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

The ideal candidate is someone who builds and supports the platform that enables machine learning ... managed services. Our staffing solutions provide specialized talent to support complex project and ...

Experiencedeploying production-ready machine learning models * Experience withModel explainability (SHAP, LIME)or similar * Experience with cloud cost management and practices (e.g., Azure Cost ...

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Machine Learning Manager information

See Orlando, FL salary details

$47.6K

$76.3K

$110.2K

How much do machine learning manager jobs pay per year?

As of Jul 16, 2026, the average yearly pay for machine learning manager in Orlando, FL is $76,276.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $86,400.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

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

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Orlando, FL? The most popular types of Machine Learning jobs in Orlando, FL are:
What are popular job titles related to Machine Learning Manager jobs in Orlando, FL? For Machine Learning Manager jobs in Orlando, FL, the most frequently searched job titles are:

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Job description

Job Description: Machine Learning Eng./Data LeadLocation: Orlando, FL, 32801Job Summary:

We are seeking a highly skilled Machine Learning Engineer/Data Lead to join our team. The ideal candidate will have experience in developing and implementing machine learning models and algorithms, as well as experience in data management and analysis. The Machine Learning Engineer/Data Lead will be responsible for leading the development and implementation of machine learning solutions, as well as managing and analyzing large datasets.

Responsibilities:
  • Develop and implement machine learning models and algorithms
  • Manage and analyze large datasets
  • Lead the development and implementation of machine learning solutions
  • Collaborate with cross-functional teams to identify and solve complex business problems
  • Stay up-to-date with the latest developments in machine learning and data analysis
Requirements:
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related field
  • 5+ years of experience in machine learning and data analysis
  • Strong programming skills in Python, R, or other relevant languages
  • Experience with machine learning frameworks such as TensorFlow, Keras, or PyTorch
  • Experience with data management and analysis tools such as SQL, Hadoop, or Spark
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration skills
Benefits:
  • Health, dental, and vision insurance
  • 401k
  • Flexible work environment - you manage your workday.