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Senior Machine Learning Engineer Jobs in Florida

Sr. Machine Learning Engineer

Bradenton, FL ยท Remote

$111K - $146K/yr

Sr. Machine Learning Engineer The Sr. Machine Learning Engineer collaborates with the team of Data Scientists and Data Analysts in creating scalable, data-driven, customer-centric solutions, capable ...

Job Title Mandatory skills - A blend of person who is familiar with Machine Learning Models, Docker ... Work on feature engineering to ensure most information going into the model for prediction accuracy ...

Machine Learning Engineer - Generative Al Long term contract Sunrise, FL (Hybrid-3 days onsite) Direct client- Immediate client interview We are seeking a Machine Learning Engineer to design, build ...

As a Machine Learning Engineer, you will prepare datasets, train and optimize models, and maintain ... senior guidance * Excellent understanding of model evaluation techniques, feature engineering ...

Skills and Preferred Qualifications * 2+ years of experience in machine learning and software development. * Strong engineering skills, including Python, CUDA, C++. * Experience building distributed ...

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Showing results 1-20

Senior Machine Learning Engineer information

See Florida salary details

$44.5K

$94.6K

$137.1K

How much do senior machine learning engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for senior machine learning engineer in Florida is $94,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,100.00 and $107,200.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Machine Learning Engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What does a Senior Machine Learning Engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

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

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for 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 Florida? The most popular types of Machine Learning Engineer jobs in Florida are:
What cities in Florida are hiring for Senior Machine Learning Engineer jobs? Cities in Florida with the most Senior Machine Learning Engineer job openings:
Infographic showing various Senior Machine Learning Engineer job openings in Florida as of May 2026, with employment types broken down into 4% Internship, 4% As Needed, 77% Full Time, 11% Part Time, and 4% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $94,575 per year, or $45.5 per hour.
Sr. Machine Learning Engineer

Sr. Machine Learning Engineer

ClifyX

Bradenton, FL โ€ข Remote

$111K - $146K/yr

Other

Posted 2 days ago


Job description

Sr. Machine Learning Engineer

The Sr. Machine Learning Engineer collaborates with the team of Data Scientists and Data Analysts in creating scalable, data-driven, customer-centric solutions, capable of operating in a production environment. This role possesses an in-depth subject matter expertise of design, Machine Learning, AI/Deep Learning, software development, coding, testing and application programming and assists in aligning business and functional requirements with Data Science capabilities. They also demonstrate expertise in Machine Learning tools, Big Data technologies, and software build processes and guides the team towards rapid deployment and scaling up of our Machine Learning capabilities across Footlocker's online and offline platforms.

Essential duties and responsibilities include the following. Other duties may be assigned:

  • Provides the technical expertise and support to ensure that data products function effectively in a production environment.
  • Design workflows that manage the development, support, and release of production level code.
  • Works closely with Data Scientists and Data Engineers to develop predictive algorithms.
  • Operationalizes applications into stable builds which can then be deployed to the cloud or on-prem.
  • Designs systems, alerts, and dashboards to monitor data products in production.
  • Accesses data from a variety of sources, including RDMS, NoSQL, or API.
  • Supports the Data Engineer and Architecture teams in defining the long-term technology roadmap for the team.
  • Advocates a testing first strategy to integrate A/B testing into all levels of product development.
  • Creates measurement systems to continuously evaluate the performance of data products.
  • Decomposes highly complex problem statements into specific deliverables and requirements.
  • Leads technology evaluations; creates prototypes for scalable Machine Learning Solutions using the latest methods and technologies.
  • Leads program review sessions and collaborative exercises to build the team's overall analytical capability.
  • Mentors junior team members and provides constructive critique on specific projects.

The Sr. Machine Learning Engineer does not have direct supervisory responsibilities but they are expected to demonstrate leadership and mentor other team members.

The ideal candidate possesses the following qualifications:

  • 5+ years of hands-on experience developing and deploying enterprise scale Machine Learning solutions.
  • Expertise working with large scale distributed systems (Hadoop, Spark).
  • Advanced programming skills with Python, Scala, or R.
  • Strong SQL skills and is comfortable operating with relational data models and structure.
  • Advanced skills with NoSQL databases and can interact with large amounts of data stored in a Hadoop environment.
  • Is capable of accessing data via a variety of API/RESTful services.
  • Expertise with Continuous Integration/Continuous Delivery workflows and supporting applications.
  • Expertise in cloud environments and architectures.
  • The ability to work collaboratively with remote teams.
  • Experience with containerization using tools such as Docker.
  • Strong knowledge of Linux and Bash. Can interact with the OS at the command line and create shell scripts to automate workflows.
  • Advanced understanding of software development and collaboration, including experience with tools such as Git.
  • Excellent written and verbal communication skills, comfortable presenting in front of non-technical audiences.

Masters Degree or PhD. in a Data Science, Applied Mathematics, Computer Science, Operations Research or otherwise research-based field; 5-7 years of related experience and/or training; or equivalent combination of education and experience.

The candidate must be able to communicate with others in a simple, clear, and understandable manner. Must also have the ability to read and interpret all forms of communication. The ability to write reports for management and professional correspondence, as well as to speak effectively before peers, management, customers, and other associates of the organization is required.

The candidate must effectively plan and execute unusual and difficult work. Takes initiative and is decisive and quick, when appropriate, all while adhering to the team's standards and patterns and practices. Must have the ability to solve complex problems and deal with ambiguity where only limited standardization exists. Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form. Deals constructively with conflict and disagreement.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit and talk or hear. The employee must occasionally lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, and ability to adjust focus.

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually quiet, however positive, work-driven collaboration is encouraged.


ClifyX logo

About ClifyX

Sourced by ZipRecruiter

ClifyX is a well-established player in the IT Services sector that specializes in providing result-oriented technological solutions to a wide range of industrial verticals. Based in South Plainfield, New Jersey, ClifyX offers a comprehensive selection of IT services that include project staffing, application development, professional consulting, and other IT-based solutions. While the company's website, clifyx.com, does not divulge the exact founding date, it is clear that ClifyX has grown into a renowned name within their domain, thanks to their unwavering commitment to innovative practices. The company's mission statement revolves around harnessing the power of technology to assist their clientele in steering their respective businesses towards success.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

South Plainfield, NJ, US

Year founded

1998