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Software Engineer Ml Jobs in Texas (NOW HIRING)

Paradigm

Senior ML Ops Engineer

Irving, TX · On-site

$140 - $200/hr

Paradigm is a software company transforming the way that the residential, construction & building product industries operate across the globe. We are looking for a Senior ML Ops Engineer to be part ...

WTS Paradigm LLC

Senior ML Ops Engineer

Irving, TX · On-site

$123K - $170K/yr

Paradigm is a software company transforming the way that the residential, construction & building product industries operate across the globe. We are looking for a Senior ML Ops Engineer to be part ...

webAI

AI Software Engineer

Austin, TX · On-site

Required : • 5+ years in Software Engineering or equivalent university time with a deep experience that matches WIL objectives to include with a focus on ML-specific systems and distributed ...

Promantus, Inc

ML Engineer

Plano, TX · On-site

$110K - $132K/yr

This role is ML Engineering with hands-on software engineering skills using Python, PySpark, and Databricks. * Strong Python, Databricks, and PySpark experience with Spark, Kafka, Snowflake, MongoDB ...

Essilor

Data & ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

GENERAL FUNCTION The Data & ML Engineer is a self-sufficient engineering professional responsible for designing, building, and operating scalable, secure, and reliable data and machine learning ...

Neuralink

Software Engineer, BCI Applications

Austin, TX · On-site

$150K - $281K/yr

The work in the team is multidisciplinary and team members have diverse backgrounds in software engineers, design engineering, ML engineering and neuro-engineering. and Responsibilities: As a ...

EssilorLuxottica

Data & ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

GENERAL FUNCTION The Data & ML Engineer is a self-sufficient engineering professional responsible for designing, building, and operating scalable, secure, and reliable data and machine learning ...

InterImage

Software Engineer

Arlington, TX · On-site

$85 - $130/hr

Research and evaluate new AI/ML frameworks, tools, and technologies * Contribute to cloud-native ... Bachelor's degree in Computer Science, Software Engineering, Information Systems, Cybersecurity ...

EssilorLuxottica Group

Data & ML Engineer

Dallas, TX · On-site

$113K - $136K/yr

GENERAL FUNCTION The Data & ML Engineer is a self-sufficient engineering professional responsible for designing, building, and operating scalable, secure, and reliable data and machine learning ...

PICTOR LABS INC

Senior Software Engineer

Austin, TX

$118K - $156K/yr

Architect and implement containerized AI/ML inference pipelines for deployment on both cloud ... Engineering, Mathematics, or related field * 5-7 years of software development experience building ...

Mia

Software Engineer (AI/ML)

Austin, TX · On-site

$110 - $170/hr

About the Role We're hiring a Software Engineer (AI/ML) to work on our voice AI platform, the real-time pipeline of speech-to-text, LLM reasoning, and text-to-speech that powers every call. You'll ...

THOMSON REUTERS

Lead Software Engineer, AI

Frisco, TX · Hybrid

Proven track record as a software engineer with AI expertise (not primarily a data scientist or ML researcher), with experience in Generative AI or RAG or LLMs - including solution discovery ...

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All JobsSoftware Engineer Ml JobsSoftware Engineer Ml Jobs in Texas

Software Engineer Ml information

See Texas salary details

$59.2K

$137.4K

$191.5K

How much do software engineer ml jobs pay per year?

As of Sep 3, 2026, the average yearly pay for software engineer ml in Texas is $137,441.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $161,200.00 per year, depending on experience, location, and employer.

What does a software engineer ML do?

A Software Engineer, ML (Machine Learning) designs, develops, and deploys software systems that use machine learning algorithms to solve complex problems. They work on tasks such as building data pipelines, training and testing machine learning models, and integrating these models into production applications. They collaborate closely with data scientists, product managers, and other engineers to ensure that ML systems are scalable, efficient, and meet business objectives. Their work often involves programming, data analysis, and staying up-to-date with the latest developments in AI and machine learning.

What are the key skills and qualifications needed to thrive as a software engineer ML?

