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Machine Learning Engineer Jobs in Tallahassee, FL

HNTB Corp

Sr AI Specialist, Team Lead

Tallahassee, FL · On-site

Master's degree in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Computer Engineering, Information Systems, Statistics, or a related technical field. * Certifications in ...

HNTB

Sr AI Specialist, Team Lead

Tallahassee, FL · On-site

Master's degree in Artificial Intelligence, Machine Learning, Data Science, Computer Science, Computer Engineering, Information Systems, Statistics, or a related technical field. * Certifications in ...

Varsity Tutors

Data Science Tutor

Tallahassee, FL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

AgileEngine

Senior Data Engineer ID75059

Tallahassee, FL · On-site

$91K - $124K/yr

... machine learning initiatives and advanced analytics; - Act as a technical consultant for ... engineering or other technical field, or equivalent experience; - 5+ years of experience with ...

AgileEngine

Senior Data Engineer ID75059

Tallahassee, FL · On-site

$100K - $136K/yr

... machine learning initiatives and advanced analytics; - Act as a technical consultant for ... engineering or other technical field, or equivalent experience; - 5+ years of experience with ...

AgileEngine

Senior Data Engineer ID75059

Tallahassee, FL · On-site +1

$100K - $136K/yr

... machine learning initiatives and advanced analytics; - Act as a technical consultant for ... engineering or other technical field, or equivalent experience; - 5+ years of experience with ...

AgileEngine

Senior Data Engineer ID75059

Boston, GA · On-site

$87K - $118K/yr

... machine learning initiatives and advanced analytics; - Act as a technical consultant for ... engineering or other technical field, or equivalent experience; - 5+ years of experience with ...

Varsity Tutors

Python Tutor

Tallahassee, FL · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

IBM

Senior AI Solution Architect

Boston, GA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Azure Machine Learning, and enterprise data platforms • Design solutions that are scalable ... data engineering, application, and business teams to drive seamless end-to-end delivery • ...

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Showing results 21-40

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

Machine Learning Engineer information

See Tallahassee, FL salary details

$29.9K

$122.3K

$183.8K

How much do machine learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for machine learning engineer in Tallahassee, FL is $122,286.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,400.00 and $147,200.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

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 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 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.

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 popular job titles related to Machine Learning Engineer jobs in Tallahassee, FL?

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

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

The top searched job categories for Machine Learning Engineer jobs in Tallahassee, FL are:

What cities near Tallahassee, FL are hiring for Machine Learning Engineer jobs?

Cities near Tallahassee, FL with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Tallahassee, FL as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,286 per year, or $58.8 per hour.

LAMP Developer (hybrid)

Vitaver & Associates, Inc.

Tallahassee, FL • Hybrid

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

14842 - LAMP Developer (hybrid) - Tallahassee, FL
Start Date: ASAP
Type: Temporary Project.
Estimated Duration: 12+ months with possible extensions
Work Setting: Hybrid, environment consisting of both on-site and remote work
Only candidates able to relocate as required should apply to avoid removal from future consideration.
Our client is filling this contract position exclusively through approved staffing partners, so this opportunity is not available by applying directly with the client. If you're interested, we'd be happy to represent you throughout the hiring process.
Required:
  • Experience with Programming/systems analysis (2+ years);
  • Experience Designing, developing, enhancing, supporting, and maintaining enterprise web applications using the LAMP stack (Linux, Apache, MySQL, and PHP) and modern application frameworks and technologies, including Laravel, Symfony, Model-View-Controller (MVC), Entity Framework, or C#;
  • Experience with Relational database design, SQL development, and database administration using MySQL, Oracle, or Microsoft SQL Server;
  • Experience with Source control, version control, and DevOps tools, including GitHub, Azure DevOps, or Team Foundation Version Control (TFVC);
  • Experience Developing and integrating RESTful Application Programming Interfaces (APIs), middleware, or middle-tier database integration components;
  • Experience Troubleshooting and resolving application defects, ensuring data integrity, implementing application security best practices, and providing functional and technical support;
  • Experience Developing accessible web applications that comply with WCAG and Section 508 standards;
  • Experience with Application architecture, software development lifecycle (SDLC), testing, documentation, deployment, and maintenance;
  • Experience with Web technologies, including HyperText Markup Language (HTML), Cascading Style Sheets (CSS), JavaScript, Asynchronous JavaScript and XML (AJAX), JSON, jQuery, and Bootstrap;
  • Experience with RESTful APIs, web services, JSON/XML data exchange, and system integration;
  • Experience with Active Directory or enterprise authentication technologies;
  • Experience with Secure software development principles and cybersecurity best practices;
  • Experience with Relational database design and modern data platforms, including relational databases, SQL, NoSQL, and vector databases;
  • Experience with Cloud computing and modern application architectures;
  • Experience with Artificial Intelligence (AI), Machine Learning (ML), generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI-assisted software development tools, and intelligent document processing;
  • Bachelor’s degree in computer science, Information Systems, or other related field, or equivalent work experience.

Preferred:
    • Experience Evaluating, integrating, or developing solutions using Artificial Intelligence (AI), Machine Learning (ML), generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), intelligent document processing, AI-assisted software development tools, embeddings, vector databases, and NoSQL databases;
    • Experience with Cloud technologies;
    • Experience with Enterprise architecture.

Responsibilities:
    • Assist in the application design, development, enhancement, maintenance, and customer support of the Court Application Processing Systems (CAPS) and Digital Court Recording System (DCR);
    • Provide data and report;
    • Analyze the technical feasibility of proposed projects;
    • Resolve complex software problems;
    • Develop new productivity tools and methodologies;
    • Provide production support;
    • Design, develop, enhance, support, and maintain enterprise web applications and database integrations.