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Junior Machine Learning Engineer Jobs in Orlando, 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 ...

Cloud think technologies LLC

AI Engineer

Lake Mary, FL · On-site

$60K - $135K/yr

Conduct research and stay updated with the latest advancements in AI and machine learning. Provide technical guidance and mentorship to junior team members. Must-Have Skills 12+ Years of exp Strong ...

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 ... guide junior associates in their tasks - Uphold rigorous standards of quality and technical ...

Pwc

US Tech - AI Engineering Manager

Orlando, FL · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Responsibilities - Mentor junior engineers and foster their growth - Maintain security and ...

Wilo USA LLC

Junior Developer

Sanford, FL · On-site

$60K - $78K/yr

If you enjoy solving problems, learning new technologies, and seeing how technology supports real-world business operations, we want to hear from you. What You'll Do As our Junior Developer, you'll ...

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Junior Machine Learning Engineer information

See Orlando, FL salary details

$31.3K

$67K

$102.1K

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

As of Aug 24, 2026, the average yearly pay for junior machine learning engineer in Orlando, FL is $66,979.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,200.00 and $74,600.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.
More about Junior Machine Learning Engineer jobs

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:

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For Junior Machine Learning Engineer jobs in Orlando, FL, the most frequently searched job titles are:

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What cities near Orlando, FL are hiring for Junior Machine Learning Engineer jobs?

Cities near Orlando, FL with the most Junior Machine Learning Engineer job openings:

Junior Machine Learning Engineer jobs near you
Infographic showing various Junior Machine Learning Engineer job openings in Orlando, FL as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $66,979 per year, or $32.2 per hour.

Sr Machine Learning Engineer

The Walt Disney Company

Orlando, FL

$135K - $181K/yr

Full-time

Posted 4 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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