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Artificial Intelligence Machine Learning Jobs in Miami Beach, FL

Lynker

Marine Sensor Data Scientist - AI/ML

Miami, FL · On-site

$125 - $150/hr

Coordinate with project partners to optimize data collection and sensor configurations for artificial intelligence and machine-learning applications. * Maintain familiarity with active and passive ...

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All JobsArtificial Intelligence Machine Learning JobsArtificial Intelligence Machine Learning Jobs in Miami Beach, FL

Artificial Intelligence Machine Learning information

See Miami Beach, FL salary details

$13

$26

$47

How much do artificial intelligence machine learning jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for artificial intelligence machine learning in Miami Beach, FL is $26.02, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $27.55 per hour, depending on experience, location, and employer.

What is an artificial intelligence machine learning?

An Artificial Intelligence Machine Learning (AI/ML) job involves developing algorithms and models that enable machines to learn and make decisions without explicit programming. Professionals in this field work with large datasets, build predictive models, and optimize AI systems for tasks like natural language processing, computer vision, and automation. They often use programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and cloud platforms for deploying models. AI/ML jobs can be found in industries like healthcare, finance, robotics, and cybersecurity, aiming to improve efficiency and decision-making through intelligent systems.

What does an artificial intelligence machine learning professional do?

As an Artificial Intelligence Machine Learning professional, you may develop and fine-tune predictive models, process large datasets, and use algorithms to extract actionable insights. Your projects could include designing recommendation systems, automating decision-making processes, or deploying machine learning models into production environments. Collaboration with software engineers, data scientists, product managers, and business stakeholders is common to ensure technology solutions align with organizational objectives. You might also be involved in continuous model evaluation and improvements to enhance accuracy and efficiency over time.

What are the key skills and qualifications needed to thrive in artificial intelligence machine learning?

To excel in an Artificial Intelligence Machine Learning role, you need a solid background in mathematics, statistics, programming (typically Python or R), and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or Scikit-learn), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Certified Machine Learning are commonly required. Strong problem-solving abilities, communication skills, and a collaborative mindset are crucial soft skills. These competencies enable professionals to develop effective AI solutions, navigate complex data challenges, and work seamlessly with cross-functional teams.

Is artificial intelligence machine learning a good career?

Artificial Intelligence and Machine Learning are rapidly growing fields with high demand for skilled professionals, offering competitive salaries and diverse opportunities across industries. Success typically requires strong programming skills, knowledge of algorithms, and experience with tools like Python and TensorFlow. Continuous learning and staying updated with new developments are important for long-term career growth.

What jobs can I get with artificial intelligence machine learning?

Artificial Intelligence and Machine Learning professionals can pursue roles such as AI Engineer, Data Scientist, Machine Learning Engineer, Research Scientist, and AI Software Developer. These roles typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What job categories do people searching Artificial Intelligence Machine Learning jobs in Miami Beach, FL look for?

The top searched job categories for Artificial Intelligence Machine Learning jobs in Miami Beach, FL are:

What cities near Miami Beach, FL are hiring for Artificial Intelligence Machine Learning jobs?

Cities near Miami Beach, FL with the most Artificial Intelligence Machine Learning job openings:

Artificial Intelligence Machine Learning jobs near you
Infographic showing various Artificial Intelligence Machine Learning job openings in Miami Beach, FL as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $54,119 per year, or $26 per hour.

Director Artificial Intelligence

Octagon Talent

Fort Lauderdale, FL

Full-time

Re-posted 12 days ago

Job description

Octagon Talent Solutions is seeking a highly skilled and visionary Director of Data Science & Artificial Intelligence in the Fort Lauderdale, FL area to lead our data initiatives and drive innovative solutions using advanced AI technologies. The ideal candidate will bring extensive expertise in AI orchestration and advanced proficiency in Power BI. With a strong history of developing and implementing data-driven strategies, you will play a pivotal role in enhancing business decision-making processes. This combination of technical proficiency and strategic insight ensures measurable value and impactful results, aligning with organizational goals and driving success. Key Responsibilities: - Lead and oversee the data science and AI team, ensuring alignment with organizational goals and driving a culture of excellence in data analytics and AI solutions. - Develop and implement a strategic roadmap for AI initiatives, focusing on orchestration and optimization of AI- powered tools and processes across the organization. - Design and implement advanced analytics models, leveraging machine learning and AI techniques to solve complex business problems and uncover actionable insights. - Collaborate with cross-functional teams to identify data-driven opportunities, providing recommendations based on data insights and predictive analytics. - Utilize Power BI to create dynamic dashboards and visualizations that communicate key performance indicators and drive strategic decision-making. - Mentor and develop team members, fostering a collaborative environment that encourages innovation and professional growth. - Stay abreast of industry trends and advancements in data science and AI, integrating new technologies and methodologies into current practices. - Ensure data integrity and quality throughout all data science projects, enforcing best practices in data management and governance. Requirements: - Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field; Master’s or Ph.D. preferred. - At least 7-10 years of experience in data science, with a minimum of 3 years in a leadership or managerial role. - Proven expertise in AI orchestration methodologies and tools, with a solid understanding of model deployment and monitoring. - Strong experience with Power BI for data visualization and reporting, including knowledge of DAX and Power Query. - Proficient in programming languages such as Python, R, or SQL, with experience in machine learning frameworks (e.g., TensorFlow, PyTorch). - Excellent analytical and problem-solving skills, with a strategic mindset and a passion for turning data into insights. - Exceptional leadership and communication skills, capable of conveying complex concepts to both technical and non-technical stakeholders. - Experience in agile methodologies and project management is a plus. Why Join Us: This is an exciting opportunity to shape the future of our organization through data-driven insights and innovative AI solutions. If you are a forward-thinking leader with a passion for data science and a commitment to excellence, we invite you to apply and become a key driver of our data strategy.