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Sr Machine Learning Engineer Jobs in Dallas, TX (NOW HIRING)

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Job Summary : Resolve Tech Solutions is seeking a Senior ML Engineer to develop machine learning models and algorithms that address business needs. The role involves collaborating with data ...

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Develop machine learning models and algorithms to address business needs. Collaborate with data scientists and software engineers to design and implement scalable and efficient solutions. Clean ...

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Responsibilities: • Develop machine learning models and algorithms to address business needs. • Collaborate with data scientists and software engineers to design and implement scalable and ...

... ML engineering, or related roles, with demonstrated experience in building and integrating production-grade systems * Bachelor's degree in Computer Science, Machine Learning, Data Science, or a ...

Showing results 41-60

Sr Machine Learning Engineer information

See Dallas, TX salary details

$58.9K

$125.2K

$181.5K

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

As of Aug 11, 2026, the average yearly pay for sr machine learning engineer in Dallas, TX is $125,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $142,000.00 per year, depending on experience, location, and employer.

What is the difference between Sr Machine Learning Engineer vs Data Scientist?

AspectSr Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, ML, or related fields; experience with ML frameworksBachelor's/Master's/PhD in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds models, interprets data insights for business
Industry UsageTech, finance, healthcare, e-commerceResearch, marketing, finance, tech

While both roles involve working with data and models, Sr Machine Learning Engineers focus on building and deploying scalable ML systems, whereas Data Scientists primarily analyze data and develop insights. The roles often overlap but differ in technical focus and responsibilities.

How does a Sr Machine Learning Engineer typically collaborate with data scientists and software engineers within a project team?

Sr Machine Learning Engineers frequently act as a bridge between data scientists, who focus on model development and experimentation, and software engineers, who handle system integration and production deployment. They translate prototype models into scalable, production-ready solutions, ensuring that models are optimized for real-world performance. Collaboration often involves reviewing code, aligning on data pipeline requirements, and participating in regular team meetings to address technical and business objectives. This cross-functional teamwork is essential for delivering reliable machine learning products.

What is a Sr Machine Learning Engineer?

Senior Machine Learning Engineers are experienced professionals who design, develop, and implement machine learning models and systems. They work on complex problems, lead technical projects, and often mentor junior engineers. Their responsibilities include data preprocessing, model selection, algorithm development, and optimizing solutions for scalability and performance. Senior ML Engineers also collaborate closely with data scientists, software engineers, and stakeholders to integrate machine learning into products and services.

What are the key skills and qualifications needed to thrive as a Sr Machine Learning Engineer?

To thrive as a Sr Machine Learning Engineer, you need advanced expertise in machine learning theory, programming (Python, R), data modeling, and a strong background in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, cloud platforms (AWS, GCP), and relevant certifications (like TensorFlow Developer) is highly beneficial. Strong problem-solving skills, effective communication, and the ability to lead and mentor teams set top candidates apart. These skills ensure the ability to design scalable ML solutions, collaborate effectively, and drive impactful business outcomes.
What job categories do people searching Sr Machine Learning Engineer jobs in Dallas, TX look for? The top searched job categories for Sr Machine Learning Engineer jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Sr Machine Learning Engineer jobs? Cities near Dallas, TX with the most Sr Machine Learning Engineer job openings:
Infographic showing various Sr Machine Learning Engineer job openings in Dallas, TX as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $125,194 per year, or $60.2 per hour.

Machine Learning Engineer, Senior Associate

JPMorgan Chase & Co

Plano, TX • On-site

$114K - $151K/yr

Full-time

Medical, Retirement

Posted 13 days ago


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

72nd of 171 rated banks


Job description

Shape the future of technology and drive significant business impact in financial services. Join our team and help us develop game changing, high-quality solutions.
 

As a AI/ML Engineer Senior Associate within Banking & Wealth Management, Consumer & Community banking Home Lending Technology team, you will be tasked with the design, construction, and maintenance of our AIOps solution. This role demands a profound knowledge of AI/ML technologies, IT infrastructure, and platform engineering.

Job Responsibilities:

  • Lead the design, development, and deployment of generative AI solutions, ensuring alignment with business objectives and technical requirements. 
  • Demonstrate deep expertise in generative AI technologies, contributing to the development of POCs and evaluating new methodologies to enhance AI capabilities.
  • Exhibit strong proficiency in Java or Python, with the ability to architect and build complex AI models from scratch. Ensure the delivery of secure, high-quality production code and utilize experience with React or Angular to create intuitive user interfaces for AI applications. Conduct thorough code reviews to maintain high standards of code quality.
  • Leverage AWS experience to implement best practices in AI integration, ensuring quality, security, and efficiency across AI projects.
    Identify and implement opportunities to automate processes and enhance the operational stability of generative AI applications and systems.
  • Actively participate in communities of practice to promote the adoption and awareness of new generative AI technologies, fostering a culture of continuous innovation.

Required qualifications, capabilities, and skills:

  • Minimum 5+ years of strong proficiency in Python or Java, with the ability to architect and build complex AI models from scratch.
  • Two years of experience in generative AI development and prompt engineering.
  • Proven experience in system design, application development, testing, and operational stability in AI projects.
  • Minimum 5+ years of strong experience with React or Angular with minimum 2+ years of AWS experience.
  • Understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, applied to AI projects.
  • Experience with LLM models and agentic tools.

Preferred qualifications, capabilities, and skills:

  • Experience with AI model optimization and performance tuning to ensure efficient and scalable AI solutions.
  • Familiarity with data engineering practices to support AI model training and deployment.
  • Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning with experience with AI/ML libraries and tools such as TensorFlow, PyTorch, Scikit-learn, and Keras.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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