1

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

Strong ML background overall (ML Scientist / ML Engineer trajectory) * Strong coding and engineering skills Responsibilities * Develop and improve / Voice Generation models * Train, fine-tune, and ...

The Data Scientist II will support the development of AI, machine learning, and natural language processing solutions, help translate data into actionable insights for internal stakeholders, and ...

The Data Scientist II will support the development of AI, machine learning, and natural language processing solutions, help translate data into actionable insights for internal stakeholders, and ...

The Data Scientist II will support the development of AI, machine learning, and natural language processing solutions, help translate data into actionable insights for internal stakeholders, and ...

We are looking for an experienced Data Scientist to lead the development of advanced analytics, machine learning models, and data products that deliver measurable business impact. This role will be ...

This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and ... science, machine learning engineering, or data pipeline development. * Proficient in Python, SQL ...

As an Artificial Intelligence and Machine Learning Computational Science professional, you will play a pivotal role in formulating real-world problems into practical, efficient, and scalable AI and ...

The perfect candidate brings a powerful blend of programming prowess, machine learning mastery, and ... Lead complex data science projects from conception to implementation, working with various ...

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Data Scientist

Miami, FL · On-site +1

... of machine learning models, including training and validation of classifiers and detection systems * Generate data products suitable for use by downstream scientific stakeholders (e.g., stock ...

... of machine learning models, including training and validation of classifiers and detection systems * Generate data products suitable for use by downstream scientific stakeholders (e.g., stock ...

... of machine learning models, including training and validation of classifiers and detection systems * Generate data products suitable for use by downstream scientific stakeholders (e.g., stock ...

... of machine learning models, including training and validation of classifiers and detection systems * Generate data products suitable for use by downstream scientific stakeholders (e.g., stock ...

Showing results 41-60

Scientific Machine Learning information

See Miami, FL salary details

$13

$30

$50

How much do scientific machine learning jobs pay per hour?

As of Aug 10, 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 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 Miami, FL? For Scientific Machine Learning jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Scientific Machine Learning jobs in Miami, FL look for? The top searched job categories for Scientific Machine Learning jobs in Miami, FL 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, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $62,621 per year, or $30.1 per hour.

Part-Time Lecturer - Applied Machine Intelligence (Miami)

NorthEastern

Miami, FL

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago


Job description

About the Opportunity

The College of Professional Studies at Northeastern University invites applications for a non-tenure track part time faculty lecturer in Applied Machine Intelligence on the Miami campus.

The College of Professional Studiesis one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.

Northeastern University will not provide H-1B, TN, O-1, E-3, or any other type of employment visa sponsorship for the successful applicant to this position, now or in the future. Furthermore, the successful applicant must be able to maintain valid work authorization in the United States throughout the entire appointment without Northeastern University's sponsorship for a visa.

Responsibilities

Qualified candidates must be prepared to work with global student populations.

The Master of Professional Studies in Applied AI is looking for part-time faculty to teach courses across the program with special emphasis on applied artificial intelligence, machine learning, natural language processing, computer vision, and experiential learning addressing business and technical challenges in industry.

Instructional areas include, but are not limited to:

  • Core AI courses: Applied Artificial Intelligence, Applied Machine Learning, Applied Natural Language Processing, Applied Computer Vision
  • Specialized areas: Deep Learning, Generative AI, Prompt Engineering, Conversational AI and Chatbots, Reinforcement Learning
  • Applied domains: Machine Learning for Cybersecurity, AI for 3D Imaging, Recommender Systems, Quantum AI, Blockchain AI, AI for Autonomous Systems
  • Foundational courses (for Connect pathway students): Python programming, Mathematical Concepts, Research Methods and Scientific Writing

The Applied AI degree is a multi-disciplinary, experience-based program that prepares professionals from diverse backgrounds to harness the transformative potential of artificial intelligence. Through courses and projects that focus on applied machine learning, AI implementation, ethical AI practices, and real-world applications, students learn to create AI solutions across manufacturing, healthcare, finance, and other industries. The program emphasizes accessibility, offering pathways for both technical and non-technical professionals to transition into AI-focused roles.

Qualifications

Minimum qualifications:

  • Terminal degree (Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or an aligned discipline
  • Demonstrated professional experience implementing AI/ML solutions in industry settings
  • Proficiency in Python and modern AI/ML frameworks (TensorFlow, PyTorch, scikit-learn, or similar)

Strongly preferred:

  • 5+ years of professional experience in AI/ML development, implementation, or strategy roles
  • Demonstration of teaching, coaching, and/or training experience with a history of successful teaching (online/on-ground) at the graduate level strongly preferred
  • Experience teaching adult learners or working professionals
  • Expertise in one or more specialized areas: natural language processing, computer vision, generative AI, deep learning, conversational AI, reinforcement learning, or AI applications in specific domains (cybersecurity, 3D imaging, autonomous systems)
  • Understanding of AI ethics, governance, and responsible AI practices
  • Ability to make complex AI concepts accessible to learners from diverse academic backgrounds

Application Materials

Applicants should submit materials including a cover letter and vitae.

Successful faculty at Northeastern will be dynamic and innovative scholars with a record of teaching excellence and a commitment to fostering belonging in the university community. Thus, strong candidates for this faculty position will have the expertise, knowledge, and skills to build their pedagogy, and curriculum in ways that reflect and enhance this commitment. Please indicate how your expertise, knowledge, and skills have prepared you to contribute to this work in your cover letter.

Please direct questions to John Wilder at j.wilder@northeastern.edu.

Application will be reviewed until the position is filled.

Position Type

Academic

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

Pay Range:

The per credit rate for this position is $1,569.00.