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Director Machine Learning Jobs in Florida (NOW HIRING)

Orlando, FL | Onsite Job Type: Full Time, Direct-Hire Salary: $70,000-$85,000 base (+ Bonus ... Design, build, validate, and deploy machine learning models and advanced analytics solutions in ...

Orlando, FL (Onsite) Job Type: Full Time, Direct-Hire/Permanent Salary: $70,000 - 85,000 base ... Design, build, validate, and deploy machine learning models and advanced analytics solutions in ...

Orlando, FL | Onsite Job Type: Full Time, Direct-Hire Salary: $70,000-$85,000 base (+ Bonus ... Design, build, validate, and deploy machine learning models and advanced analytics solutions in ...

Orlando, FL (Onsite) Job Type: Full Time, Direct-Hire/Permanent Salary: $70,000 - 85,000 base ... Design, build, validate, and deploy machine learning models and advanced analytics solutions in ...

Orlando, FL | Onsite Job Type: Full Time, Direct-Hire Salary: $70,000-$85,000 base (+ Bonus ... Design, build, validate, and deploy machine learning models and advanced analytics solutions in ...

Orlando, FL | Onsite Job Type: Full Time, Direct-Hire Salary: $70,000-$85,000 base (+ Bonus ... Design, build, validate, and deploy machine learning models and advanced analytics solutions in ...

Orlando, FL (Onsite) Job Type: Full Time, Direct-Hire/Permanent Salary: $70,000 - 85,000 base ... Design, build, validate, and deploy machine learning models and advanced analytics solutions in ...

Orlando, FL | Onsite Job Type: Full Time, Direct-Hire Salary: $70,000-$85,000 base (+ Bonus ... Design, build, validate, and deploy machine learning models and advanced analytics solutions in ...

Orlando, FL | Onsite Job Type: Full Time, Direct-Hire Salary: $70,000-$85,000 base (+ Bonus ... Design, build, validate, and deploy machine learning models and advanced analytics solutions in ...

Orlando, FL | Onsite Job Type: Full Time, Direct-Hire Salary: $70,000-$85,000 base (+ Bonus ... Design, build, validate, and deploy machine learning models and advanced analytics solutions in ...

Orlando, FL (Onsite) Job Type: Full Time, Direct-Hire/Permanent Salary: $70,000 - 85,000 base ... Design, build, validate, and deploy machine learning models and advanced analytics solutions in ...

Orlando, FL (Onsite) Job Type: Full Time, Direct-Hire/Permanent Salary: $70,000 - 85,000 base ... Design, build, validate, and deploy machine learning models and advanced analytics solutions in ...

Orlando, FL | Onsite Job Type: Full Time, Direct-Hire Salary: $70,000-$85,000 base (+ Bonus ... Design, build, validate, and deploy machine learning models and advanced analytics solutions in ...

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Director Machine Learning information

See Florida salary details

$26.9K

$68.7K

$105.4K

How much do director machine learning jobs pay per year?

As of Jun 1, 2026, the average yearly pay for director machine learning in Florida is $68,700.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,400.00 and $79,200.00 per year, depending on experience, location, and employer.

What is a Director Machine Learning job?

A Director of Machine Learning leads teams in developing and deploying machine learning models to solve business challenges. They define the AI strategy, oversee research, and ensure models are scalable and ethical. This role requires expertise in machine learning, data science, and leadership, as well as collaboration with cross-functional teams. Directors also stay updated on industry advancements and drive innovation within their organizations.

What are the key skills and qualifications needed to thrive in the Director Machine Learning position, and why are they important?

To thrive as a Director Machine Learning, you need advanced expertise in machine learning, statistics, data science, and leadership, typically supported by a master's or Ph.D. in a related field and several years of relevant industry experience. Familiarity with tools such as Python, TensorFlow or PyTorch, cloud platforms, and data management systems, as well as certifications like AWS Certified Machine Learning or Google Professional Machine Learning Engineer, are commonly required. Exceptional communication, strategic thinking, and team management skills distinguish top candidates in this role. These capabilities are essential for driving organizational AI initiatives, fostering high-performing teams, and delivering impactful business solutions.

