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Remote Machine Learning Engineer Jobs in Florida

Senior Azure Data Architect

Rockledge, FL ยท On-site +1

$58.75 - $78.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Analytics, Machine Learning, Databricks, Logic Apps, AI Foundry). * Proficiency in programming ... Hybrid and Remote work opportunities to support work-life balance Salary Range: $135,000.00 - $165 ...

Senior DevOps Engineer (US REMOTE)

Plantation, FL ยท Remote

$140K - $170K/yr

  • Medical

  • Dental

  • Retirement

... s Full-Stack Engineer with expertise in IaC (Terraform), Helm, MySQL, Kubernetes, and CI/CD ... Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ...

Requirements * 5+ years in robotics, reinforcement learning, simulation, or applied machine ... Remote or hybrid, US-based, with periodic time onsite at our robotics facility. * Occasional ...

AI Data Scientist Expert - Remote

Miami, FL ยท Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

AI Data Science Expert - Remote

Miami, FL ยท Remote

$100 - $200/hr

Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ... Science, Machine Learning, Applied AI, Statistics, Quantitative Analytics, or Data Analytics.

Software/Data Engineer

De Leon Springs, FL ยท On-site +1

$110K - $145K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Remote (U.S.) with occasional travel. Responsibilities Essential Job Functions: * Design, develop ... Experience implementing automation, AI-assisted processes, or machine learning solutions.

Senior AI & Data Solutions Engineer

FL ยท On-site +1

$96K - $192K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design, develop, and deploy scalable AI, machine learning, and advanced analytics solutions to ... Provide opportunities to work with modern AI, machine learning, cloud, and data engineering ...

Full Stack Engineer

Saint Petersburg, FL ยท On-site +1

$75K - $100K/yr

  • PTO

... Combining machine learning and AI with research frameworks and best practices to create an ... This is a fully remote position, however, candidates must either be based out of Europe (our ...

Full Stack Engineer

Saint Petersburg, FL ยท On-site +1

$75K - $100K/yr

  • PTO

... Combining machine learning and AI with research frameworks and best practices to create an ... This is a fully remote position, however, candidates must either be based out of Europe (our ...

... remote sensing platforms, sensor technologies, and modern machine learning workflows. DETAILED ... Programming and Scientific Computing - High proficiency in Python and/or R for data analysis, model ...

Data Scientist

Orlando, FL ยท 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 ...

Data Engineer

Fort Walton Beach, FL ยท Remote

$134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... machine learning * Develop and deploy AI/ML models using popular frameworks such as TensorFlow ... Experience with agile development methodologies such as Scrum or Kanban #LI-DM2 #LI-Remote Pay ...

You will work on projects ranging from greenfield 1 person MVPs to teams of 4-5 engineers following ... Blockchain, Machine Learning, Gaming experience

Showing results 41-60

Remote Machine Learning Engineer information

See Florida salary details

$23.5K

$96.2K

$144.6K

How much do remote machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote machine learning engineer in Florida is $96,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,800.00 and $115,800.00 per year, depending on experience, location, and employer.

What is a remote machine learning engineer?

A Remote Machine Learning Engineer designs, develops, and deploys machine learning models while working from a remote location. They preprocess data, train and optimize models, and integrate them into production systems. Their role often involves collaborating with data scientists, software engineers, and stakeholders to solve complex problems using AI. Strong programming skills in Python, experience with ML frameworks like TensorFlow or PyTorch, and cloud computing knowledge are essential. Remote ML engineers must also communicate effectively and manage their time efficiently to work asynchronously with teams.

What are the key skills and qualifications needed to thrive as a remote machine learning engineer?

To thrive as a Remote Machine Learning Engineer, you need a strong background in computer science, mathematics, and experience with machine learning algorithms, typically supported by a relevant degree and prior project work. Proficiency with programming languages like Python, machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms is crucial, and certifications like AWS Certified Machine Learning can enhance your profile. Excellent communication, self-motivation, and time-management skills are also essential for collaborating across remote teams and meeting project goals. These combined technical and soft skills are vital for developing effective machine learning solutions while ensuring productivity and collaboration in a virtual work environment.

What are some typical challenges faced by remote machine learning engineers, and how are they addressed?

Remote Machine Learning Engineers often face challenges such as coordinating across different time zones, ensuring smooth communication with team members, and accessing large datasets or secure environments remotely. Organizations commonly address these by using robust collaboration tools (like Slack, GitHub, and Jira), establishing clear documentation, and setting regular virtual meetings to maintain alignment. Many companies also provide secure remote environments or VPN access for handling sensitive data and code. Proactive communication and organized workflows help mitigate these challenges, enabling engineers to remain productive and connected to their teams.

Are remote machine learning engineers still in demand?

