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

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 ...

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 ...

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning engineers, and software engineers for the deployment of machine learning models into production environments ...

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

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning engineers, and software engineers for the deployment of machine learning models into production environments ...

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 ...

Senior ML Platform Engineer Job at a Glance * Title: Senior ML Platform Engineer * Location ... machine learning models into production systems, and optimizing performance at scale. Key ...

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 ...

AI Engineer

Lake Mary, FL · On-site

$60K - $135K/yr

Develop and implement AI solutions using advanced machine learning techniques and algorithms. Work with Large Language Models (LLM) to enhance natural language processing capabilities. Write ...

Title:- AI ML Engineer Location:- Orlando, FL(Onsite) Long Term Contract Required Skills ... Experience in machine learning and deep learning with Python. * Familiarity with Azure and cloud ...

Title:- AI ML Engineer Location:- Orlando, FL(Onsite) Long Term Contract Required Skills ... Experience in machine learning and deep learning with Python. * Familiarity with Azure and cloud ...

Sr. AI/ML Engineer

Orlando, FL

$97K - $134K/yr

Title: Sr. AI/ML Engineer Location: Orlando, FL (Onsite) Duration: Contract Rate: on W2 Only locals ... years of experience · - Experience in machine learning and deep learning with Python. · ...

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 ...

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 ...

Lead ML Ops Engineer

Orlando, FL · On-site

$95K - $126K/yr

This role manages a team of Machine Learning Operations Engineers, oversees the endtoend machinelearning strategy and execution, sets vision for MLOps, and ensures alignment with business goals. How ...

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Showing results 1-20

Machine Learning Engineer information

See Orlando, FL salary details

$29.4K

$120.2K

$180.6K

How much do machine learning engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for machine learning engineer in Orlando, FL is $120,208.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,800.00 and $144,700.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

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-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

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:
What are popular job titles related to Machine Learning Engineer jobs in Orlando, FL? For Machine Learning Engineer jobs in Orlando, FL, the most frequently searched job titles are:
What cities near Orlando, FL are hiring for Machine Learning Engineer jobs? Cities near Orlando, FL with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Orlando, FL as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $120,208 per year, or $57.8 per hour.
Sr Software Engineer (Python, ML)

Sr Software Engineer (Python, ML)

Apex Systems

Orlando, FL

$114K - $150K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago


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.