What are the primary responsibilities and challenges faced by a Director of Machine Learning on a daily basis?

A Director of Machine Learning is typically responsible for overseeing the development and deployment of machine learning solutions, mentoring technical teams, setting strategic direction for AI initiatives, and ensuring the alignment of projects with organizational goals. Challenges often include balancing innovative research with business priorities, navigating evolving technology landscapes, and coordinating efforts across data science, engineering, and stakeholder teams. This role requires regular collaboration with product managers, executives, and cross-functional departments to prioritize initiatives and communicate complex technical concepts. Successful directors excel at fostering a culture of continuous learning, optimizing team productivity, and staying ahead in a fast-paced, rapidly changing field.
What are the most commonly searched types of Machine Learning jobs in Florida? The most popular types of Machine Learning jobs in Florida are:
What cities in Florida are hiring for Director Machine Learning jobs? Cities in Florida with the most Director Machine Learning job openings:

$70K - $85K/yr

Full-time

Medical, Retirement, PTO

Posted yesterday


Job description

Job Title: Data Scientist
Location: Orlando, FL | Onsite
Job Type: Full Time, Direct-Hire
Salary: $70,000-$85,000 base (+ Bonus & Equity)
Benefits: Free Healthcare, 401k match, PTO, HSA, FSA, Employee Assistance Program, and more.
Why Join the Company:

  • Competitive compensation package including free healthcare options with bonus potential and equity after 1 year of employment.
  • The organization is shaping the future of financial services with cutting‑edge tech - innovating through advanced technology, proprietary data analytics, and tech‑driven investment strategies
  • They operate like a modern, multi-division fintech powerhouse - leading an entirely new category in longevity‑based investing—truly a unique place to build a career at the forefront of an emerging market

About the Data Scientist Role:

Seeking a Data Scientist to assist with designing, development, and deployment of advanced analytics and machine learning solutions. This role is ideal for someone who thrives in complex data environments, enjoys solving high‑impact business problems, and can translate analytical insights into actionable strategies.

Job Responsibilities of the Data Scientist:

  • Design, build, validate, and deploy machine learning models and advanced analytics solutions in production environments.
  • Analyze large, complex structured and unstructured datasets to uncover trends, patterns, and opportunities.
  • Apply advanced statistical modeling, hypothesis testing, and experimental design methodologies to answer key business questions.
  • Develop and maintain scalable Python (pandas, NumPy, scikit‑learn, etc.) and SQL code to process, analyze, and transform data.
  • Work closely with engineering and product teams to integrate analytics solutions into enterprise systems.
  • Create clear, compelling data visualizations using tools such as Tableau, Power BI, matplotlib, or seaborn.
  • Leverage cloud platforms (AWS, Azure, or GCP) and modern data stack technologies to improve model performance and data workflows.
  • Communicate insights and recommendations to technical and non‑technical stakeholders.

Preferred Experience of the Data Scientist:

  • 1+ years of experience in data science, machine learning, or advanced analytics roles
  • Proficiency in Python (e.g., pandas, scikit-learn, NumPy) and SQL
  • Experience building, validating, and deploying machine learning models
  • Understanding of statistical modeling, experimental design, and hypothesis testing
  • Experience working with large, complex datasets (structured and unstructured)
  • Strong communication skills with the ability to translate complex concepts into business‑friendly insights
  • Collaborative mindset with experience influencing stakeholders across technical and non‑technical teams
  • Curiosity, adaptability, and a passion for continuous learning

Bonus Experience of the Senior Data Scientist:

  • Familiarity with cloud platforms (AWS, GCP, or Azure) and modern data stacks
  • Data visualization skills (e.g., Tableau, Power BI, matplotlib, seaborn)
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