Remote machine learning engineers are currently in high demand due to the growth of AI and data-driven technologies across industries. Skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, or PyTorch are highly sought after, and many companies continue to hire for remote roles in this field.

Can remote machine learning engineers work remotely?

Yes, remote machine learning engineers can work remotely, as many companies offer flexible work arrangements for this role. The position typically involves tasks such as data analysis, model development, and collaboration through online tools, making remote work feasible with strong communication skills and proficiency in programming languages like Python or frameworks like TensorFlow. However, some roles may require occasional on-site meetings or access to specialized hardware.

What are the most commonly searched types of Machine Learning Engineer jobs in Florida?

The most popular types of Machine Learning Engineer jobs in Florida are:

What cities in Florida are hiring for Remote Machine Learning Engineer jobs?

Cities in Florida with the most Remote Machine Learning Engineer job openings:

Infographic showing various Remote Machine Learning Engineer job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $96,228 per year, or $46.3 per hour.

Senior Azure Data Architect

IBR (Imagine Believe Realize)

Rockledge, FL โ€ข On-site, Remote

$58.75 - $78.50/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

At Imagine Believe Realize, LLC (IBR) we are driven by innovation, transformation and a relentless pursuit of excellence. As an industry leader delivering impactful results, we thrive on solving complex technical challenges and developing cutting-edge solutions that empower our customers and advance critical missions.
IBR is a fast-growing company fueled by passion, curiosity, and innovative thinking - where every team member has the opportunity to continuously learn, unlock their full potential, and redefine what is possible in engineering and technology. If you are inspired by innovation, eager to make a difference, and ready to bring your creativity and expertise to a mission-focused team, we invite you to join us and together, we will shape the future. Let's Make It Real!
The Senior Azure Data Architect must be able to meet the key criteria below:
Location: 100% remote. This is a United States based position, and candidates must reside in the continental United States to be eligible for employment.
Years' Experience: 10+ years professional experience
Education: Bachelor's degree in Computer Science, Data Science, Statistics, or related field
Security Clearance: Active Secret security clearance required
Employment Type: Full Time
Work Schedules: IBR promotes work-life balance by offering flexible scheduling options. Standard business hours are aligned to the Eastern Time Zone.
Key Skills:
  • Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
  • Must have strong expertise in the Azure Cloud environment
  • Strong proficiency in Python or similar language and SQL for data preparation, analysis, and modeling
  • Must have an active CompTIA Security+ certification

Position Overview
IBR is seeking a highly skilled and experienced Data Architect with expertise in Azure to spearhead the development and implementation of data-driven solutions for a project supporting the U.S. Marine Corps (USMC). The Data Architect will be responsible for identifying opportunities to leverage data to improve Human Resource (HR) processes, developing predictive models, and creating actionable insights for USMC leadership. The role will involve providing assistance to a team of data scientists, collaborating with stakeholders, and ensuring that all data science activities align with USMC strategic goals.
Responsibilities
  • Data Science Strategy: Develop and implement a data science strategy for the project, aligning with USMC's strategic goals and objectives.
  • Problem Identification: Work with USMC stakeholders to identify opportunities to leverage data to improve HR processes, such as recruitment, retention, training, and performance management.
  • Data Exploration & Analysis: Lead the exploration and analysis of large datasets to identify trends, patterns, and insights to understand data quality, gaps, and potential enhancements.
  • Model Development: Design, develop, and validate predictive models using machine learning algorithms and statistical techniques.
  • Model Deployment: Deploy and maintain machine learning models in a production environment, ensuring scalability and reliability.
  • Data Visualization: Create compelling data visualizations using tools such as Power BI to communicate insights to stakeholders.
  • Team Leadership: Lead and mentor a team of data scientists, providing technical guidance and support.
  • Collaboration: Collaborate with other teams, including software developers, system architects, and business analysts, and to integrate data science solutions.
  • Data Quality: Ensure data quality and accuracy by implementing data validation and cleansing processes.
  • Compliance: Ensure that all data science activities comply with relevant USMC and DoD regulations and security policies.
  • Research & Development: Stay up-to-date with the latest advances in data science and machine learning and explore new technologies and techniques to improve HR processes.
  • Documentation: Create and maintain detailed documentation of data science processes, models, and results.

