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Scientific Machine Learning Jobs in Miami, FL (NOW HIRING)

AI Scientist | West Palm Beach, FL About Our Client Our client develops and deploys systematic ... Conduct research in Machine Learning to improve multiple aspects of the investment pipeline

Machine Learning Engineer

Sunrise, FL ยท On-site

$90K - $110K/yr

Role - Machine Learning Engineer Experience Required -8+ Years We are seeking a Machine Learning ... Experience deploying ML/GenAI systems in production environments. * data scientist * Can do ML ...

Machine Learning Tutor

Miramar, FL ยท Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Doral, FL ยท Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Sunrise, FL ยท Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Coral Gables, FL ยท Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Hialeah, FL ยท Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Cooper City, FL ยท Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Miami Beach, FL ยท Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machine Learning Tutor

Miami, FL ยท Remote

$18 - $40/hr

... science roles and advanced AI coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Scientific Machine Learning information

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How much do scientific machine learning jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for scientific machine learning in Miami, FL is $30.11, according to ZipRecruiter salary data. Most workers in this role earn between $18.41 and $38.41 per hour, depending on experience, location, and employer.

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 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 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 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 Miami, FL?

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

What cities near Miami, FL are hiring for Scientific Machine Learning jobs?

Cities near Miami, FL with the most Scientific Machine Learning job openings:

Infographic showing various Scientific Machine Learning job openings in Miami, FL as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $62,621 per year, or $30.1 per hour.

Machine Learning Researcher

AAA Global

Miami, FL โ€ข On-site

Other

Posted 5 days ago


Job description

AI Scientist | West Palm Beach, FL


About Our Client

Our client develops and deploys systematic financial strategies across a broad range of asset classes and global markets, producing high-quality predictive signals (alphas) through a proprietary research platform focused on market inefficiencies. Their culture pairs academic sensibility with accountability for results โ€” employees are encouraged to think openly, challenge conventional thinking, and pursue continuous improvement. Great ideas can come from anyone, anywhere.


They're looking to hire the best and the brightest โ€” people with outstanding intellectual horsepower who can help build the roadmap to future success, not just follow one.


The Role

We are seeking an exceptionally talented AI Scientist to join our client's Artificial Intelligence team. The successful candidate will:

  • Conduct research in Machine Learning to improve multiple aspects of the investment pipeline
  • Produce trading and predictive signals using innovative ML algorithms
  • Apply the latest LLM-based agentic technology to develop and test trading signals and algorithms
  • Implement signal compression and combination techniques using ML tools
  • Implement state-of-the-art machine learning algorithms and design deep learning architectures
  • Develop model frameworks for investment professionals
  • Collaborate with portfolio managers and researchers to optimize machine learning algorithms
  • Communicate effectively with team members, researchers, and portfolio managers


What You'll Bring

  • PhD in a quantitative or highly analytical field (Computer Science, Physics, Mathematics, Statistics, or related)
  • 2+ years of research or work experience applying Machine Learning in innovative ways to complex problems
  • Track record of graduating at the top of your program, with excellent problem-solving abilities, insight, and judgment
  • Strong development skills and proficiency in C++, Python, and PyTorch
  • Demonstrated science aptitude via a record of creativity and invention, with the ability to run experiments and perform statistical inference
  • Experience with software development tools and practices (version control/Git, continuous integration, testing frameworks)
  • Advanced practitioner-level knowledge of statistical inference, machine learning, software solvers, and/or mathematical optimization
  • Strong communication skills; ability to express complex concepts in simple terms


If you are interested in this role, please feel free to send your resume to jing@aaaglobal.co.uk.