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

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 ...

KPMG US

Data Scientist- Senior Associate

Orlando, FL · On-site

$55K - $55K/yr

... to junior data scientists. Responsibilities : • Develop and implement core components of ... Required : • Minimum three years of recent experience in data science, machine learning ...

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 ...

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 ...

The Walt Disney Company

Sr Software Engineer

Orlando, FL · On-site

$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 ...

ONE ALLIANCE INSURANCE MANAGERS INC

Data Engineer

Orlando, FL · On-site

$106K - $128K/yr

Mentor junior team members and foster a culture of data-driven decision-making. Monitor the task ... Knowledge of machine learning frameworks and MLOps is a plus. Familiarity with ticketing systems ...

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All JobsMachine Learning JobsJunior Machine Learning JobsJunior Machine Learning Jobs in Orlando, FL

Junior Machine Learning information

See Orlando, FL salary details

$7

$25

$44

How much do junior machine learning jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for junior machine learning in Orlando, FL is $25.16, according to ZipRecruiter salary data. Most workers in this role earn between $15.24 and $30.96 per hour, depending on experience, location, and employer.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

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

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

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

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

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 Junior Machine Learning jobs in Orlando, FL?

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

What job categories do people searching Junior Machine Learning jobs in Orlando, FL look for?

The top searched job categories for Junior Machine Learning jobs in Orlando, FL are:

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

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

Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning 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 $52,341 per year, or $25.2 per hour.

Junior AI / Data Engineering Analyst

Socket.dev

Orlando, FL • On-site

$60 - $80/hr

Other

Medical, Dental, Vision, Retirement

Posted 4 days ago

Job description

Junior AI / Data Engineering Analyst

Junior AI / Data Engineering Analyst

Location: Orlando, FL, USA (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent

Launch your career in AI, Data Engineering, and Analytics while working on innovative solutions for leading financial services organizations.

The Role

We are seeking motivated early-career talent interested in building careers in Artificial Intelligence, Data Science, and Data Engineering to join our growing Technology & Engineering practice. This role is designed for candidates who are eager to learn, experiment with emerging technologies, and contribute to real-world data and AI initiatives within financial services.

You’ll work alongside experienced engineers, data scientists, and technical leaders while gaining hands-on exposure to AI applications, data platforms, analytics, and modern software development practices.

What You’ll Do

  • Support the development of AI, data, and analytics solutions for business and technology teams
  • Assist with building and maintaining data pipelines, APIs, and cloud-based workflows
  • Contribute to AI and machine learning initiatives involving generative AI, automation, and predictive analytics
  • Collaborate with agile, cross-functional teams on software development, testing, deployment, and technical documentation
  • Work with structured and unstructured datasets to generate insights and improve business processes

What We’re Looking For

  • Bachelor’s degree (or upcoming graduation) in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related technical field
  • Exposure to programming languages such as Python, SQL, Java, or JavaScript through coursework, internships, bootcamps, or personal projects
  • Interest in AI, machine learning, data engineering, analytics, or cloud technologies
  • Strong analytical thinking, problem-solving, communication, and collaboration skills
  • Demonstrated curiosity, adaptability, and willingness to learn new technologies in a team-oriented environment

Bonus Points For

  • Internship, academic, or personal project experience involving AI, analytics, or data engineering
  • Exposure to cloud platforms such as AWS, Azure, or Google Cloud
  • Familiarity with machine learning concepts, ETL pipelines, dashboards, or data visualization tools
  • Experience using Git, Jupyter Notebooks, Tableau, Power BI, Spark, Databricks, or similar technologies
  • Awareness of generative AI, LLMs, prompt engineering, or AI development frameworks

Why Join Capco

  • Deliver high-impact technology solutions for Tier 1 financial institutions
  • Work in a collaborative, flat, and entrepreneurial consulting culture
  • Access continuous learning, training, and industry certifications
  • Be part of a team shaping the future of digital financial services
  • Help shape the future of digital transformation across FS & Energy

Benefits

  • Medical, Dental, Vision, and 401(k) match
  • Maternity and paternity leave, dependent care support, and commuter benefits
  • Tuition reimbursement and wellness reimbursement programs
  • Health Savings Account (HSA) and Flexible Spending Account (FSA) options
  • Access to Working Advantage employee discount marketplace

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know - we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration - a mindset that shapes how we work with clients and each other every day.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

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