Qualifications
  • 10+ years of experience in data science, machine learning, and statistical modeling.
  • Bachelor's degree in data science, Statistics, Mathematics, Computer Science, or a related quantitative field experience
  • Active Secret security clearance
  • Active CompTIA Security+ certification
  • Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
  • Experience with cloud computing platforms (e.g., Azure, Data Lake, Synapse Analytics, Machine Learning, Databricks, Logic Apps, AI Foundry).
  • Proficiency in programming languages such as Python, R, SQL, PySpark
  • Strong proficiency in Python or similar language and SQL for data preparation, analysis, and modeling
  • Experience with data visualization tools (e.g., Power BI).
  • Hands on experience with Microsoft Dataverse for data storage and management.
  • Strong experience with data extraction, cleaning, and transformation (ETL) processes.
  • Experience in data governance, metadata management, and data cataloging.
  • Experience with cloud computing platforms (e.g., Azure, Data Lake, Synapse Analytics, Machine Learning, Databricks, Logic Apps, AI Foundry).
  • Strong understanding of database technologies and SQL.
  • Experience with Microsoft Power Platform (Power BI, Power Automate) is a plus.
  • Excellent communication, presentation, and leadership skills.
  • Excellent communication, presentation, and leadership skills.

Application Deadline:
Applications will be reviewed as received and accepted on a continuous basis until the position is filled. Early application is strongly encouraged.
Physical Demands and Work Environment
This role primarily involves sedentary work, in a workplace and/or home office environment. There are some physical demands associated with the role, including:
  • Extended periods of sitting and working at a computer workstation.
  • Occasional lifting and carrying of equipment or materials weighing up to 20 pounds.
  • Occasional travel to client sites or meetings may be required.
  • Work may need to be performed in a fast-paced environment requiring quick decision making.
  • Flexible work arrangements may be available based on business needs.
  • Will be exposed to a wide variety of clients in differing functions, personalities, and abilities.

Benefits and Compensation Information
At Imagine Believe Realize, LLC (IBR), we recognize that our employees are our greatest asset. We are committed to attracting and retaining exceptional talent by offering competitive compensation, comprehensive benefits, and programs that support employees' health, financial well-being, professional growth, and work-life balance. Eligible employees enjoy a robust total rewards package that includes:
  • Nationwide medical, dental, and vision insurance
  • 3 weeks of Paid Time Off and 11 Paid Federal Holidays
  • 401k matching
  • Life Insurance, Short-Term Disability, and Long-Term Disability at no cost to our employees
  • Supplemental insurance options
  • Flexible spending accounts and Dependent Care spending accounts
  • Wellness incentives
  • Reimbursement for professional development and certifications
  • Access to training assistance opportunities to support career growth and progression
  • Hybrid and Remote work opportunities to support work-life balance

Salary Range: $135,000.00 - $165,00.00 USD annually.
This salary range represents the anticipated range for this position at the time of posting. Actual compensation may vary based on qualifications, experience, work location, internal equity, and business needs.
Apply Today
If you are ready to grow your career and make an impact, then we encourage you to apply today by submitting an application. We welcome you to explore additional job opportunities listed on our careers page https://teamibr.applicantstack.com/x/openings.
Applicants who require alternative assistance with the application or interview process may request reasonable accommodations by contacting us using the contact information provided below:
info@teamibr.com
407.459.1830
Compliance and Regulatory Statements
Equal Employment Opportunity (EEO) Statement
Imagine Believe Realize, LLC (IBR) is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics such as race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, creed, age, national origin, disability (including pregnancy, childbirth, or related medical conditions), marital status, veteran status, or any other applicable legally protected class in accordance with federal, state, and local laws.
Employment Eligibility
Employment with IBR is contingent upon successful completion of all pre-employment requirements, including verification of identity and authorization to work in the United States. The Company participates in the federal E-Verify program and will verify the identity and employment eligibility of all newly hired employees in accordance with applicable federal law.
Please Note: Certain positions may require U.S. citizenship, the ability to obtain and maintain a U.S. Government security clearance, or other government contract eligibility requirements. Such requirements will be identified in the individual job posting where applicable.
Individuals with Disabilities
Imagine Believe Realize, LLC (IBR) is committed to providing equal employment opportunities to qualified individuals with disabilities and to making reasonable accommodations to enable them to apply for positions and perform the essential functions of their jobs. If you require a reasonable accommodation during the application or interview process, please contact Human Resources at info@teamibr.com.
Veterans
Imagine Believe Realize, LLC (IBR) is committed to providing equal employment opportunities to qualified protected veterans and to making reasonable accommodations to enable them to apply for positions and perform the essential functions of their jobs in accordance with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA). If you require a reasonable accommodation during the application or interview process, please contact Human Resources at info@teamibr.com
Pay Transparency
The anticipated compensation range for this position will be provided in accordance with applicable federal, state, and local pay transparency laws. Actual compensation offered will be determined based on factors such as the candidate's skills, qualifications, experience, education, geographic location, internal equity, and business needs.
In addition to base pay, eligible employees may be offered a comprehensive benefits package, paid time off, retirement benefits, bonus opportunities, and other programs, where applicable. Eligibility for benefits and incentive programs is governed by the terms of the applicable plans and company policies.