To thrive as a Software Engineer ML, you need strong proficiency in programming (especially Python), algorithms, machine learning theory, and a relevant degree in computer science or a related field. Experience with ML frameworks like TensorFlow or PyTorch, and familiarity with cloud computing platforms and version control systems are typically required. Analytical thinking, problem-solving, and effective communication skills help you stand out in collaborative and complex project environments. These skills are vital to efficiently develop, deploy, and maintain robust machine learning solutions that drive business value.

What are some common challenges faced by software engineers working in machine learning, and how can they be addressed?

Software Engineers in Machine Learning often encounter challenges such as managing large datasets, ensuring model accuracy, and keeping up with rapidly evolving frameworks and tools. Collaboration with data scientists and domain experts is essential to align technical solutions with business goals. Staying current through continuous learning and leveraging cloud-based platforms or MLOps practices can help streamline workflows and improve model deployment. Additionally, effective communication within cross-functional teams is crucial for addressing both technical and non-technical challenges.

What are popular job titles related to Software Engineer Ml jobs in Texas?

For Software Engineer Ml jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Software Engineer Ml jobs in Texas look for?

The top searched job categories for Software Engineer Ml jobs in Texas are:

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Software Engineer Ml jobs near you
Infographic showing various Software Engineer Ml job openings in Texas as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, 5% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $137,441 per year, or $66.1 per hour.

Senior ML Ops Engineer

Paradigm

Irving, TX • On-site

$140 - $200/hr

Other

Re-posted 15 days ago

Job description

Paradigm is a software company transforming the way that the residential, construction & building product industries operate across the globe. We are looking for a Senior ML Ops Engineer to be part of revolutionizing these industries. We are building the future with modern software engineering, agent-assisted systems, and mobile-first experiences. We are powered by our parent company, Builders FirstSource (NYSE: BLDR): a Fortune 300 company with over $23 billion in revenue and more than 29,000 employees across 550+ locations, BFS is redefining construction through data, digital infrastructure, and AI-powered innovation.

What You Will Do
  • Design, build, and maintain scalable MLOps solutions that support the end-to-end machine learning lifecycle, including model training, deployment, monitoring, and retraining.
  • Develop and optimize automated ML deployment pipelines, ensuring reliable, reproducible, and efficient model delivery to production environments.
  • Deploy and support machine learning models and AI solutions in production, maintaining best practices for scalability, reliability, security, and operational excellence.
  • Implement and maintain model registries, experiment tracking, versioning, and governance practices to support consistent model lifecycle management.
  • Build and support containerized ML workloads and deployment workflows using technologies such as Docker and Kubernetes.
  • Develop monitoring, observability, and alerting capabilities for machine learning systems, including model performance tracking, drift detection, and data quality monitoring.
  • Collaborate with Machine Learning Engineers, Data Scientists, Software Engineers, and Infrastructure teams to operationalize ML solutions and improve deployment efficiency.
  • Implement and maintain IaC patterns using Terraform.
  • Troubleshoot and resolve complex technical challenges related to model deployment, ML infrastructure, and production operations.
  • Provide guidance and mentorship to other engineers.
What You Need to Succeed
  • Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence or related field or equivalent experience.
  • 4+ years of professional experience in software engineering, machine learning engineering, MLOps, platform engineering, DevOps, or a related technical discipline.
  • Strong understanding of the machine learning lifecycle, including model training, validation, deployment, monitoring, and retraining.
  • Experience building and maintaining automated machine learning pipelines and CI/CD workflows.
  • Experience with MLOps platforms and tools such as MLflow, Kubeflow, Azure Machine Learning, Databricks, or similar technologies.
  • Experience in Python programming, ML Framework and Agentic AI. Implemented model monitoring, experiment tracking, model versioning, and governance practices.
  • Experience working with cloud-based machine learning solutions, preferably within Azure.
  • Ability to independently solve complex technical challenges, make sound decisions with minimal guidance, and drive work to completion.

Ready to Join? Apply now at myparadigm.com/careers/

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