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Machine Learning Jobs in Orlando, FL (NOW HIRING)

Apex Systems

Sr Software Engineer (Python, ML)

Orlando, FL · On-site

$114K - $150K/yr

Position: Senior Software Engineer (Machine Learning) Location: Orlando, FL (Hybrid - 4 days onsite) Duration: 9-12 month contract (with potential for extension or conversion to full time hire ...

(unknown company)

Data Scientist

Orlando, FL

Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps.

(unknown company)

Data Scientist

Orlando, FL · On-site +1

Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps.

Lockheed Martin

AI/ML Engineer

Orlando, FL · On-site +1

... machine learning and feature engineering techniques
 • Deploying AI capabilities and tracking projects through to completion
 • Implementing best technical practices from the fields of ...

Lockheed Martin

Senior AI Engineer

Orlando, FL · On-site +1

$97K - $133K/yr

... machine learning and feature engineering techniques
 • Deploying AI capabilities and tracking projects through to completion
 • Implementing best technical practices from the fields of ...

Lockheed Martin

Senior AI Engineer

Orlando, FL · On-site +1

$114K - $150K/yr

... machine learning and feature engineering techniques
 • Deploying AI capabilities and tracking projects through to completion
 • Implementing best technical practices from the fields of ...

Lockheed Martin

AI/ML Engineer

Orlando, FL · On-site +1

... machine learning and feature engineering techniques
 • Deploying AI capabilities and tracking projects through to completion
 • Implementing best technical practices from the fields of ...

CEI

Senior ML Platform Engineer

Kissimmee, FL · On-site

$70 - $80/hr

This role focuses on developing scalable, real-world computer vision applications, integrating machine learning models into production systems, and optimizing performance at scale. Key ...

Deloitte

Data Scientist

Lake Mary, FL

Develop and train machine learning models to solve problems such as prediction, classification, and clustering. * Validate and deploy models into production environments. * Communicate findings and ...

Pwc

AI & GenAI Data Scientist - Manager

Orlando, FL · On-site

$99K - $232K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials ...

RICEFW Technologies

AI ML Engineer

Orlando, FL

Experience in machine learning and deep learning with Python. * Familiarity with Azure and cloud platforms. * Experience with generative AI technologies. * Develop end-to-end applications using large ...

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All JobsMachine Learning JobsMachine Learning Jobs in Orlando, FL

Machine Learning information

See Orlando, FL salary details

$23.8K

$39.8K

$82.1K

How much do machine learning jobs pay per year?

As of Jun 16, 2026, the average yearly pay for machine learning in Orlando, FL is $39,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,300.00 and $42,900.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, strategic planning, and may require extensive experience and specialized certifications, with compensation reflecting the seniority and impact of the role.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-demand industries or at large tech companies can earn salaries of $500,000 or more, especially when including bonuses and stock options. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These jobs typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine learning engineers, data scientists, and AI ethics specialists are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills, critical thinking, and understanding of complex algorithms that are difficult to fully automate. Continuous learning and certification in relevant tools like Python, TensorFlow, or ethical frameworks will support job security in these fields.
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 Machine Learning jobs in Orlando, FL? For Machine Learning jobs in Orlando, FL, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Orlando, FL look for? The top searched job categories for Machine Learning jobs in Orlando, FL are:
What cities near Orlando, FL are hiring for Machine Learning jobs? Cities near Orlando, FL with the most Machine Learning job openings:
Machine Learning jobs near you
Sr Software Engineer (Python, ML)

Sr Software Engineer (Python, ML)

Apex Systems

Orlando, FL • On-site

$114K - $150K/yr

Other

Medical, Dental, Vision, Life, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

Job#: 3036939
Job Description:
Apex Systems, a World-Class Technology Solutions Provider, is seeking applicants for the below position on behalf of our client. Please apply if interested and qualified. Please note that only qualified candidates will be contacted.
Position: Senior Software Engineer (Machine Learning)
Location: Orlando, FL (Hybrid - 4 days onsite)
Duration: 9-12 month contract (with potential for extension or conversion to full time hire)
Overview
We are seeking a Senior Software Engineer to join a high-impact engineering team focused on building scalable machine learning and computer vision solutions within a global, distributed environment.
This role will contribute to the development of real-time, production-grade ML systems, supporting applications that operate at scale across both edge and cloud environments. You will work across the full lifecycle of machine learning systems-from model development and training to deployment, monitoring, and optimization-while integrating these systems into robust, production-ready services.
Key Responsibilities
  • Design, build, and maintain machine learning pipelines including data ingestion, model training, evaluation, and deployment
  • Develop and optimize real-time or streaming data pipelines for high-throughput systems
  • Deploy and support computer vision models in scalable production environments
  • Collaborate with cross-functional teams to integrate ML models into distributed software systems
  • Build and maintain model monitoring, evaluation, and performance optimization frameworks
  • Design systems that are scalable, observable, and resilient in cloud-based environments
  • Contribute to event-driven architectures and downstream data integration
  • Optimize system performance across the full stack, including compute, memory, and data processing layers
  • Participate in code reviews, testing, and ongoing system enhancements
Required Qualifications
  • 3+ years of professional experience in software engineering, with a focus on machine learning systems or data-intensive applications
  • Strong programming experience in Python, with hands-on use of ML frameworks such as PyTorch
  • Experience building and deploying distributed, production ML systems
  • Proven experience with real-time or streaming data pipelines
  • Strong understanding of event-driven architecture and system design for scalability and reliability
  • Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
  • Hands-on experience deploying ML models in cloud environments (e.g., AWS, including SageMaker)
  • Experience with messaging/streaming technologies such as Kafka, Kinesis, or Redis
  • Familiarity with Linux/Ubuntu environments for development and deployment
  • Understanding of system observability, monitoring, and performance tuning
Preferred Qualifications
  • Experience working with computer vision models (e.g., object detection, segmentation, classification)
  • Familiarity with modern CV architectures and frameworks (e.g., YOLO, SAM, VLMs or similar)
  • Experience building MLOps pipelines and automating the ML lifecycle
  • Experience with high-throughput or low-latency systems
  • Experience handling sensitive or regulated data environments
  • Additional experience with Java-based services
Technical Environment
  • Languages: Python (primary), Java (preferred)
  • Frameworks/Tools: PyTorch, ML frameworks
  • Cloud: AWS (including SageMaker)
  • Containerization: Docker, Kubernetes
  • Architecture: Distributed systems, streaming pipelines, event-driven systems
  • Operating Systems: Linux / Ubuntu
What Sets This Role Apart
  • Opportunity to work on cutting-edge machine learning and computer vision applications at scale
  • Exposure to real-time systems and high-performance distributed architectures
  • End-to-end ownership across ML model lifecycle and production deployment
  • Collaborative environment focused on solving complex, high-impact engineering challenges
Ideal Candidate Profile
  • You are a hands-on software engineer with deep interest or expertise in machine learning systems, particularly in computer vision and real-time data processing. You enjoy working at scale, solving complex technical challenges, and building production-ready ML solutions that deliver measurable impact.

*Please note that as a contract employee of Apex Systems, benefits include the below with employee contribution*
Health
Dental
Vision
Life Insurance; Short Term Disability
Hospitalization Coverage
Direct Deposit
Weekly Pay Periods
Training and Development Programs
401k
Referral Program
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .
Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at or . Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.
UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.

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