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Freelance Machine Learning Consultant Jobs (NOW HIRING)

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

As of Sep 15, 2026, the average hourly pay for freelance machine learning consultant in the United States is $47.71, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $61.78 per hour, depending on experience, location, and employer.

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

AspectFreelance Machine Learning ConsultantData Scientist
CredentialsTypically requires degrees in CS, data science, or related fields; certifications in ML or AI are commonUsually holds degrees in statistics, computer science, or related fields; certifications like Certified Data Scientist are beneficial
Work EnvironmentIndependent, project-based, often remote; works with multiple clientsUsually employed by organizations; may work in teams within a company or as a consultant
Industry UsageFreelance roles across various industries including tech, finance, healthcarePrimarily within organizations in sectors like tech, finance, healthcare, research

While both roles involve working with data and machine learning, a Freelance Machine Learning Consultant operates independently on diverse projects, whereas a Data Scientist is typically employed within a company focusing on data analysis and model development. The choice depends on your preference for independent work versus organizational roles.

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Infographic showing various Freelance Machine Learning Consultant job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $99,230 per year, or $47.7 per hour.

Machine Learning Engineer

San Antonio, TX • On-site

Cymertek Corporation
IT Services • 11 - 50 employees

Full-time

Re-posted 11 days ago


Job description

Job Summary:
Cymertek Corporation is seeking a talented and innovative Machine Learning Engineer to join their team and help build intelligent systems that drive impactful business solutions. In this role, you will work with cutting-edge technologies to design, develop, and deploy machine learning models that solve complex problems and improve decision-making processes.
Responsibilities:
• Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
• Ability to design, implement, and optimize machine learning models and workflows
• Experience working with large, complex datasets
• Knowledge of data preprocessing and feature engineering
• Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
• Strong problem-solving skills and analytical thinking
Qualifications:
Required:
• Bachelor's Degree
• Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
• Ability to design, implement, and optimize machine learning models and workflows
• Experience working with large, complex datasets
• Knowledge of data preprocessing and feature engineering
• Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
• Strong problem-solving skills and analytical thinking
• Proficiency in programming languages (e.g., Python, R, Java)
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Expertise in model evaluation techniques and metrics
• Strong knowledge of version control tools (e.g., Git)
• Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
• Understanding of database technologies (e.g., SQL, NoSQL)
Preferred:
• Experience with natural language processing (NLP)
• Knowledge of deep learning techniques (e.g., CNNs, RNNs)
• Familiarity with deployment tools (e.g., Docker, Kubernetes)
• Experience with data augmentation and synthetic data generation
• Ability to collaborate in cross-functional teams (e.g., engineers, product managers)
• Knowledge of edge computing and model optimization for deployment
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.