1

Scientific Machine Learning Jobs in Maryland (NOW HIRING)

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior ... Collaborate closely with product managers, data scientists, and backend engineers to deeply ...

Showing results 41-60

Scientific Machine Learning information

What is scientific machine learning?

Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.

What are some common challenges faced by professionals in scientific machine learning, and how can they be addressed?

Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.

What are the key skills and qualifications needed to thrive as a scientific machine learning professional, and why are they important?

To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.

What is the difference between Scientific Machine Learning vs Data Scientist?

AspectScientific Machine LearningData Scientist
Required credentialsAdvanced degrees in CS, ML, or related fields; knowledge of scientific computingDegree in CS, statistics, or related fields; strong analytical skills
Work environmentResearch labs, academia, industry R&D teamsBusiness analytics, tech companies, consulting firms
Industry usageResearch, scientific computing, engineering simulationsBusiness insights, predictive modeling, data analysis

Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.

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

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

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

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

Infographic showing various Scientific Machine Learning job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

AI/Machine Learning Specialist

Black Canyon Consulting

Bethesda, MD โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago


Job description

Overview
Black Canyon Consulting (BCC) seeks a AI/Machine Learning Specialistthat will lead design and deployment of AI/ML models that advance MC&FP's mission outcomes while ensuring ethical and compliant use.
We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition and conference reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!
Duties & Responsibilities:
  • Designs AI/ML prototypes, prompt engineering libraries, and ethical AI frameworks aligned with DoD AI Ethics Principles.
  • Implement data pipelines and model governance controls
  • Collaborate with DoD CIO on AI ethics and RMF AI risk alignment
Minimum Qualifications:
  • 8 + years of experience in AI, ML, or data science solutions
  • Bachelor's in Data Science, CS, or Engineering
  • Experience handling Controlled Unclassified Information (CUI) at minimum
  • Public Trust eligibility
    • must have at least Public Trust or ADP/IT-2 investigations
  • Experience with Python, TensorFlow, or PyTorch

Preferred Qualifications:
  • CQA, CMQ/OE, or equivalent certification
  • Experience supporting DoD quality programs
  • Experience handling Controlled Unclassified Information (CUI) at minimum
  • Experience supporting DoD quality programs
Benefits and Salary
We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement.
We offer a competitive salary commensurate with experience and location. The targeted range for this position is $135,000 - $205,000.
If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!