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Machine Learning Software Engineer Jobs in Dallas, TX

Omni Inclusive

Machine Learning

Dallas, TX

Machine Learning - Decision Trees, Random Forests, Rule Mining, Clustering, PCA, Support Vector ... Programming & Scripting - Python, R, Unix-Shell scripting, PySpark

Seven Seven Software

Software Engineer

Plano, TX · On-site

Leads communities of practice across Software Engineering to drive awareness and use of new and ... intelligence, machine learning, mobile, etc.) * In-depth knowledge of the financial services ...

Capital One

Lead Machine Learning Engineer

Plano, TX · On-site +1

$98K - $129K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Collaborate as part of a cross-functional Agile team to create and enhance software that enables ...

Apex Informatics

Sr. Software Engineer - AI

Irving, TX · On-site

$117K - $155K/yr

Stay current with emerging technologies and trends in AI, machine learning, and software engineering. Required Qualifications * Bachelor's or Master's degree in Computer Science, Engineering, or ...

Tiger Analytics

Machine Learning Engineer

Plano, TX · On-site

Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join ... Required Skills & Experience: * 5+ years of hands-on software development experience with Python

Photon

Machine Learning Engineer - NJ

Dallas, TX

Machine Learning Engineer We are seeking a Machine Learning Engineer to design and develop robust analytics models using statistical and machine learning algorithms. In this role, you will work ...

CGI

Machine Learning Operations Engineer

Dallas, TX

$113K - $136K/yr

... engineering pipelines and maintaining machine learning models in production environments. Desired ... Required qualifications to be successful in this role . 6+ years of experience in software ...

SynergisticIT

Remote Software Engineer

Dallas, TX

We want data science/machine learning/data analyst and Java full stack candidates. For data science ... Experience in programming language Java and understanding of the software development life cycle

Dtcc

Lead Software Engineer

Dallas, TX · Hybrid

Lead Software Engineer Are you ready to make an impact at DTCC? Do you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional ...

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Machine Learning Software Engineer information

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$62.8K

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$203.4K

How much do machine learning software engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for machine learning software engineer in Dallas, TX is $145,997.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,800.00 and $171,200.00 per year, depending on experience, location, and employer.

What does a Machine Learning Software Engineer do?

A Machine Learning Software Engineer designs, develops, and deploys machine learning models within software applications. They work on data preprocessing, model training, optimization, and integration into production systems. Their role requires expertise in programming (Python, Java, or C++), machine learning frameworks (TensorFlow, PyTorch, or Scikit-learn), and cloud platforms. They collaborate with data scientists and software engineers to build scalable ML solutions.

What are the key skills and qualifications needed to thrive in the Machine Learning Software Engineer position, and why are they important?

To thrive as a Machine Learning Software Engineer, you need a solid understanding of programming (especially Python), algorithms, data structures, and mathematics, ideally backed by a degree in computer science, engineering, or a related field. Experience with frameworks such as TensorFlow or PyTorch, familiarity with cloud platforms (AWS, Azure, or GCP), and relevant certifications in data science or machine learning are highly valuable. Strong problem-solving skills, effective communication, and the ability to work collaboratively with cross-functional teams set outstanding candidates apart. These competencies are crucial for building deployable, scalable, and maintainable machine learning solutions that address real business challenges.

What are the day-to-day responsibilities of a Machine Learning Software Engineer?

As a Machine Learning Software Engineer, your daily tasks typically include developing and optimizing machine learning models, collaborating with data scientists and product teams to define requirements, and integrating models into production systems. You’ll work extensively with large datasets to preprocess, analyze, and validate data, as well as monitor model performance and iterate on solutions when needed. It's common to participate in code reviews, contribute to architectural decisions, and maintain documentation for reproducibility and knowledge sharing. This role offers a dynamic and intellectually stimulating environment, making it ideal for those who enjoy solving complex technical problems and working at the intersection of engineering and data science.

What are the most commonly searched types of Machine Learning Software Engineer jobs in Dallas, TX? The most popular types of Machine Learning Software Engineer jobs in Dallas, TX are:
What are popular job titles related to Machine Learning Software Engineer jobs in Dallas, TX? For Machine Learning Software Engineer jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Software Engineer jobs in Dallas, TX look for? The top searched job categories for Machine Learning Software Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Machine Learning Software Engineer jobs? Cities near Dallas, TX with the most Machine Learning Software Engineer job openings:
Machine Learning Software Engineer jobs near you

Machine Learning

Omni Inclusive

Dallas, TX

Other

Posted 3 days ago

Job description

Job Title

Skill: At least 3 years of experience on the following:

  • Machine Learning – Decision Trees, Random Forests, Rule Mining, Clustering, PCA, Support Vector Machine, Ensemble techniques
  • Deep Learning - Neural networks, multilayer perceptron, word embeddings, categorical embedding, RNN and LSTM, word2vec, encoder/decoder models, attention and transformer models, transfer learning (ULMFiT), foundation models from Azure Open AI
  • Database - Snowflake, Oracle, Graph database
  • Programming & Scripting - Python, R, Unix-Shell scripting, PySpark

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