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Freelance Machine Learning Engineer Jobs in Lehigh Acres, FL

Associate Data Scientist

Fort Myers, FL ยท On-site +1

$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 ...

Software Engineer - AI Trainer

Fort Myers, FL ยท On-site +1

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

Programmer - AI Trainer

Fort Myers, FL ยท On-site +1

$50 - $100/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

... machine learning, and emerging technologies to solve complex business challenges. This role is ... Collaborate closely with engineering, data, and cross-functional teams to ensure successful ...

Python) * 3+ years of end-to-end machine learning model development experience (e.g. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and ...

Showing results 21-40

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 7, 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:

Associate Data Scientist

Gartner

Fort Myers, FL โ€ข On-site, Remote

$55K - $55K/yr

Full-time

Medical, Retirement, PTO

Posted 18 days ago


Job description

About this role:

We are seeking a talented Associate Data Scientist to join the Marketing Technology team within GSSO. In this role, you will build AI-powered solutions that accelerate Sales and Marketing productivity. You will partner with Product Owners, engineers, and data scientists to transform prospecting for Gartner's 7,000+ sales associates. Beyond model development, you will help shape Gartner's next generation of AI solutions through experimentation, prompt engineering, agentic workflows, and intelligent recommendations that drive measurable business outcomes.

What you will do:

  • Design and implement Large Language Model (LLM)-based agents that synthesize information and automate business workflows.

  • Apply NLP and Generative AI techniques to derive actionable insights from structured and unstructured data.

  • Design, test, and optimize prompts, retrieval strategies, and agent workflows to improve AI performance and scalability.

  • Build recommendation solutions, such as prospect interest prediction and personalized outreach recommendations, to enhance prospecting effectiveness.

  • Rapidly prototype AI capabilities, evaluate business impact, and help transition successful pilots into production.

  • 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 systems, bringing new ideas and best practices to the team.

What you will need:

  • BS/MS/PhD in Computer Science, Mathematics, Data Science, Statistics, Economics, or a related field.

  • 1+ years of experience applying data science and machine learning techniques through professional work, internships, or research.

  • Experience with Python, SQL, statistical analysis, and databases.

  • Curiosity and a growth mindset, with a strong interest in Generative AI and machine learning.

  • Strong problem-solving skills and the ability to work independently in ambiguous environments.

  • Ability to communicate technical concepts and connect solutions to business outcomes.

  • Experience with prompt engineering, retrieval techniques, model evaluation, or agent orchestration is a plus.

  • Collaborative, inclusive, and respectful team player.

  • Proven ability to manage tasks end-to-end and meet deadlines

  • Detail-oriented with strong organizational skills and innovative mindset.

What you will get:

  • Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!

  • Collaborative, team-oriented culture that embraces diversity

  • Professional development and unlimited growth opportunities

#LI-KR4

Who are we?

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we've grown to 20,000 associates globally who support over 13,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That's why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work?

Our vast, virtually untapped market potential offers limitless opportunities - opportunities that may not even exist right now - for you to grow professionally and flourish personally. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

Gartner is the world authority on AI

At Gartner, you'll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients' AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You'll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes.

It's an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that's reshaping the way we operate. If you're passionate about AI and want to be part of a team that's guiding the leaders who shape the world, Gartner is the place for you.

What do we offer?

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.

In our hybrid work environment, we provide the flexibility and support for you to thrive - working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Ready to grow your career with Gartner? Join us.

Gartner believes in fair and equitable pay. A reasonable estimate of the base salary range for this role is 90,000 USD - 118,000 USD. Please note that actual salaries may vary within the range, or be above or below the range, based on factors including, but not limited to, education, training, experience, professional achievement, business need, and location. In addition to base salary, employees will participate in either an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. Our talent acquisition team will provide the specific opportunity on our bonus or incentive programs to eligible candidates. We also offer market leading benefit programs including generous PTO, a 401k match up to $7,200 per year, the opportunity to purchase company stock at a discount, and more.


The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to seek to advance the principles of equal employment opportunity.

Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company's career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email toApplicantAccommodations@gartner.com.

Job Requisition ID:109825

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