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

SynergisticIT

Machine Learning Engineer

Orlando, FL

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

Varsity Tutors

Machine Learning Tutor

Orlando, FL · Remote

$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 ...

Software Technology Inc

ML Engineer

Orlando, FL

ML Engineer Location: CA, WA, FL, NY (Disney Hubs) - Onsite Orlando, Florida San Francisco ... Machine learning, and deep learning techniques, exploratory data analysis (EDA), data science Key ...

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 ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Orlando, FL

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.

More about 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:
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 job categories do people searching Machine Learning Engineer jobs in Orlando, FL look for? The top searched job categories for Machine Learning Engineer jobs in Orlando, FL 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:
Machine Learning Engineer jobs near you
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.
Machine Learning Engineer

Machine Learning Engineer

SynergisticIT

Orlando, FL

Other

Posted 26 days ago

Job description

2024 is finally here and we hope the Job market improves however as per a resume builder survey based on response from more than 900 companies 4 out of 10 companies are planning to have layoffs in 2024 or have a hiring freeze. Almost 390,000 tech employees have been laid off since 2022 and it's still ongoing. The effect of this has led hundreds of thousands of laid off Tech employees competing with existing Jobseekers.
AI is replacing many normal jobs which were done by people. As per news reports Google is planning to Client off 30,000 employees in its ad sales who will be replaed by AI ad technology.
Entry level Job seekers struggle to get responses to their applications, are getting ghosted after interviews. In such a scenario the Job seekers need to differentiate themselves by ensuring to obtain exceptional skills and technologies so that they can wear multiple roles at a client as clients now would want to expand roles and responsibilities assigned to a particular job to save costs.
Since 2010 Synergisticit has helped Jobseekers differentiate themselves by providing candidates the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT We just don't focus on getting you a Job we make careers.
All Positions are open for all visas and US citizens
We are matchmakers we provide clients with candidates who can perform from day 1 of starting work. In this challenging economy every client wants to save $$$'s and they want the best value for their money. Jobseekers need to self-evaluate if they have the requisite skills to meet client requirements and needs as Clients now post covid can also hire remote workers which increases even more competition for jobseekers.
We at Synergisticit understand the problem of the mismatch between employer's requirements and Employee skills and that's why since 2010 we have helped 1000's of candidates get jobs at technology clients like apple, google, Paypal, western union, Client, visa, walmart lab s etc to name a few.
We have an excellent reputation with the clients. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.
Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
We assist in filing for STEM extension and also for H1b and Green card filing to Candidates
We also offer Skill and technology enhancement programs for candidates who are either missing skills or are lacking Industry/Client experience with Projects and skills. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. If a Jobseeker is qualified with enough skills and have hands on project work at clients then they should be good to be submitted to clients. Shortlisting and selection are totally based on clients discretion not ours.
If you applied for a job and got emails from our skill enhancement team please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team.
please check the below links to see success outcomes of our candidates and our participation at different Tech industry events and how we are different from other organizations in helping Jobseekers secure Tech careers
https://www.synergisticit.com/candidate-outcomes/
We regularly interact with the Top Tech companies to give our candidates a competitive advantage-Please see us exhibiting at Oracle Cloud world /Oracle Java one (Las vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023
https://reg.rf.oracle.com/flow/oracle/cwoh23/OCWExhibitorCatalog/page/OCWexhibitorcatalog
https://youtu.be/Rfn8Y0gnfL8'si=p2V4KFv5HukJXTrn
https://youtu.be/-HkNN1ag6Zk'si=1NRfgsvL_HJMVb6Q
https://www.youtube.com/watch?v=NVBU9RYZ6UI
https://www.youtube.com/watch?v=EmO7NrWHkLM
https://www.youtube.com/watch?v=OAFOhcGy9Z8
For preparing for interviews please visit https://www.synergisticit.com/interview-questions/
We are looking for the right matching candidates for our clients
Please apply via the job posting
REQUIRED SKILLS For Java /Full stack/Software Programmer
• Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
• Highly motivated, self-learner, and technically inquisitive
• Experience in programming language Java and understanding of the software development life cycle
• Project work on the skills
• Knowledge of Core Java , javascript , C++ or software programming
• Spring boot, Microservices, Docker, Jenkins and REST API's experience
• Excellent written and verbal communication skills
For data Science/Machine learning Positions
REQUIRED SKILLS
• Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
• Project work on the technologies needed
• Highly motivated, self-learner, and technically inquisitive
• Experience in programming language Java and understanding of the software development life cycle
• Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools
• Excellent written and verbal communication skills
Preferred skills: NLP, Text mining, Tableau, PowerBI, SAS, Tensorflow
If you get emails from our skill enhancement team please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements.
No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates

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