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Machine Learning Engineer Jobs in Texas (NOW HIRING)

Diverse Lynx

Machine Learning Engineer

Dallas, TX · On-site

Diverse Lynx LLC is seeking a Machine Learning Engineer with extensive experience in software development and machine learning systems. The role involves designing, architecting, and deploying ...

Neuralink

Machine Learning Engineer

Austin, TX · On-site

$199K - $331K/yr

Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop ...

Yum Brands

Machine Learning Engineer II

Plano, TX

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting-edge machine learning models and solutions to enhance various aspects of our business operations, from ...

Neuralink

Machine Learning Engineer

Austin, TX

Engineers on the BCI team utilize signal processing and machine learning to communicate with the brain. You will have access to the most cutting-edge neural interface hardware and develop ...

Ascentt

Senior Machine Learning Engineer

Plano, TX · On-site

$100K - $137K/yr

Senior Machine Learning Engineer Location: Ann Arbor, Michigan Experience Level: 7+ Years Department: Data Science / Engineering Employment Type: Full-time About the Role: We are looking for an ...

Intuit

Staff Machine Learning Engineer

Plano, TX

Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll work alongside AI scientists and machine learning engineers to create AI-powered experiences. You'll be expected to help ...

Intuit

Staff Machine Learning Engineer

Plano, TX

Overview Come join Intuit as a Staff Machine Learning Engineer! In this role, you'll work alongside AI scientists and machine learning engineers to create AI-powered experiences. You'll be expected ...

Oxy

AI Machine Learning Engineer

Houston, TX · On-site

We are looking for an experienced and innovative individual contributor to fill the position of AI Machine Learning Engineer within our AI Center of Excellence group based in Houston, TX. The ...

Q2

Machine Learning Engineer

Austin, TX · Hybrid

Summary The Machine Learning Engineer designs and evolves enterprise AI systems and architectures that enable scalable, secure, and high-impact adoption across the organization. This role defines end ...

Q2 Software, Inc.

Machine Learning Engineer

Austin, TX · On-site

Summary The Machine Learning Engineer designs and evolves enterprise AI systems and architectures that enable scalable, secure, and high-impact adoption across the organization. This role defines end ...

CVS Health

Machine Learning Engineer

Irving, TX · On-site +1

$96K - $144K/yr

Caremark LLC, a CVS Health company, is hiring for the following role in Irving, TX: Machine Learning Engineer to Design, develop, and implement enterprise ML products and platforms for data ...

webAI

Staff Machine Learning Engineer

Austin, TX · On-site

They are seeking an experienced Staff Machine Learning Engineer with a strong background in Large Language Models and Mixture of Experts to lead the development and optimization of advanced AI models ...

CVS Health

Machine Learning Engineer

Irving, TX · On-site +1

$96K - $144K/yr

Aetna Resources, LLC., a CVS Health company, is hiring for the following role in Irving, TX: Machine Learning Engineer to build, deploy, and monitor artificial intelligence (AI)/machine learning (ML ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Texas

Machine Learning Engineer information

See Texas salary details

$29.3K

$120K

$180.3K

How much do machine learning engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for machine learning engineer in Texas is $119,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,600.00 and $144,400.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Texas? The most popular types of Machine Learning Engineer jobs in Texas are:
What are popular job titles related to Machine Learning Engineer jobs in Texas? For Machine Learning Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Texas look for? The top searched job categories for Machine Learning Engineer jobs in Texas are:
What cities in Texas are hiring for Machine Learning Engineer jobs? Cities in Texas with the most Machine Learning Engineer job openings:
What are popular job titles related to Machine Learning Engineer jobs in TX? For Machine Learning Engineer jobs in TX, the most frequently searched job titles are:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Texas as of June 2026, with employment types broken down into 1% As Needed, 93% Full Time, 3% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $119,968 per year, or $57.7 per hour.
Machine Learning Engineer

Machine Learning Engineer

Diverse Lynx

Dallas, TX • On-site

Full-time

Posted 9 days ago

Job description

Job Summary:
Diverse Lynx LLC is seeking a Machine Learning Engineer with extensive experience in software development and machine learning systems. The role involves designing, architecting, and deploying production ML systems while collaborating with global teams to deliver impactful solutions.
Responsibilities:
• 1.5+ years of software development in one or more languages (Python| C/C++| Go| Java);
• strong hands-on experience building and maintaining large-scale Python applications preferred.
• 2.3+ years designing| architecting| testing| and launching production ML systems|
• including model deployment/serving| evaluation and monitoring| data processing pipelines| and model fine-tuning workflows.
• 3.Practical experience with Large Language Models (LLMs): API integration| prompt engineering| fine-tuning/adaptation| and building applications using RAG and tool-using agents (vector retrieval| function calling| secure tool execution).
• 4.Understanding of different LLMs| both commercial and open source| and their capabilities (e.g.| OpenAI| Gemini| Llama| Qwen| Claude).
• 5.Solid grasp of applied statistics| core ML concepts| algorithms| and data structures to deliver efficient and reliable solutions.
• 6.Strong analytical problem-solving| ownership| and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact.
• 7.Preferred:Proficiency building and operating on cloud infrastructure (ideally AWS)| including containerized services (ECS/EKS)| serverless (Lambda)| data services (S3| DynamoDB| Redshift)| orchestration (Step Functions)| model serving (SageMaker)| and infra-as-code (Terraform/CloudFormation).
Qualifications:
Required:
• 1.5+ years of software development in one or more languages (Python| C/C++| Go| Java)
• strong hands-on experience building and maintaining large-scale Python applications preferred
• 2.3+ years designing| architecting| testing| and launching production ML systems| including model deployment/serving| evaluation and monitoring| data processing pipelines| and model fine-tuning workflows
• Practical experience with Large Language Models (LLMs): API integration| prompt engineering| fine-tuning/adaptation| and building applications using RAG and tool-using agents (vector retrieval| function calling| secure tool execution)
• Understanding of different LLMs| both commercial and open source| and their capabilities (e.g.| OpenAI| Gemini| Llama| Qwen| Claude)
• Solid grasp of applied statistics| core ML concepts| algorithms| and data structures to deliver efficient and reliable solutions
• Strong analytical problem-solving| ownership| and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact
Preferred:
• Proficiency building and operating on cloud infrastructure (ideally AWS)
• including containerized services (ECS/EKS)
• serverless (Lambda)
• data services (S3| DynamoDB| Redshift)
• orchestration (Step Functions)
• model serving (SageMaker)
• and infra-as-code (Terraform/CloudFormation)
Company:
Diverse Lynx is a WBENC- and NMSDC-certified partner, helping organizations turn diversity goals into measurable impact through staffing and contingent workforce solutions. Founded in 2002, the company is headquartered in Princeton, New Jersey, US, , with a team of 1001-5000 employees. The company is currently Late Stage.
Diverse Lynx logo

About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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