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Machine Learning Engineer Jobs in Winter Springs, FL

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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 ...

Disney Experiences

Sr Software Engineer

Orlando, FL

$135K - $181K/yr

Apply machine learning and AI techniques to optimize licensing workflows * Mentor junior or contracted engineers and foster a culture of innovation, inclusion, and technical excellence. * Stay ...

Apple

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 ...

Apple

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 ...

4C North America

Software Engineer

Orlando, FL

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 ...

Caeus

Software Engineer

Orlando, FL · On-site

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 ...

CAE, Inc.

Software Engineer

Orlando, FL · On-site

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 ...

The Walt Disney Company

Senior Data Engineer

Orlando, FL · On-site

$99K - $134K/yr

Senior Data Engineer Req ID: 10155439 About the Role & Team: "We Power the Magic!" That's our motto ... machine learning Uphold design standards and quality assurance protocols for the development of ...

DRMP

Applied AI Field Engineer (Orlando)

Orlando, FL · On-site

Required : • 4+ years of experience in software engineering, applied AI, or machine learning development • Strong programming skills in Python and/or JavaScript • Hands-on experience working ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Winter Springs, FL

Machine Learning Engineer information

See Winter Springs, FL salary details

$26.9K

$110.2K

$165.5K

How much do machine learning engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning engineer in Winter Springs, FL is $110,154.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,800.00 and $132,600.00 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.

More about Machine Learning Engineer jobs
What are popular job titles related to Machine Learning Engineer jobs in Winter Springs, FL? For Machine Learning Engineer jobs in Winter Springs, FL, the most frequently searched job titles are:
What cities near Winter Springs, FL are hiring for Machine Learning Engineer jobs? Cities near Winter Springs, FL with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Winter Springs, FL as of August 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 100% In-person job distribution, with an average salary of $110,154 per year, or $53 per hour.

Senior Data Scientist Contractor (1099)

Wired People Inc

Orlando, FL • On-site

$165 - $262/hr

Other

Posted 5 days ago

Job description

WiredPeople is looking for a senior-level Data Scientist who can operate independently to drive advanced statistical modeling, complex analytics, and research initiatives. The ideal candidate brings a unique blend of deep technical expertise, strategic consulting experience, and a proven track record of working directly with external clients, particularly government stakeholders.

In this role, you will provide analytical leadership, define technical approaches, and translate highly complex data into actionable insights for non-technical audiences. Experience working with healthcare, public health, research, or government-related data projects is highly desirable.

We are currently seeking a highly skilled Senior Data Scientist Contractor (1099) to join our network and support complex analytics and research projects for our clients.

Key Responsibilities

  • Analytical Leadership: Independently define analytical approaches, design research methodologies, and provide strategic recommendations to stakeholders.
  • Advanced Statistical Modeling: Develop, validate, and productionize machine learning models, utilizing techniques such as predictive modeling, Random Forest, Bayesian hierarchical modeling, and geospatial analysis.
  • Client Consulting: Work directly with external clients and government stakeholders to understand project needs, manage expectations, and deliver high-quality data science solutions.
  • Data Translation: Effectively present complex technical findings, methodologies, and actionable insights to non-technical stakeholders and decision-makers.
  • Data Management & Pipeline Development: Oversee ETL/ELT pipeline development, ensuring robust data governance, access controls, and secure handling of sensitive health and regulated datasets.
  • Technical Execution: Utilize an advanced technology stack, including Azure Databricks, R, and SQL, to build and deploy scalable data science solutions.

Must-Have Qualifications

  • Cloud & Architecture: Intermediate to Advanced experience in Microsoft Azure, specifically Azure Databricks.
  • Programming: Advanced proficiency in R and strong SQL and database management experience.
  • Machine Learning: Proven experience with ML techniques, including predictive modeling and Random Forest.
  • Data Security & Ethics: Experience handling sensitive health, research, or highly regulated datasets. Must hold a current CITI Certification (or have the ability to quickly obtain one).
  • Development Tools: Advanced R Shiny experience and familiarity with GitHub and CI/CD pipelines (highly preferred).

Preferred Senior-Level Experience

  • Education: PhD or extensive applied Data Science experience in a related field.
  • Advanced Modeling: Deep expertise in Bayesian hierarchical modeling, spatial/geospatial modeling, model validation, and advanced statistical analysis.
  • Industry Experience: Prior consulting experience with external clients, particularly supporting government or public-sector clients.

Technical Environment Candidates with hands-on experience in the following technical areas will stand out:

  • Cloud Platform: Azure Databricks
  • Data Warehousing: Snowflake, PostgreSQL, or similar data warehouse environments
  • Data Engineering: ETL/ELT pipeline development
  • Databases: Relational and NoSQL databases
  • Data Management: Data governance and strict access controls
  • MLOps: Productionizing and deploying machine learning models

Additional Information

  • Job Type: Contract (1099)
  • Industry Focus: Healthcare, Public Health, Government Services

WiredPeople provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, WiredPeople complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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