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Freelance Machine Learning Engineer Jobs in Texas

They are seeking a Machine Learning Engineer to be a core contributor to projects and deliver machine learning capabilities for customers, utilizing their technical and communication skills to ...

Avride develops autonomous vehicle and delivery robot technology, and they are seeking an experienced Machine Learning Engineer to enhance their autonomous systems. The role involves developing and ...

Machine Learning Engineer Remote with occasional travel to Silver Spring, MD About @Orchard: @Orchard is a growing Woman-Owned Small Business and federal prime contractor delivering mission-critical ...

Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a talented and innovative ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, while collaborating with cross-functional teams to advance machine learning ...

Overview Quarterhill is seeking a Machine Learning Engineer to join our forward-thinking team building the next generation of Intelligent Transportation Systems . In this role, you will design ...

Machine Learning Engineer

Addison, TX ยท On-site +1

$110K - $130K/yr

... machine learning models and algorithms that will improve Confie's business outcome/customer experience Perform data cleansing, analysis, and feature engineering using Python Ability to work with ...

As a Machine Learning Engineer II at 7-Eleven, you will collaborate with cross-functional teams and work closely with senior architects to implement scalable and efficient data solutions. Your ...

As a Machine Learning Engineer II at 7-Eleven, you will collaborate with cross-functional teams and work closely with senior architects to implement scalable and efficient data solutions. Your ...

As a Machine Learning Engineer II at 7-Eleven, you will collaborate with cross-functional teams and work closely with senior architects to implement scalable and efficient data solutions. Your ...

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Freelance Machine Learning Engineer information

See Texas salary details

$13

$44

$123

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

As of Aug 31, 2026, the average hourly pay for freelance machine learning engineer in Texas is $44.45, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $57.55 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 the most commonly searched types of Machine Learning Engineer jobs in Texas?

The most popular types of Machine Learning Engineer jobs in Texas are:

What are popular job titles related to Freelance Machine Learning Engineer jobs in Texas?

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

What job categories do people searching Freelance Machine Learning Engineer jobs in Texas look for?

The top searched job categories for Freelance Machine Learning Engineer jobs in Texas are:

What cities in Texas are hiring for Freelance Machine Learning Engineer jobs?

Cities in Texas with the most Freelance Machine Learning Engineer job openings:

Infographic showing various Freelance Machine Learning Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $92,448 per year, or $44.4 per hour.

Machine Learning Engineer

Cymertek Corporation

San Antonio, TX โ€ข On-site

Full-time

Re-posted 26 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:
โ€ข Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
โ€ข Ability to design, implement, and optimize machine learning models and workflows
โ€ข Experience working with large, complex datasets
โ€ข Knowledge of data preprocessing and feature engineering
โ€ข Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
โ€ข Strong problem-solving skills and analytical thinking
Qualifications:
Required:
โ€ข Bachelor's Degree
โ€ข Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
โ€ข Ability to design, implement, and optimize machine learning models and workflows
โ€ข Experience working with large, complex datasets
โ€ข Knowledge of data preprocessing and feature engineering
โ€ข Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
โ€ข Strong problem-solving skills and analytical thinking
โ€ข Proficiency in programming languages (e.g., Python, R, Java)
โ€ข Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
โ€ข Expertise in model evaluation techniques and metrics
โ€ข Strong knowledge of version control tools (e.g., Git)
โ€ข Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
โ€ข Understanding of database technologies (e.g., SQL, NoSQL)
Preferred:
โ€ข Experience with natural language processing (NLP)
โ€ข Knowledge of deep learning techniques (e.g., CNNs, RNNs)
โ€ข Familiarity with deployment tools (e.g., Docker, Kubernetes)
โ€ข Experience with data augmentation and synthetic data generation
โ€ข Ability to collaborate in cross-functional teams (e.g., engineers, product managers)
โ€ข Knowledge of edge computing and model optimization for deployment
Company:
With headquarters in Maryland, Cymertek [/'sฤซ-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.