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Machine Learning Engineer Jobs in Orlando, FL (NOW HIRING)

Capco

AI DevOps Engineer (AWS)

Orlando, FL

$49.25 - $67.50/hr

Design, build, and maintain scalable AWS cloud infrastructure supporting AI, Machine Learning, and ... Engineer - Professional, AWS Solutions Architect, or Azure/Google Cloud certifications. Why Join ...

Capco

AI DevOps Engineer (AWS)

Orlando, FL

$49.25 - $67.50/hr

Design, build, and maintain scalable AWS cloud infrastructure supporting AI, Machine Learning, and ... Engineer - Professional, AWS Solutions Architect, or Azure/Google Cloud certifications. Why Join ...

Pwc

ERP AI Engineer - Senior Associate

Orlando, FL

$77K - $202K/yr

Responsibilities - Design and implement advanced AI and machine learning solutions - Analyze ... Engineering, Mathematics, Statistics, or a related quantitative field - At least 3 years of ...

(unknown company)

Data Scientist

Orlando, FL · On-site +1

Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming ...

(unknown company)

Data Scientist

Orlando, FL · On-site

Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming ...

Cliftonlarsonallen

Lead ML Ops Engineer

Orlando, FL

$95K - $126K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals. How ...

Pwc

US Tech - AI Engineering Manager

Orlando, FL

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

PROFESSIONAL STAFFING SERVICES GROUP INC

Be Seen First

Applied Data Scientist NEW 7-15-2026

Orlando, FL · Remote

$140K - $160K/yr

Strong Python programming skills with hands-on experience building, training, deploying, and monitoring machine learning models. * Solid experience with SQL (2+ years) for database querying, data ...

PROFESSIONAL STAFFING SERVICES GROUP INC

Be Seen First

Applied Data Scientist NEW 7-15-2026

Orlando, FL · Remote

$140K - $160K/yr

Strong Python programming skills with hands-on experience building, training, deploying, and monitoring machine learning models. * Solid experience with SQL (2+ years) for database querying, data ...

CAE

Software Engineer-EN

Orlando, FL · On-site

They are seeking a Software Engineer to develop and deploy advanced cloud-based software products ... Preferred : • Machine Learning and Data Analytics; Virtual Reality; Cloud technologies; 3D ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Orlando, FL

Machine Learning Engineer information

See Orlando, FL salary details

$29.4K

$120.1K

$180.5K

How much do machine learning engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for machine learning engineer in Orlando, FL is $120,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $144,600.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially in tech giants or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances, as they develop and refine algorithms, models, and systems. Roles that require complex problem-solving, creativity, and domain expertise—such as healthcare professionals, data scientists, software developers, cybersecurity specialists, and AI ethics officers—are also expected to persist due to their reliance on human judgment and specialized knowledge. These jobs often involve skills that are difficult for AI to fully replicate or replace.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What engineers make $300,000 a year?

Senior machine learning engineers and data scientists with extensive experience, advanced skills in deep learning, and proficiency with tools like TensorFlow or PyTorch can earn $300,000 or more annually, especially in high-cost-of-living areas or top tech companies. Compensation often includes base salary, bonuses, and stock options, reflecting their expertise and impact on business outcomes.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Orlando, FL? The most popular types of Machine Learning Engineer jobs in Orlando, FL are:
What are popular job titles related to Machine Learning Engineer jobs in Orlando, FL? For Machine Learning Engineer jobs in Orlando, FL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Orlando, FL look for? The top searched job categories for Machine Learning Engineer jobs in Orlando, FL are:
What cities near Orlando, FL are hiring for Machine Learning Engineer jobs? Cities near Orlando, FL with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Orlando, FL as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $120,123 per year, or $57.8 per hour.
Faculty - Computer Science Masters Programs (Course Director)

Faculty - Computer Science Masters Programs (Course Director)

Full Sail University

Winter Park, FL • On-site

Full-time

Posted 4 days ago

Full Sail University rating

6.5

Company rating: 6.5 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

508th of 612 rated colleges and universities

Job description

If you're looking for the chance to learn, grow, and make a contribution to the community, look at employment opportunities with Full Sail University. You'll find your choice of career opportunities, great benefits, an environment that welcomes and values creativity, and a work experience that is both challenging and rewarding!
Full Sail University is seeking faculty with expertise in Artificial Intelligence, Machine Learning, Human-Computer Interaction (HCI), OR Data Science. Topics covered will include Fuzzy Logic, Expert Systems, Neural Networks, Cognitive Sciences, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Clustering, Regression, and Classification. Additional focus will be placed on HCI principles such as user-centered design, usability testing, interaction design, and accessibility, as well as Data Science topics including data preprocessing, statistical analysis, data visualization, feature engineering, and big data tools. Students will apply these techniques to create knowledge-based AI agents, machine learning solutions, interactive intelligent systems, and data-driven applications. Courses will emphasize ethical considerations in AI and data handling, integration of AI into user interfaces, and communication of analytical insights to non-technical audiences. Course Directors may be required to teach both on-campus and online. All positions are full time, on-campus in Winter Park, FL.
***Positions are located on and worked from campus in Winter Park, Florida.***
Essential Duties and Responsibilities:
  • Create an environment of learning through effective teaching skills, maintain student-centered focus, and update curriculum to keep current and relevant to industry standards.
  • Utilize a variety of teaching strategies and encourage active learning.
  • Create learning activities, including assignments, tests, quizzes and labs, and assess student outcomes in a timely manner through effective assessment and constructive feedback to students to support the learning process.
  • Perform lectures for campus courses, and hold scheduled virtual course meetings for online courses. Teaching will be conducted through on-campus and online delivery.
  • Interact positively with diverse student populations; provide all students with equal opportunities for learning.
  • Demonstrate a commitment to the industry, maintain knowledge and skill relevancy through continuing education as defined in the faculty development plan.

Other Responsibilities:
  • Adheres to the policies and procedures of Full Sail University
  • Maintains strict confidentiality of student and company information
  • Demonstrates a strong commitment to the mission and values of the organization
  • Adheres to company attendance standards
  • Performs other duties as assigned

Supervisory Responsibilities: Oversee the integrity of curriculum and degree learning outcomes.
Competencies:
  • Strong organizational, analytical, and interpersonal skills
  • Exceptional written and verbal communication skills, including proofreading and editing for grammar and punctuation
  • Ability to provide detailed formative and summative feedback on student projects
  • Ability to multi-task while working independently and collaboratively with other teachers and university staff
  • Ability to interact professionally and constructively with students and staff at all levels in an immersive, fast paced environment

Education and/or Experience:
The ideal candidate must have a minimum of four (4) years related and verifiable work experience and is required to hold a terminal degree in Computer Science, Computer Engineering, Electrical Engineering or related discipline from an accredited college or university.
Certificates, Licenses, Registrations:
  • none

Skills:
  • Proficiency in programming languages such as C++, Python, C#, JAVA
  • Proficiency using software programs such as Visual Studio, MS Word, Excel, Keynote/PowerPoint and Outlook.
  • Experience as a software developer, software engineer, programmer, etc.
  • Communication, teamwork, and flexibility/adaptability
  • Empathy toward student issues/concerns
  • Experience in designing and presenting live and virtual training sessions

Environmental Factors/Physical Demands:
Work is performed in an office and classroom environment. While performing the duties of this job, the employee is regularly required to have the ability to maintain active student and employee communication; access, input and retrieve information from the computer system. May be subject to; bending, reaching, kneeling, stooping and lifting up to thirty (30) pounds.
Full Sail is an Equal Opportunity Employer.

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