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

Data Scientist

Orlando, FL · On-site

$107K/yr

Proficiency with data mining, statistical analysis, and machine learning platforms (e.g., AzureML). • Programming: Expert-level skills in SQL, Python, and R. • Automation & Apps: Experience with ...

GPU Design Verification Engineer

Orlando, FL

$127K - $155K/yr

Description As a Senior Graphics Core Hardware Verification Engineer, you will be tasked with the ... Familiarity with machine learning and AI processing in GPU architectures. Experience with Formal ...

GPU Design Verification Engineer

Orlando, FL · On-site

$127K - $155K/yr

Description As a Senior Graphics Core Hardware Verification Engineer, you will be tasked with the ... Familiarity with machine learning and AI processing in GPU architectures. Experience with Formal ...

Senior Software Engineer

Orlando, FL · On-site

$114K - $150K/yr

Experience with artificial intelligence, machine learning, neural networks, AI-assisted software ... engineering efforts. * Experience supporting software integration, testing, training ...

Role: Software Engineer Type: Full-Time Location: Orlando, FL - Hybrid Reports to: Software ... Knowledge of artificial intelligence (AI) and machine learning (ML). * Knowledge of event driven ...

Summary CAE USA is seeking a software engineer to build and deploy cutting edge cloud-based ... Machine Learning and Data Analytics; Virtual Reality; Cloud technologies; 3D Modeling * Geospatial ...

Showing results 41-60

Machine Learning Engineer information

See Orlando, FL salary details

$29.4K

$120.2K

$180.6K

How much do machine learning engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for machine learning engineer in Orlando, FL is $120,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,800.00 and $144,700.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

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.

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 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.

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 cities near Orlando, FL are hiring for Machine Learning Engineer jobs? Cities near Orlando, FL with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Orlando, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $120,208 per year, or $57.8 per hour.

Lead Software Engineer

Motion Recruitment

Lake Buena Vista, FL • On-site

Other

Re-posted 7 days ago


Job description

Job Title- Lead Software Engineer
Job Location- Lake Buena Vista FL 32830/ Glendale, CA 91201
Job duration- 6 months
 
This role sits within the Technology & Digital organization for Experiences and collaborates closely with cross-functional teams across the company. The Lead Software Engineer will report to the Sr Manager, Technology.
About the Role & Team
We are seeking a visionary Lead Software Engineer to drive the development of scalable, intelligent systems that support licensing financial operations and AI-driven decision-making. This role will be instrumental in shaping the architecture and delivery of next-generation platforms that power financial licensing workflows and predictive analytics.
What You’ll Do
  • Lead the design, development, and deployment of software solutions for licensing financial systems and AI-powered applications.
  • Architect and implement scalable services that integrate with internal and third-party financial platforms.
  • Collaborate with product, finance, and data science teams to define system requirements and deliver intelligent automation.
  • Apply machine learning and AI techniques to optimize licensing workflows, forecasting, and compliance monitoring.
  • Own the full software development lifecycle, including analysis, design, coding, testing, debugging, and documentation.
  • Mentor junior engineers and foster a culture of innovation, inclusion, and technical excellence.
  • Stay current with emerging technologies in AI, financial systems, and cloud-native development to inform strategic decisions.

Required Qualifications
  • 7+ years of software engineering experience, including leadership of complex projects.
  • Proven experience with financial systems, licensing workflows, or royalty management platforms.
  • Hands-on expertise of developing and deploying custom AI solutions using LLMs to automate business processes or improve business outcomes in enterprise environments
  • Excellent programming skills in languages such as Java and Python.
  • Experience with cloud platforms (AWS, GCP) and container orchestration (e.g., Kubernetes).
  • Agile development experience and familiarity with CI/CD pipelines. Terraform
  • Excellent communication and stakeholder engagement skills.

Preferred Qualifications
  • Experience with licensing systems in media, entertainment, or digital content industries.
  • Familiarity with financial compliance standards and audit processes.

Education
  • Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
  • Master’s degree in Technology is a plus.
  • Onsite 4 days per week; subject to change in either Orlando, FL OR Glendale, CA 91201