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Machine Learning Engineer Apprenticeship Jobs in Kissimmee, FL

247Hire

Machine Learning Engineer

Orlando, FL · On-site

$120 - $160/hr

Seeking a Machine Learning Engineer for the following role - Generative AI & ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers, Diffusers Training: DeepSpeed, Accelerate, Ray, distributed ...

Varsity Tutors

Machine Learning Tutor

Orlando, FL · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Pwc

AI Solutions Engineering Delivery Lead

Orlando, FL · On-site

$95K - $126K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

DPR Construction

MLOps Engineer

Orlando, FL · On-site

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

Pwc

US Tech - AI Engineering Senior Associate

Orlando, FL · On-site

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Capco

AI DevOps Engineer (AWS)

Orlando, FL · On-site

$49.25 - $67.50/hr

Design, build, and maintain scalable AWS cloud infrastructure supporting AI, Machine Learning, and ... Engineer - Professional, AWS Solutions Architect, or Azure/Google Cloud certifications. Why Join ...

Capco

AI DevOps Engineer (AWS)

Orlando, FL

$49.25 - $67.50/hr

Design, build, and maintain scalable AWS cloud infrastructure supporting AI, Machine Learning, and ... Engineer - Professional, AWS Solutions Architect, or Azure/Google Cloud certifications. Why Join ...

Jobtailor

Data Scientist

Orlando, FL · On-site

$75 - $110/hr

Experience applying statistical modeling and machine learning techniques to real-world business problems * Strong programming skills in Python (e.g., Pandas, scikit-learn) and SQL * Experience with ...

(unknown company)

Data Scientist

Orlando, FL

Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming ...

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All JobsMachine Learning Engineer Apprenticeship JobsMachine Learning Engineer Apprenticeship Jobs in Kissimmee, FL

Machine Learning Engineer Apprenticeship information

See Kissimmee, FL salary details

$26.9K

$60.6K

$102.1K

How much do machine learning engineer apprenticeship jobs pay per year?

As of Aug 26, 2026, the average yearly pay for machine learning engineer apprenticeship in Kissimmee, FL is $60,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,900.00 and $65,800.00 per year, depending on experience, location, and employer.

What is a machine learning engineer apprenticeship?

A Machine Learning Engineer Apprenticeship is a structured training program that combines hands-on work experience with classroom or online learning in the field of machine learning. Apprentices work under the guidance of experienced professionals to develop skills in data analysis, building machine learning models, and deploying algorithms in real-world applications. This apprenticeship is ideal for individuals seeking to enter the field of artificial intelligence without prior extensive experience, as it provides practical training and mentorship. Typically, apprenticeships last from several months to a couple of years and may lead to full-time employment upon successful completion.

What types of projects can I expect to work on during a machine learning engineer apprenticeship?

As a Machine Learning Engineer Apprentice, you can expect to participate in hands-on projects that involve data preprocessing, building and evaluating machine learning models, and collaborating with cross-functional teams such as data scientists and software engineers. Common projects may include developing recommendation systems, automating data analysis tasks, or implementing natural language processing solutions. These experiences provide valuable exposure to real-world datasets and industry-standard tools, helping you build foundational skills for a long-term career in machine learning.

What are the key skills and qualifications needed to thrive as a machine learning engineer apprentice, and why are they important?

To thrive as a Machine Learning Engineer Apprentice, a solid understanding of mathematics, programming (especially Python), and foundational machine learning concepts is essential, often supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and the ability to collaborate and communicate complex ideas clearly are valuable soft skills. These abilities are crucial for efficiently developing, testing, and deploying machine learning models while contributing effectively to team projects.

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Machine Learning Engineer Apprenticeship jobs near you

Sr Machine Learning Engineer

The Walt Disney Company

Orlando, FL • On-site

$135K - $181K/yr

Full-time

Posted 5 days ago

Walt Disney Company rating

7.8

Company rating: 7.8 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

3rd of 52 rated entertainment

Job description

Job Posting Title:

Sr Machine Learning Engineer

Req ID:

10154204

Job Description:

The Senior Machine Learning Engineer applies practical knowledge of machine learning, data science, and software engineering to conceive, design, develop, train, and deploy ML models, pipelines, and systems of moderate to high complexity. The Senior Machine Learning Engineer owns the design and development of ML solutions and drives their delivery through their own and other engineers' work. The Senior Engineer provides technical guidance and acts as a point of escalation and as a machine learning expert. The Senior Machine Learning Engineer designs and develops highly scalable ML systems and data pipelines.

Responsibilities
  • Owns the design and development of machine learning models, pipelines, and production ML systems.
  • Drives development of ML components through own and other engineers' work.
  • Develops technical solutions that meet specifications and that inform future ML initiatives.
  • Executes assigned ML development projects and major model improvements using new or existing technologies.
  • Develops specifications for assigned ML components, projects, or model enhancements.
  • Reviews and writes code for model training, evaluation, and inference pipelines.
  • Participates in setting the architectural direction for ML platforms and data infrastructure.
  • Designs specific ML components for assigned projects, developing specifications for each.
  • Able to build and lead end-to-end ML workflows from data ingestion through model serving.
  • Interacts and coordinates deliverables with data science, data engineering, and product teams across the organization.
  • Designs and develops ML system specifications for assigned projects.
  • Designs component tasks for assigned projects, developing ML-specific specifications for each.
  • Serves as a high-level technical resource and "go-to" person for less experienced ML engineers and data scientists, providing technical guidance and oversight.
  • Leads team members in problem analysis, model debugging, and issue resolution.
Basic Qualifications
  • 5+ years of relevant experience designing, training, and deploying machine learning models in production environments at scale.
  • Experience with Python and ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Strong understanding of ML fundamentals including supervised/unsupervised learning, model evaluation, and feature engineering.
  • Strong expertise in MLOps practices including model versioning, experiment tracking, CI/CD for ML, and model monitoring.
  • Experience with cloud-based ML services and infrastructure (e.g., AWS SageMaker, EC2, S3).
  • Experience with data pipeline and orchestration tools (e.g., Airflow, Spark, Kafka).
  • Familiarity with database and data storage technologies (e.g., DynamoDB, Redshift, NoSQL), containerization (Docker, Kubernetes), and data manipulation tools.
  • Experience with Snowflake is required.
Preferred Qualifications
  • Experience with large-scale recommendation systems, personalization, NLP, or computer vision.
  • Experience with real-time ML inference and low-latency serving architectures.
  • Familiarity with LLMs and generative AI integration in production systems.
  • Experience with Java (e.g., Spring Boot) is a plus.
Required Education
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or similar field, or related work experience.
The hiring range for this position in Florida is $135,200.00-$181,200.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment:

DX Technology

Job Posting Primary Business:

Commerce

Primary Job Posting Category:

Machine Learning

Employment Type:

Full time

Primary City, State, Region, Postal Code:

Orlando, FL, USA

Alternate City, State, Region, Postal Code:

Date Posted:

2026-06-29

What Walt Disney Company employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Walt Disney logo

About Walt Disney

Sourced by ZipRecruiter

At Disney, we're storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. "We create happiness." That's our motto at Walt Disney Parks and Resorts. And it permeates everything we do. At Disney, you'll help inspire that magic by enabling our teams to push the limits of entertainment and create the never-before-seen!

Industry

Amusement, gambling, and recreation

Company size

10,000+ Employees

Headquarters location

Burbank, CA, US

Social media

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