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Artificial Intelligence Machine Learning Jobs in Boca Raton, FL

Pwc

AI Engineer

Boca Raton, FL

$50K - $112K/yr

... Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable the AI models to be useful ...

Motorola

UX Designer and AI Strategist

Plantation, FL · On-site

A strong understanding of core Artificial Intelligence concepts, including Machine Learning (ML), Natural Language Processing (NLP), and Generative AI - their capabilities, limitations, and ethical ...

U.S. Navy

Linguist

Parkland, FL

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

U.S. Navy

Linguist

Palm Springs, FL

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

U.S. Navy

Linguist

Green Acres, FL

... advanced artificial intelligence and machine learning systems. • Perform temporary duty aboard Navy surface ships and submarines, based on assignment requirements. What to Expect CTIs have an ...

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Artificial Intelligence Machine Learning information

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$13

$25

$46

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

As of Sep 9, 2026, the average hourly pay for artificial intelligence machine learning in Boca Raton, FL is $25.00, according to ZipRecruiter salary data. Most workers in this role earn between $20.29 and $26.44 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 Boca Raton, FL look for?

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

What cities near Boca Raton, FL are hiring for Artificial Intelligence Machine Learning jobs?

Cities near Boca Raton, 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 Boca Raton, FL as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $52,007 per year, or $25 per hour.

Campus Undergraduate Full-Time Engineer - 2027 AI Engineer I, Enterprise Technology Services- Sunris

Sunrise, FL • On-site

American Express
See more jobs at American Expressexternal

$78K - $124K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.

American Express rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

26th of 154 rated financial services

Job description


At American Express, we empower technologists to learn, innovate, and make an impact from day one. As an AI Engineer I in Enterprise Technology Services, you'll join a full-time graduate program and contribute to technology work that helps teams explore, build, test, and responsibly scale AI-enabled solutions.
In this role, you may support work across machine learning, generative AI, intelligent automation, data pipelines, retrieval patterns, model evaluation, LLM integrations, AI agents, agentic workflows, and AI-enabled software features. You'll collaborate with engineering, product, data, security, risk, and business partners to help deliver enterprise AI solutions responsibly, reliably, and securely.
Responsibilities
Responsibilities & What Type of Work to Expect
  • Support the development, testing, and integration of AI / ML models, LLM integrations, intelligent services, or data retrieval pipelines under guidance.
  • Assist with data collection, preprocessing, transformation, and validation to support model training, testing, evaluation, and implementation.
  • Contribute to debugging and improving AI enabled solutions to strengthen performance, reliability, explainability, maintainability, and quality.
  • Support AI capabilities such as model training workflows, inference endpoints, prompt-based interactions, evaluation routines, retrieval patterns, AI agents, or agentic workflows.
  • Collaborate with engineering, product, data, risk, security, and business partners to implement AI-driven solutions aligned to business requirements.
  • Document model parameters, prompts, assumptions, data pipelines, integrations, and technical decisions to support reproducibility and knowledge sharing.
  • Participate in Agile development practices, including sprint planning, stand-ups, demos, retrospectives, code reviews, and team ceremonies.
  • Assist in ensuring AI systems and AI-enabled features align with enterprise expectations for reliability, safety, governance, security, compliance, and appropriate escalation.

Qualifications
Minimum Qualifications
  • Must have earned a Bachelor's degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Computer Engineering, Software Engineering, or another technical field before the end of June 2027.
  • Knowledge of Python and foundational data processing technologies.
  • Foundational understanding of computer science concepts, including data structures, algorithms, object-oriented programming, debugging, testing, and problem solving.
  • Foundational understanding of machine learning concepts such as supervised learning, unsupervised learning, model training, evaluation, feature engineering, and experimentation.
  • Introductory understanding of modern AI systems, including LLM APIs, prompt-based interactions, retrieval patterns, AI powered tools, or generative AI applications.
  • Ability to support AI/ML development, testing, documentation, integration, or data pipeline activities under guidance.
  • Awareness of responsible AI expectations, including reliability, safety, governance, security, privacy, compliance, and appropriate escalation when work is unclear or outside standard guidance.
  • Strong communication, collaboration, documentation, and learning agility with the ability to work effectively across technical and non-technical teams.

Preferred Qualifications
  • Experience through academic coursework, research, projects, open-source contributions, internships, hackathons, or extracurricular activities using Python, R, Java, JavaScript, or similar technologies.
  • Interest in machine learning, generative AI, natural language processing, intelligent automation, data engineering, agentic AI, or AI-enabled software development.
  • Familiarity with NLP techniques and model concepts such as fuzzy matching, embeddings, BERT, transformers, LLMs, or other modern language models.
  • Exposure to LLM APIs or similar AI models, including prompt engineering, prompt evaluation, tools, function calling, retrieval patterns, or agent workflow concepts.
  • Experience or coursework involving machine learning algorithms and applying them to practical or real-world problems.
  • Familiarity with APIs, data pipelines, ETL processes, cloud environments, containerized development, model deployment patterns, or monitoring.
  • Awareness of CI/CD, version control, testing, code reviews, Agile development, and collaborative software engineering workflows.
  • Exposure to version control systems such as Git and collaborative software development workflows.
  • Curiosity for AI powered developer tools, responsible AI practices, governance, security, model documentation, and enterprise-scale delivery.

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
About Us
At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.
As part of Team Amex, you'll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.
About the Team
We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
  • Competitive base salaries
  • Bonus incentives
  • 6% Company Match on retirement savings plan
  • Free financial coaching and financial well-being support
  • Comprehensive medical, dental, vision, life insurance, and disability benefits
  • Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
  • 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
  • Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
  • Free and confidential counseling support through our Healthy Minds program
  • Career development and training opportunities

For a full list of Team Amex benefits, visit our Colleague Benefits Site.
American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
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The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.

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