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Machine Learning Engineer Jobs in San Antonio, TX

Cymertek

Machine Learning Engineer

San Antonio, TX ยท On-site

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 ...

USAA

Senior AI & Machine Learning Engineer

San Antonio, TX ยท On-site

$143K - $273K/yr

The Opportunity The Senior Artificial Intelligence and Machine Learning Engineer will be part of a dedicated AI engineering team that focuses on developing and implementing AI/ML solutions for all ...

USAA

Senior AI & Machine Learning Engineer

San Antonio, TX ยท On-site +1

$143K - $273K/yr

The Opportunity The Senior Artificial Intelligence and Machine Learning Engineer will be part of a dedicated AI engineering team that focuses on developing and implementing AI/ML solutions for all ...

USAA

Senior AI & Machine Learning Engineer

San Antonio, TX ยท On-site +1

$143K - $273K/yr

The Opportunity The Senior Artificial Intelligence and Machine Learning Engineer will be part of a dedicated AI engineering team that focuses on developing and implementing AI/ML solutions for all ...

Cymertek Corporation

AI/ML Engineer

San Antonio, TX ยท On-site

$90 - $150/hr

SIMILAR CAREER TITLES Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist, Deep Learning Engineer, NLP Engineer, Computer Vision Engineer, AI Research Scientist, Robotics ...

New

Cymertek

AI/ML Engineer

San Antonio, TX ยท On-site

SIMILAR CAREER TITLES Machine Learning Engineer, Artificial Intelligence Engineer, Data Scientist, Deep Learning Engineer, NLP Engineer, Computer Vision Engineer, AI Research Scientist, Robotics ...

Vericast

AI Engineer III

San Antonio, TX

$120K - $140K/yr

Strong hands-on expertise in machine learning frameworks, agentic AI architecture, and cloud computing platforms * Proven ability to lead technical delivery and mentor engineers in a fast-paced ...

Vericast

AI Engineer III

San Antonio, TX ยท On-site +1

$120K - $140K/yr

Strong hands-on expertise in machine learning frameworks, agentic AI architecture, and cloud computing platforms * Proven ability to lead technical delivery and mentor engineers in a fast-paced ...

SWBC

AI Engineer

San Antonio, TX ยท On-site

As an AI Engineer, you will play a key role in helping SWBC accelerate its AI initiatives by ... Deploy AI and machine learning models into production environments while ensuring reliability ...

SWBC

AI Engineer

San Antonio, TX ยท On-site

As an AI Engineer, you will play a key role in helping SWBC accelerate its AI initiatives by ... Deploy AI and machine learning models into production environments while ensuring reliability ...

Swbc

AI Engineer

San Antonio, TX ยท On-site

As an AI Engineer, you will play a key role in helping SWBC accelerate its AI initiatives by ... Deploy AI and machine learning models into production environments while ensuring reliability ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in San Antonio, TX

Machine Learning Engineer information

See San Antonio, TX salary details

$28.6K

$117.1K

$175.9K

How much do machine learning engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for machine learning engineer in San Antonio, TX is $117,072.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $140,900.00 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 the most commonly searched types of Machine Learning Engineer jobs in San Antonio, TX?

The most popular types of Machine Learning Engineer jobs in San Antonio, TX are:

What are popular job titles related to Machine Learning Engineer jobs in San Antonio, TX?

For Machine Learning Engineer jobs in San Antonio, TX, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in San Antonio, TX look for?

The top searched job categories for Machine Learning Engineer jobs in San Antonio, TX are:

What cities near San Antonio, TX are hiring for Machine Learning Engineer jobs?

Cities near San Antonio, TX with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in San Antonio, TX as of August 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution, with an average salary of $117,072 per year, or $56.3 per hour.

Machine Learning Engineer

Cymertek Corporation

San Antonio, TX โ€ข On-site

Full-time

Re-posted 16 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.

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