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Senior Full Stack Machine Learning Engineer Jobs in Springtown, TX

The Purpose of Your Role As a software engineer, you will help us build the omni channel user experiences and the underlying platforms needed to support our digital presence. You'll work on building ...

The Purpose of Your Role As a software engineer, you will help us build the omni channel user experiences and the underlying platforms needed to support our digital presence. You'll work on building ...

Strong understanding of CI/CD tools such as Jenkins, Artifactory, Deploying applications in DevOps environment * Experience with API Design & Development and Microservices Architecture (Java, REST ...

Strong understanding of CI/CD tools such as Jenkins, Artifactory, Deploying applications in DevOps environment * Experience with API Design & Development and Microservices Architecture (Java, REST ...

... Engineering or related technical discipline, or equivalent experience/training • 4+ years of full Software Development Life Cycle (SDLC) experience designing, developing, and implementing ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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Senior Full Stack Machine Learning Engineer information

See Springtown, TX salary details

$36.3K

$109.9K

$155.3K

How much do senior full stack machine learning engineer jobs pay per year?

As of Jul 11, 2026, the average yearly pay for senior full stack machine learning engineer in Springtown, TX is $109,875.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,500.00 and $128,800.00 per year, depending on experience, location, and employer.

What is the difference between Senior Full Stack Machine Learning Engineer vs Data Scientist?

AspectSenior Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, integrates backend and frontendAnalyzes data, builds models, visualizes insights
Industry UsageTech, finance, healthcare, where deploying ML models is essentialResearch, analytics, consulting across various sectors

While both roles involve working with data and machine learning, the Senior Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, including frontend and backend integration. In contrast, Data Scientists primarily analyze data and develop models to generate insights. The engineer's role is more application-oriented, whereas the Data Scientist's role is more research and analysis-focused.

Machine Learning Operations Engineer II

CLA (CliftonLarsonAllen)

Fort Worth, TX • On-site

Full-time

Posted 17 days ago


Job description

Job Summary:
CLA is a top 10 national professional services firm dedicated to creating opportunities for clients, people, and communities. They are seeking a motivated Machine Learning Operations Engineer to assist in the design and development of MLOps infrastructure, collaborating with data scientists and engineers to ensure efficient deployment and monitoring of machine learning models.
Responsibilities:
• Assist with design and development of MLOps infrastructure to support the deployment, management, and monitoring of machine learning models within the firm.
• Collaborate with data scientists and engineers to ensure seamless integration of data science and engineering processes.
• Support maintenance of automated workflows and pipelines for efficient model deployment and monitoring.
• Troubleshoot and resolve any issues with model performance, data pipelines, or infrastructure.
• Assist with ensuring the security and scalability of the MLOps infrastructure to handle large volumes of data and models.
• Support maintenance of documentation for MLOps processes and systems.
• Collaborate with cross-functional teams to understand business needs and translate them into technical requirements.
• Ensure compliance with data security and privacy regulations.
• Stay up to date with industry trends and advancements in machine learning and MLOps.
Qualifications:
Required:
• 2+ years' experience as a Data/ML Engineer
• Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP)
• Basic understanding of SQL and experience with ETL pipeline design and maintenance
• Knowledge of CI/CD concepts and experience with tools like Jenkins, Git, Perforce, etc.
• Proficiency in programming languages such as Python
• Knowledge of data pipeline architecture and data transformation
• Knowledge of machine learning model deployment and management
• Familiarity with performance monitoring and optimization techniques
• Basic understanding of machine learning and DevOps principles
Company:
CLA exists to create opportunities for our clients, our people, and our communities through industry-focused wealth advisory, outsourcing, audit, tax, and consulting services. Founded in 1998, the company is headquartered in Alpharetta, USA, with a team of 5001-10000 employees. The company is currently Late Stage.