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Machine Learning Finance Jobs in Baltimore, MD (NOW HIRING)

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 ...

AI Data Engineer

Owings Mills, MD · Hybrid

$109.20K - $131.10K/yr

Build and operationalize machine learning models, facilitating their integration into business ... Experience in the asset management or financial services industry. * Familiarity with MLOps, CI/CD ...

They are seeking AI/ML Engineers to build, deploy, and maintain machine learning models and data ... project management and financial analysis. Founded in 2007, the company is headquartered in ...

Post-Doctoral Associate

College Park, MD · On-site +1

$85K - $95K/yr

Develop and improve machine learning and deep learning models for crop yield forecasting and ... Yes Salary Range: $85,000 - $95,000 Commensurate with experience Financial Disclosure Required No ...

Artificial Intelligence SME

Annapolis, MD · On-site

$200K - $230K/yr

Serve as the primary technical authority for artificial intelligence and machine learning concepts ... Our compensation includes other indirect financial components designed to support employees' total ...

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 ...

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Machine Learning Finance information

See Baltimore, MD salary details

$24.8K

$92K

$134.6K

How much do machine learning finance jobs pay per year?

As of May 28, 2026, the average yearly pay for machine learning finance in Baltimore, MD is $92,042.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $108,300.00 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.
What are the most commonly searched types of Machine Learning Finance jobs in Baltimore, MD? The most popular types of Machine Learning Finance jobs in Baltimore, MD are:
What are popular job titles related to Machine Learning Finance jobs in Baltimore, MD? For Machine Learning Finance jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Machine Learning Finance jobs in Baltimore, MD look for? The top searched job categories for Machine Learning Finance jobs in Baltimore, MD are:

Senior Finance Analyst (Finance)

QinetiQ US

Fort George G Meade, MD • On-site

$94.80K - $118.10K/yr

Other

Posted 20 days ago


Job description

Company Overview

We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).

QinetiQ US's dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.

Why Join QinetiQ US?

If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems.  In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.

Position Overview

Join us in our support to the US Space Force (HQ USSF) Commercial Satellite Communication (COMSATCOM) Office (CSCO), where you will help shape the future of assured, resilient SATCOM for our warfighters and mission partners. As a key member of a highly collaborative, mission-focused team, you will apply your expertise to help deliver innovative commercial SATCOM capabilities, integrate a transformative COMSATCOM business model into the broader SATCOM enterprise, and translate complex operational needs into effective, affordable solutions. In this role, you will work directly with COMSATCOM customers and stakeholders, providing trusted guidance, insightful analysis, and clear recommendations that drive real-world impact in a rapidly evolving space domain. Job duties include:

Responsibilities
  • Provide senior financial and acquisition support for current and future COMSATCOM efforts, with focus on cost, schedule, performance, and funding execution.
  • Lead or support development, review, and staffing of program and acquisition documents, including Independent Government Cost Estimates (IGCEs), Military Interdepartmental Purchase Requests (MIPRs), project outlines, and other financial planning artifacts.
  • Advise clients on budgeting, accounting, cost accounting, cash flow management, internal financial controls, and related process improvement initiatives.
  • Support implementation and sustainment of internal control activities consistent with the Federal Managers' Financial Integrity Act and related remediation efforts.
  • Analyze financial data, identify trends, and recommend actionable solutions to improve efficiency, strengthen controls, and enhance execution of business processes.
  • Monitor project financial status and provide clear, timely reporting to client stakeholders on a daily, weekly, and monthly basis, as required.
  • Provide guidance on funds management, obligation and expenditure tracking, and other accounting and finance matters in accordance with applicable federal and Department of War (DoW) requirements.
  • Coordinate across government, contractor, and mission stakeholders to ensure financial documentation is accurate, complete, and aligned with program objectives.
  • Perform special projects and other duties as assigned in support of mission and client priorities
Required Qualifications
  • Bachelor's degree in Accounting, Finance, Business Management, or a related field.
  • Minimum 8 years of government financial management experience, preferably supporting DoW or other federal agencies.
  • Demonstrated expertise with financial management systems, databases, and analytical tools.
  • Strong knowledge of federal acquisition and financial management principles, including FAR and government pricing procedures.
  • Excellent organizational, analytical, verbal, and written communication skills, with strong attention to detail.
  • Proven ability to solve complex problems, exercise sound judgment, and operate independently in a dynamic client environment.
  • Ability to collaborate effectively across diverse teams and stakeholders while managing multiple priorities and deadlines.
  • Secret clearance required. #qinetiqclearedjob
  • Ability to support on-site client meetings within the National Capital Region. 
Preferred Qualifications
  • Master's degree in accounting, Finance, Business Management, or a related field.
  • Prior experience supporting DoW financial management, acquisition, or contracting organizations.
  • Experience developing complex pricing or rate structures and supporting cost analysis activities.
  • Demonstrated success building strong client relationships and managing customer expectations.
  • Experience communicating effectively with cross-functional teams, senior leadership, and external stakeholders.
  • Financial management certification(s) or demonstrated application of financial management best practices
  • Knowledge of Federal Appropriations Law and funds execution in a federal or defense environment.
  • TS clearance with SCI eligibility.
Pay Transparency

The salary range for this role is $115,000- $165,000 USD. The salary range provided is a good faith estimate representative of all experience levels. QinetiQ US considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.

Company EEO Statement

Accessibility/Accommodation:

If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 1 and let us know the nature of your request and contact information.

QinetiQ US is an Equal Opportunity employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.

Employment Type: OTHER