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Machine Learning Specialist Jobs in Florida (NOW HIRING)

Job Summary The Specialist of Asset Management is responsible for providing analytical and ... Comfort working with AI and machine learning outputs in a real estate or analytical context ...

New

This platform leverages Machine Learning, modern cloud and containerized technologies to ingest ... Security Specialist III WHY 540? 540 is a forward-thinking company that the government turns to in ...

Data Scientist - FCRM

Fort Lauderdale, FL ยท On-site

$96K - $155K/yr

Prior experience and expertise with machine learning, Microsoft Azure, Python, SQL, and Databricks ... Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge ...

Data Scientist - FCRM

Jacksonville, FL ยท On-site

$96K - $155K/yr

Prior experience and expertise with machine learning, Microsoft Azure, Python, SQL, and Databricks ... Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge ...

Showing results 41-60

Machine Learning Specialist information

See Florida salary details

$15.3K

$40.3K

$72.5K

How much do machine learning specialist jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning specialist in Florida is $40,298.00, according to ZipRecruiter salary data. Most workers in this role earn between $29,100.00 and $45,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Specialist, you need a strong background in mathematics, programming (Python, R), and data analysis, typically supported by a relevant degree in computer science or a related field. Experience with machine learning frameworks such as TensorFlow, PyTorch, and knowledge of cloud platforms like AWS or Azure is highly valued, and certifications in these can enhance your qualifications. Strong problem-solving skills, curiosity, and the ability to communicate complex concepts clearly make someone stand out in this field. These skills and qualifications are crucial for effectively developing, deploying, and explaining machine learning solutions to diverse stakeholders.

What is a machine learning specialist?

A Machine Learning Specialist is a professional who designs, develops, and implements machine learning models and algorithms to solve complex problems. They work with large datasets, use statistical and computational techniques, and optimize models for accuracy and efficiency. Their role often involves data preprocessing, feature engineering, model selection, and deployment. They collaborate with data scientists, software engineers, and domain experts to integrate machine learning solutions into business applications.

Is machine learning a high paying job?

Machine learning specialists are generally among the higher-paid roles in the tech industry due to their specialized skills in algorithms, data analysis, and programming languages like Python and TensorFlow. Salaries vary based on experience, location, and industry, but the role typically offers competitive compensation compared to many other tech positions.

What are some common challenges a machine learning specialist might face?

Machine Learning Specialists often encounter challenges such as ensuring data quality, selecting appropriate algorithms, and scaling solutions for real-world application. Navigating the complexities of messy or incomplete datasets and tuning models for optimal performance can be demanding. Balancing innovation with practical deployment constraints, such as computational resources and integration with existing systems, is also common. To address these challenges, collaboration with data engineers, domain experts, and product teams is essential, and ongoing professional development helps specialists stay ahead in this rapidly evolving field.

Infographic showing various Machine Learning Specialist job openings in Florida as of August 2026, with employment types broken down into 78% Full Time, and 22% Nights. Highlights an 100% In-person job distribution, with an average salary of $40,298 per year, or $19.4 per hour.

