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Freelance Machine Learning Engineer Jobs in Lehigh Acres, FL

Bespoke Labs

Machine Learning Engineer

Fort Myers, FL · On-site

* Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection ...

Hertz

Sr Data Engineer

Estero, FL · On-site

$117 - $143/hr

Build data integrations supporting analytics, reporting, machine learning, and operational use ... Mentor junior engineers and promote data engineering best practices. Required Qualifications

Eightpoint Interactive, Inc.

AI Engineer

Fort Myers, FL · On-site

$110 - $160/hr

... machine learning technologies to create intelligent, personalized user experiences. You'll collaborate closely with Product Managers, Mobile Engineers, Designers, and Data teams. This will lead to ...

Gartner

Associate Data Scientist

Fort Myers, FL · On-site

$55K - $55K/yr

Partner with Product Managers, business stakeholders, and engineers to translate business needs into scalable solutions. * Stay current on advancements in machine learning, Generative AI, and agentic ...

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All JobsMachine Learning Engineer JobsFreelance Machine Learning Engineer JobsFreelance Machine Learning Engineer Jobs in Lehigh Acres, FL

Freelance Machine Learning Engineer information

See Lehigh Acres, FL salary details

$13

$43

$119

How much do freelance machine learning engineer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for freelance machine learning engineer in Lehigh Acres, FL is $43.22, according to ZipRecruiter salary data. Most workers in this role earn between $21.97 and $55.96 per hour, depending on experience, location, and employer.

What does a freelance machine learning engineer do?

A Freelance Machine Learning Engineer designs, develops, and implements machine learning models and algorithms for clients on a project basis. They work independently to analyze data, build predictive models, and help businesses solve complex problems using AI and machine learning techniques. Their responsibilities may also include data preprocessing, model evaluation, and deploying solutions into production environments. Freelance Machine Learning Engineers often collaborate remotely with teams and must manage their own schedules and client relationships.

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

To thrive as a Freelance Machine Learning Engineer, you need expertise in programming (especially Python), a solid grasp of machine learning algorithms, and a relevant academic background such as a degree in computer science, mathematics, or engineering. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP, Azure), and experience with version control systems are typically required. Strong problem-solving, self-management, and client communication skills help set successful freelancers apart. These competencies are crucial for delivering effective solutions, managing projects independently, and building client trust in a competitive market.

How do freelance machine learning engineers typically manage client expectations and project scopes?

Freelance machine learning engineers often work with clients who may not have a deep technical understanding of AI or data science. A common challenge is clearly defining the project scope and deliverables at the outset, ensuring both parties understand what is feasible given the data, time, and budget constraints. Successful freelancers use regular progress updates, milestone-based deliverables, and transparent communication to manage expectations and avoid scope creep. Building trust through clear documentation and setting realistic timelines also helps foster long-term client relationships.

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

AspectFreelance Machine Learning EngineerData Scientist
CredentialsTypically requires a degree in computer science, data science, or related fields; certifications in machine learning or AI are a plusUsually holds a degree in statistics, data science, or related areas; certifications in data analysis or visualization are common
Work EnvironmentIndependent, project-based work often remotely for various clientsOften employed full-time in organizations or consulting roles, sometimes freelance
Industry UsageUsed across tech, finance, healthcare, and startups for deploying ML modelsApplied in research, analytics, and strategic decision-making across industries

Freelance Machine Learning Engineers focus on developing and deploying ML models independently for diverse clients, while Data Scientists analyze data to extract insights, often working within organizations. Both roles require strong technical skills, but their work scope and environment differ significantly.

What are popular job titles related to Freelance Machine Learning Engineer jobs in Lehigh Acres, FL?

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

What cities near Lehigh Acres, FL are hiring for Freelance Machine Learning Engineer jobs?

Cities near Lehigh Acres, FL with the most Freelance Machine Learning Engineer job openings:

Freelance Machine Learning Engineer jobs near you

AI & Machine Learning Engineer

V-Work Infotech Solutions INC

Cape Coral, FL • On-site

Other

Posted 2 days ago

New

Job description

Job Summary

We are seeking an experienced AI & Machine Learning Engineer with 10–15+ years of IT experience to design, develop, and deploy scalable AI and machine learning solutions. The ideal candidate will have expertise in Generative AI, Large Language Models (LLMs), deep learning, MLOps, cloud platforms, and production-grade AI systems. You will collaborate with data scientists, software engineers, and business stakeholders to deliver AI-driven products and intelligent automation solutions.

Key Responsibilities
  • Design, develop, and deploy machine learning and Generative AI solutions.
  • Build, fine-tune, and optimize Large Language Models (LLMs) and foundation models.
  • Develop Retrieval-Augmented Generation (RAG) applications.
  • Design AI architectures for enterprise-scale applications.
  • Build end-to-end ML pipelines from data ingestion to model deployment.
  • Develop AI-powered chatbots, virtual assistants, and recommendation systems.
  • Implement prompt engineering techniques to improve LLM performance.
  • Deploy models using MLOps best practices.
  • Optimize model accuracy, latency, scalability, and cost.
  • Work with structured, semi-structured, and unstructured datasets.
  • Collaborate with Data Engineering teams to build scalable AI platforms.
  • Monitor production AI systems and continuously improve model performance.
  • Ensure AI solutions follow security, governance, and responsible AI practices.
  • Mentor junior engineers and provide technical leadership.
Required Qualifications
  • Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
  • 10–15+ years of IT experience, with significant experience in AI/ML engineering.
  • Strong understanding of machine learning algorithms, deep learning, and Generative AI.
  • Experience delivering enterprise AI solutions.
  • Excellent communication and problem-solving skills.

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