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Junior Ai Machine Learning Python Jobs in Orlando, FL

Cloud think technologies LLC

AI Engineer

Lake Mary, FL · On-site

$60K - $135K/yr

Write efficient and scalable Python scripts to support AI and machine learning projects ... Provide technical guidance and mentorship to junior team members. Must-Have Skills 12+ Years of exp ...

Varsity Tutors

Machine Learning Tutor

Orlando, FL · Remote

$40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

247Hire

Machine Learning Engineer

Orlando, FL · On-site

GCP Vertex AI, Azure OpenAI, AWS Bedrock, multi‑cloud orchestration Serving: TensorRT, ONNX ... Expert‑level Python programming with TensorFlow/PyTorch and distributed training frameworks

Techvilla Solutions

Data Scientist

Chuluota, FL

Stay current with emerging technologies, including Artificial Intelligence (AI), machine learning ... Strong programming experience with Python. * Strong SQL skills for data extraction, transformation ...

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Junior Ai Machine Learning Python information

See Orlando, FL salary details

$43.4K

$88.3K

$132.6K

How much do junior ai machine learning python jobs pay per year?

As of Sep 10, 2026, the average yearly pay for junior ai machine learning python in Orlando, FL is $88,257.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,100.00 and $89,200.00 per year, depending on experience, location, and employer.

What does a junior AI machine learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a junior AI machine learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

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

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Junior Ai Machine Learning Python jobs in Orlando, FL?

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

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

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

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

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

Junior Ai Machine Learning Python jobs near you
Infographic showing various Junior Ai Machine Learning Python 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 $88,257 per year, or $42.4 per hour.

Junior AI / Data Engineering Analyst

Orlando, FL • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

Other

Medical, Dental, Vision, Retirement

Posted 6 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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