Specialist, Asset Management

Invitationhomes

Tampa, FL โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Job Summary
The Specialist of Asset Management is responsible for providing analytical and operational support on company-wide Asset Management programs and projects designed to strategically reinvest capital within the owned single-family rental (SFR) portfolio across 16 markets. Responsibilities include driving field-level capital program execution, leveraging advanced analytics and AI-assisted tools to optimize asset level NOI performance, and partnering closely with corporate and field teams as well as external investors and partners. The role requires demonstrated expertise in the residential single-family rental space, including familiarity with SFR market dynamics, asset lifecycle management, and data-driven disposition and reinvestment decision-making. This position will report to the Senior Manager, Asset Management.
Essential Job Duties and Responsibilities
Capital Reinvestment & Field Execution
  • Collaborate with operations teams and support other cross-functional business verticals to facilitate, execute, and expand capital reinvestment programs across all markets
  • Track and report on capital deployment and program performance at both the individual asset and market level, partnering with field teams to ensure approved projects are executed on schedule and within budget
  • Review and approve project proposals in compliance with established processes, workflows, and authority levels
  • Support the development of market-level business plans, including renovation program ROI analysis, hold/sell recommendations, and market-specific reinvestment strategies
Analytics, Reporting & Decision-Making
  • Develop and administer dashboards, analyses, and reports across all reporting cadences (ad-hoc as needed) using Tableau, Power BI, and other intelligence platforms
  • Leverage internal dashboards, predictive analytics tools, and automated valuation models (AVMs) to identify portfolio performance outliers, forecast NOI and rent growth, and support disposition or reinvestment timing decisions
  • Analyze data and identify trends and key findings in quantitative and qualitative data sets from the company's internal Enterprise Data Warehouse, Yardi, Salesforce, Tableau, and other systems
  • Support automation of reporting across internal software platforms and maintain financial and operational reporting dashboards and data visualizations
  • Identify opportunities to design new and/or refine existing analyses and processes to improve the Asset Management team's productivity, accuracy, and efficiency over time
  • Utilize generative AI tools to accelerate data synthesis, reporting, and research tasks where appropriate
Financial Analysis & Portfolio Management
  • Review, analyze, and recommend properties for disposition using hold/sell analysis frameworks including IRR, cap rate benchmarking, and market comparable methodologies; present recommendations to investment leadership for portfolio rebalancing decisions
  • Support and enhance financial modeling and forecasting processes, including annual budget preparation in coordination with corporate departments
  • Provide financial guidance to investment management leadership through preparation, review, and analysis of key financial metrics including NOI per asset, occupancy rates, rent growth, and return on capital
  • Support ad-hoc analyses and projects as directed
Education and/or Experience
  • Bachelor's degree in finance, real estate, business, AI, economics, or a related field required; advanced degree (MS, MBA) is a plus
  • 1-3 years of experience in financial/data analysis, investment analysis, institutional real estate, or SFR/BTR residential acquisitions or asset management is preferred; exceptional recent college graduates will be considered
  • Prior experience in single-family rental, build-to-rent, or institutional residential real estate strongly preferred; familiarity with SFR market dynamics, per-home economics, and asset lifecycle management is a meaningful differentiator
  • Financial modeling, business analytics, and/or other real estate experience required
  • Working proficiency in Python, R, or SQL expected; advanced data science methods (regression, clustering, predictive modeling) are a strong plus
  • Experience with data visualization in Tableau or Power BI preferred
  • Comfort working with AI and machine learning outputs in a real estate or analytical context; experience with generative AI tools for reporting or data synthesis is a plus
Required Licenses or Certifications
  • Current driver's license and automobile insurance
Skills / Specialized Knowledge
Technical & Analytical
  • Proficiency with Microsoft Office applications (Excel, PowerPoint, Word, Outlook) including advanced Excel skills (pivot tables, complex formulas, financial modeling) required; VBA a plus
  • Working proficiency in Python or SQL for data querying, manipulation, and analysis; ability to build or maintain analytical models in a scripting environment
  • Experience with BI and visualization platforms (Tableau, Power BI, or equivalent); ability to build and maintain executive-ready dashboards
  • Comfort interpreting automated valuation models, predictive maintenance schedules, or rent growth forecasts
  • Familiarity with real estate and SFR-specific data platforms (Yardi, Salesforce, CoStar, JBREC, or similar) and cloud data environments (Snowflake, Databricks, or equivalent) preferred
Real Estate & Business Acumen
  • Understanding of SFR and institutional residential real estate fundamentals: cap rates, NOI, IRR, hold/sell analysis, disposition strategy, and asset lifecycle management
  • Comfort with basic finance and accounting theory with the ability to read and comprehend financial statements
  • Ability to translate complex data and financial analyses into clear, actionable recommendations for leadership
Professional & Interpersonal
  • Self-starter with a strong sense of ownership and accountability; comfortable operating autonomously in a fast-paced, dynamic environment
  • Well-developed written and verbal communication skills with excellent interpersonal and organizational skills
  • Ability to multi-task, maintain flexibility, set and meet goals, and consistently meet deadlines
  • Ability to maintain confidentiality of sensitive business information
Other Requirements
  • Some travel may be required to support field market visits and program reviews
  • Ability to be at work on a regular and consistent basis; overtime may be required
  • Authorization to work in the United States
Physical and Mental Demands
This position will spend long hours sitting and using office equipment and computers. The position may also entail light lifting of supplies and materials occasionally, up to and including 20 pounds in addition to reaching, stooping, standing, and walking. This position requires the ability to talk, hear, compare, compute, compile, copy, analyze, coordinate, synthesize, negotiate, and communicate. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential job functions.
Work Environment
Standard office working environment that may be busy and noisy at times. Remote work option may be available.Salary RangeThe salary range for this position is: $66,525.00 - $115,310.00, plus individuals may be eligible for an annual discretionary bonus. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications, location, and applicable employment laws.Compensation and Benefits

To attract and retain top talent, we're pleased to offer competitive compensation and benefits, including:

  • Annual bonus program

  • Health, dental, vision, and life insurance

  • Long-term and short-term disability insurance

  • Generous paid time off plans include vacation accrual, sick time, standard holidays and floating holidays

  • 401(k) with company matching contributions

  • Awesome work environment with casual dress

  • Team events and gatherings (Pre- and Post-Covid)

Invitation Homes is an equal opportunity employer committed to fostering a diverse, inclusive and innovative environment with the best associates. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran status or any other factor protected by applicable federal, state or local law. If you have a disability or special need that requires accommodation, please contact us at humanresources@invitationhomes.com.

To all recruitment agencies: Invitation Homes does not accept agency resumes. Please do not forward resumes to Invitation Homes employees. Invitation Homes is not responsible for any fees related to unsolicited resumes.

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