Machine Learning Jobs in Dallas, TX
Machine learning jobs in Dallas, Texas are concentrated in Uptown, the Telecom Corridor in Richardson, and the Platinum Corridor in Plano, with strong demand across financial services, healthcare technology, and telecommunications. Employers actively hiring include GEICO, DEPLOY, and AppFolio. See the openings below and apply to the ones that match your experience.
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Showing 5 of 129+ Machine Learning jobs
DESCRIPTION
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to serve as a technical builder for large-scale Healthcare and Life Sciences (HCLS) transformation programs. In this role as an individual contributor, you'll work closely with customers to design, implement, and manage AWS AI ML solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing hands-on technical builds and best practices throughout the project lifecycle.
You will bring a "T-shaped" profile: proficiency across AI/ML, architecture modernization, and data engineering, paired with distinctive expertise in one of these technical areas. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. This role requires approximately 50% co-location on site with customer, AWS and partner teams within the U.S.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
Designing, implementing, and engineering complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies
Acting as a trusted advisor to customers on industry trends and emerging technologies
Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneeredcloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companiestrust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
10044
BASIC QUALIFICATIONS
- 3+ years of cloud architecture and solution implementation experience
- Knowledge of the primary aws services (ec2, elb, rds, route53 & s3)
- Experience implementing AWS services in a variety of distributed computing environments
PREFERRED QUALIFICATIONS
- 5+ years of IT implementation experience
- degree in advanced technology, or AWS Professional level certification
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Knowledge of security and compliance standards including HIPAA and GDPR
- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience
- Experience in performance optimization and cost management for cloud environments
- Experience presenting technical solutions to diverse audiences in pre-sales environments
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, San Francisco - 151,000.00 - 204,300.00 USD annually
USA, NC, Raleigh - 131,300.00 - 177,600.00 USD annually
USA, NY, New York - 144,500.00 - 195,400.00 USD annually
USA, TX, Dallas - 131,300.00 - 177,600.00 USD annually
DESCRIPTION
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to serve as a technical builder for large-scale Healthcare and Life Sciences (HCLS) transformation programs. In this role as an individual contributor, you'll work closely with customers to design, implement, and manage AWS AI ML solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing hands-on technical builds and best practices throughout the project lifecycle.
You will bring a "T-shaped" profile: proficiency across AI/ML, architecture modernization, and data engineering, paired with distinctive expertise in one of these technical areas. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. This role requires approximately 50% co-location on site with customer, AWS and partner teams within the U.S.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
Designing, implementing, and engineering complex, scalable, and secure GenAI and ML applications and models built on AWS tailored to customer needs
Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies
Acting as a trusted advisor to customers on industry trends and emerging technologies
Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneeredcloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companiestrust our robust suite of products and services to power their businesses.
Inclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
10044
BASIC QUALIFICATIONS
- 3+ years of cloud architecture and solution implementation experience
- Knowledge of the primary aws services (ec2, elb, rds, route53 & s3)
- Experience implementing AWS services in a variety of distributed computing environments
PREFERRED QUALIFICATIONS
- 5+ years of IT implementation experience
- degree in advanced technology, or AWS Professional level certification
- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies
- Knowledge of security and compliance standards including HIPAA and GDPR
- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience
- Experience in performance optimization and cost management for cloud environments
- Experience presenting technical solutions to diverse audiences in pre-sales environments
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, CA, San Francisco - 151,000.00 - 204,300.00 USD annually
USA, NC, Raleigh - 131,300.00 - 177,600.00 USD annually
USA, NY, New York - 144,500.00 - 195,400.00 USD annually
USA, TX, Dallas - 131,300.00 - 177,600.00 USD annually
See All 129+ Machine Learning Jobs in Dallas
Find roles in Dallas that match your experience and apply in just a few clicks.
Find Machine Learning JobsMachine Learning Job Market in Dallas
Who's Hiring
- GEICO13
- DEPLOY13
- AppFolio13
- JustPark13
- Goldman Sachs13
Top Industries Hiring
- Technology & Software13
- Banking & Financial Services13
- Investment & Asset Management13
Machine Learning Jobs in Dallas: Frequently Asked Questions
How do I get a machine learning job in Dallas?
The strongest entry point in Dallas is targeting the city's dense fintech and financial services sector, clustered downtown and in Uptown, alongside the healthcare technology companies anchored near the Medical District. Candidates who demonstrate experience with production model deployment and MLOps tools stand out here. Building a portfolio on real datasets relevant to financial risk or patient analytics gives you a concrete edge with Dallas hiring managers.
Which companies hire machine learnings in Dallas?
Companies currently hiring machine learnings in Dallas include GEICO, DEPLOY, and AppFolio, per current listings on Migrate Mate as of September 2026. Dallas draws a mix of large enterprise employers in financial services and telecommunications alongside fast-growing health tech firms and regional retail chains building out their data science capabilities.
Are there remote machine learning jobs in Dallas?
Yes, machine learning roles skew more remote-friendly than most technical jobs because the core work, model development, experimentation, and analysis, is computer-based and asynchronous. About 50% of machine learning openings tied to Dallas are remote or hybrid as of September 2026, with fully remote options most common in the analytics and NLP-focused roles rather than embedded systems or real-time inference work.
How can I get a machine learning job in Dallas with little or no experience?
The most realistic entry path in Dallas is targeting junior data scientist or ML engineer roles at mid-size fintech startups in Uptown or the Frisco tech corridor, where teams are lean and new hires get hands-on production exposure quickly. Community college or UT Dallas certificate programs in data science can strengthen a resume for entry-level roles. Contributing to open-source ML projects and building a GitHub portfolio tailored to financial or healthcare data catches attention from Dallas recruiters.
Which industries hire the most machine learnings in Dallas?
Dallas machine learning roles concentrate in Technology & Software, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of September 2026. Dallas's position as a major hub for banking and insurance headquarters, a growing health system network, and legacy telecom infrastructure creates sustained demand for machine learning talent across all three sectors.
See All 129+ Machine Learning Jobs in Dallas
Find roles in Dallas that match your experience and apply in just a few clicks.
Find Machine Learning Jobs