foster growth, greater financial returns and market dominance. By developing a deep understanding of the business challenges arising from poorly aligned technology and uncovering the transformational opportunities that result from strategically aligned technology, we set the path to advance, cultivate and leverage people, processes and systems to change and transform organizations. At Hartman, we deliver powerful business outcomes by leveraging technology strategy as a gamechanger for our clients.

Summary
The AI Analyst supports the design, development, and deployment of artificial intelligence and machine learning solutions to solve business problems for clients and internal teams. This role combines data analysis, AI model development, and consulting support to help translate business needs into practical AI-driven solutions. The AI Analyst will work within Hartman’s Data/AI service line supporting a portfolio of client engagements related to prompt design, tool testing, and prototype creation.

Responsibilities

Model Development & Testing

  • Assist in building, training, and validating machine learning models.
  • Support development of predictive models, NLP systems, or automation tools.
  • Evaluate model performance using appropriate metrics and validation methods.

AI Solution Development

  • Contribute to development of AI-driven applications or prototypes.
  • Work with engineers to deploy models into production environments.
  • Support integration of AI solutions with client systems and workflows
Business & Client Engagement
  • Translate business requirements into analytical and AI use cases.
  • Assist with client workshops, presentations, and demonstrations of AI solutions.
  • Document methodologies, results, and recommendations.

Research & Innovation

  • Stay current with developments in AI, machine learning, and generative AI.
  • Contribute to internal knowledge sharing and thought leadership.

Qualifications

  • Bachelors Degree in Computer Science, Data Analysis or IT related field
  • 2+ years of professional experience preferably in data analysis, business process improvement with a background experimenting and working hands-on with AI tools
  • Familiarity with generative AI tools like Copilot, Claude, ChatGPT or Power Automate
  • Strong communication and presentation skills
  • Ability to translate technical findings into business insights
  • Background in consulting and/or professional services preferred but not required
Job Type:  Full-Time
Benefits: Medical, Dental, Vision, 401k with Match