Develop a practical understanding of machine learning through real-world projects. You’ll explore predictive modeling, automation, and how data-driven systems improve efficiency.
Master Python for data analysis, machine learning, and automation. Build predictive models, create dynamic dashboards, and unleash the power of data visualization. Launch your career in data science and Python engineering, equipped with Python, NumPy, Pandas, and Matplotlib.
Learn Python, SQL, automation, and machine learning to become a Data Scientist. Gain Python programming, data analysis, SQL querying, and predictive modeling skills. Perfect for beginners, this program prepares you for entry-level data science and Python engineering roles. Unlock high-paying job opportunities in the field of data science.
Learn the fundamentals of machine learning, including regression analysis and classification algorithms, in this practical, hands-on course. Gain the skills needed to solve real-world problems using machine learning, with a focus on Python programming and data science libraries.
Machine learning is a branch of artificial intelligence that focuses on enabling computers to learn from data and improve their performance over time without being explicitly programmed for every task. Instead of following fixed rules, machine learning systems analyze patterns in large datasets to make predictions, classifications, or decisions. Common applications include recommendation systems, fraud detection, image and speech recognition, and predictive analytics. By continuously learning from new data, machine learning models become more accurate and effective, making the technology a key driver behind many modern innovations across industries such as healthcare, finance, marketing, and technology.
Over the past several years, the job market in Miami for AI and machine learning jobs has begun to grow. This acceleration goes hand-in-hand with the city’s evolution into a tech hub. In the past, the tech scene in Miami was smaller. Recently, however, this sector has seen tremendous growth in data and tech-related career paths. In fact, the city has seen a 10% increase in the 2020s, year to year, in tech jobs. Data science careers are largely driving this expansion.
Miami is currently listed in the top 30 cities in the country for data science-related careers. Even though the job postings for AI and machine learning jobs are relatively moderate in number (Indeed lists just over 400 career opportunities), it’s nonetheless a significant jump from the jobs available several years ago. Tech demand is especially strong in Miami industries like tourism, healthcare, and finance. The city’s emergence as a tech hub is also driven by the prevalence of hedge funds, startups in cryptocurrency and FinTech, and venture capital. Additionally, several prominent tech companies have relocated to this area, which has created additional career opportunities for machine learning professionals. With initiatives like the University of Miami’s Institute for Data Science and Computing, as well as Miami Tech Week, tech workforce development remains a top priority in Miami.
Machine learning plays an integral role in several key industries in Miami. The following list reveals how machine learning is used in Miami’s most prominent industries, as well as the way it is transforming operations for professionals employed in each:
Salary ranges for machine learning careers in Miami typically fall around, or are just below, the national averages for these professionals. For example, Miami-based Data Scientists earn $113,000-$123,000 a year, which falls 7% below the U.S. average. It’s important to note that this range is broad. Junior-level Analysts usually earn salaries that fall closer to $70,000, whereas those with years of experience in data science or finance can make more than $180,000 a year in Miami. According to Indeed, the average salary for a Machine Learning Engineer in Miami is $147,000-$157,000 annually. Those who hold junior positions can expect to make closer to $106,000, whereas individuals in senior roles sometimes earn $217,000. While this range still falls about 8% under the national average, it’s a strong, six-figure salary.
Another important factor is that there’s no state income tax in Florida, which means these salary ranges yield higher take-home pay than elsewhere in the country. In an effort to attract talent, Miami is beginning to offer extremely competitive salaries for in-demand career paths in technology and finance. Senior Machine Learning Engineers who work in the city in FinTech typically earn $150,000-$200,000 a year. Those who have managerial positions can expect to make even more. An increasing number of Miami employers are also offering remote or flexible work options in an effort to acquire machine learning talent.
Most of the machine learning jobs in Miami are in several major industries that are essential to the local economy, like finance, healthcare, and tourism. The following list includes several Miami employers, by industry, that are looking to acquire machine learning experts to help with operations:
In addition to the above-mentioned job openings, several major industry giants have also recently extended their operations to Miami. These include the AI startup Magic Leap, which is located in Plantation, as well as Microsoft. Even though the number of available jobs in the Miami greater metro area is smaller than in other tech hubs, the city has a solid demand for machine learning professionals in startups and corporate environments.
As Miami continues to evolve into a hub for AI and technology, there has been a corresponding increase in machine learning jobs. This trend is especially pronounced in industries like FinTech. Miami is often referred to as “Wall Street South,” a nod to the prevalence of financial establishments in Brickell and beyond. The outlook in Miami for machine learning roles is expected to remain strong, though Miami is faced with the challenge of creating a larger pipeline for local talent. This is currently being reinforced by programs at local universities like Florida International University and the University of Miami, as well as through coding bootcamps. More qualified Data Scientists are emerging from the city than in the past, which is a trend that’s expected to continue to supply talent and fill job openings.
The Miami tech scene continues to mature, and major companies like Microsoft and IBM (which have opened operations in that region) are key players. Additionally, startups in tourism, healthcare, and finance are increasingly employing AI in their daily operations. This is not seen as a passing trend but more as an indication of career growth and the many opportunities available for machine learning professionals in the city.
A strong foundation in data science is essential for pursuing a career in machine learning. Noble Desktop’s Data Science Certificate gives students the knowledge and hands-on experience needed to enter this high-demand field. In the program, students learn to analyze tabular data using NumPy and Pandas, create visualizations with Matplotlib, make predictions with linear regression, and apply machine learning algorithms to real datasets. The curriculum also covers data cleaning and balancing, model evaluation, combining data with join statements, and advanced database concepts such as subqueries and stored procedures.
The Python for Machine Learning Bootcamp builds on core Python skills to provide a deeper understanding of machine learning models and algorithms that learn patterns and make decisions independently. Students begin with linear and logistic regression before progressing to methods such as k-nearest neighbors, decision trees, and random forests. The course also introduces key statistical concepts, including bias, variance, and overfitting, along with techniques for evaluating model accuracy and selecting effective features and algorithms.
Noble Desktop’s Python Programming Certificate for Data Science and Machine Learning focuses on the programming skills needed to analyze data and work with databases in professional settings. Students learn to use NumPy, Pandas, and Matplotlib for data analysis and predictive modeling with tools like scikit-learn, as well as how to write complex database queries—an essential skill for cleaning and preparing data for analysis in Python.
Additional learning opportunities are available through NYIM Training and NYC Career Centers, which offer courses in data science, Python, and machine learning. For high school students looking to get an early start, NextGen Bootcamp’s Summer Data Science program introduces machine learning concepts in an immersive, hands-on format, equipping students with practical skills they can apply immediately and invest in their future careers.
Artificial intelligence is one of the most rapidly evolving areas in today’s technology landscape, making machine learning skills increasingly valuable for modern teams. Organizations can strengthen their capabilities by investing in focused corporate machine learning training through Noble Desktop. Expert instructors can deliver training onsite at your workplace or through live, interactive virtual sessions. For teams that prefer flexible scheduling, companies can also purchase vouchers that allow employees to enroll individually in public open-enrollment classes, with discounts available for bulk purchases. Contact Noble Desktop to learn more about available training options.