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Junior Machine Learning Jobs in Florida (NOW HIRING)

Sr. Machine Learning Engineer

Bradenton, FL · On-site

$50.50 - $66.75/hr

The role involves designing workflows, developing predictive algorithms, and mentoring junior team ... Machine Learning Solutions using the latest methods and technologies. • Leads program review ...

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Junior Machine Learning information

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

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

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What are the most commonly searched types of Machine Learning jobs in Florida?

The most popular types of Machine Learning jobs in Florida are:

What cities in Florida are hiring for Junior Machine Learning jobs?

Cities in Florida with the most Junior Machine Learning job openings:

Infographic showing various Junior Machine Learning job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Sr. Machine Learning Engineer

Bradenton, FL • On-site

ClifyX
Recruiting and Staffing Services • 51 - 200 employees

$50.50 - $66.75/hr

Full-time

Re-posted 10 days ago


Job description

Job Summary:
ClifyX is seeking a Sr. Machine Learning Engineer who will collaborate with a team of Data Scientists and Data Analysts to create scalable, data-driven solutions. The role involves designing workflows, developing predictive algorithms, and mentoring junior team members, ensuring effective operation of data products in a production environment.
Responsibilities:
• 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.
Qualifications:
Required:
• 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.
Company:
ClifyX provides innovative business solutions which satisfy requirements for mission-critical reliability, scalability, interoperations. Founded in 1998, the company is headquartered in South Plainfield, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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