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Entry Level Machine Learning Engineer Jobs in Clearwater, FL

ClifyX is a company seeking an AI/ML Engineer to design and implement enterprise machine learning platforms. The role involves establishing standards for AI/Client platforms, providing technical ...

Machine Learning Tutor

Tampa, FL · Remote

$18 - $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 ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Bigdata Engineer

Tampa, FL

$52.75 - $69.75/hr

Job Title: Bigdata Engineer Location: Tampa, FL Duration: 12+ Months Contract to hire Job ... Deploy the machine learning model and serve its outputs as RESTful API calls. Understand the ...

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

... machine learning/Big Data • applications using open source tools such as Scala, Java, Python ... Interface with Engineering/Operations/System Admin/Data Scientist teams to ensure data • ...

Responsibilities : • AIML Model Development • Design build and optimize machine learning and ... Engineering Pipelines • Prepare transform and manage datasets build feature pipelines and model ...

Showing results 21-40

Entry Level Machine Learning Engineer information

See Clearwater, FL salary details

$27.6K

$63.9K

$108.8K

How much do entry level machine learning engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for entry level machine learning engineer in Clearwater, FL is $63,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,500.00 and $72,400.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are the most commonly searched types of Machine Learning Engineer jobs in Clearwater, FL?

The most popular types of Machine Learning Engineer jobs in Clearwater, FL are:

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Clearwater, FL?

For Entry Level Machine Learning Engineer jobs in Clearwater, FL, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning Engineer jobs in Clearwater, FL look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Clearwater, FL are:

What cities near Clearwater, FL are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Clearwater, FL with the most Entry Level Machine Learning Engineer job openings:

Infographic showing various Entry Level Machine Learning Engineer job openings in Clearwater, FL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $63,929 per year, or $30.7 per hour.

Machine Learning Engineer/Data Scientist

3B Staffing LLC

Tampa, FL • Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

POSITION

Machine Learning Engineer/Data Scientist

LOCATION

Remote

DURATION

6-12 mo

INTERVIEW TYPE

Video

VISA RESTRICTIONS

None

REQUIRED SKILLS

Python

SQL

Data Science

NLP

Machine Learning

Required Capabilities:

  • True Data Scientist with strong NLP, not a software engineer.
  • SQL for Gridspsace opporability
  • Python
  • Nice to have domino lab

Introduction:

Join our dynamic team at Kforce, a leading player in the insurance industry, as a Data Scientist. You will be pivotal in enhancing our customer interactions by developing advanced data solutions focused on analyzing call quality within our contact center. This role requires a blend of expertise in Python, SQL, and NLP technologies to drive improvements and deliver actionable insights.

Responsibilities:

  • Data Analysis and Modeling: Utilize Python and SQL to gather, process, and analyze large datasets related to customer interactions within the contact center
  • Data Scientist, someone with strong SQL, Python, and NLP (e.g. Sentence Transformers) experience and is able to learn the quality space quickly

-NLP Implementations: Develop and implement NLP models to analyze and interpret complex linguistic data from customer calls, extracting insights to improve call quality and customer satisfaction.

Solution Development: Design and build scalable data solutions that integrate with existing contact center technologies to monitor, report, and improve call quality metrics.

Cross-functional Collaboration: Work closely with IT, customer service, and quality assurance teams to align data science projects with business objectives and ensure seamless implementation.

-Continuous Improvement: Monitor model performance and make continuous improvements, adapting to new challenges and changing business needs.

Reporting and Visualization: Create reports and dashboards for business stakeholders, providing clear visualizations and actionable insights from complex datasets.

Requirements:

Education & Experience:

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.
  • Proven experience in data science with a strong focus on Python and SQL.
  • Experience in applying NLP techniques in a business environment, preferably in a contact center or customer service setting.

Technical Skills:

  • Expertise in Python programming and familiarity with data science libraries (e.g., Pandas, NumPy, SciPy).
  • Proficient in SQL and experience with database management systems.
  • Hands-on experience with NLP tools and libraries (e.g., NLTK, spaCy, or Transformers).

Soft Skills:

  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills.
  • Ability to translate complex data into actionable insights for non-technical stakeholders.

Technology:

  • We are looking for a data scientist
  • NLP
  • Other skills: SQL, Python, NLP, Automation
  • Domino Data Lab