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Machine Learning Consultant Jobs in Texas (NOW HIRING)

Machine Learning Engineer LOCATIONSan Antonio, TX 78208 CLEARANCETS/SCI Full Poly (Please note this ... We are a growing small business and a trusted federal contractor offering full scope consulting ...

Machine Learning Engineer LOCATION San Antonio, TX 78208 CLEARANCE TS/SCI Full Poly (Please note ... We are a growing small business and a trusted federal contractor offering full scope consulting ...

As an Machine Learning AI Development Manager for the AEC Solutions group, you will lead your team ... Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply ...

Tiger Analytics is looking for experienced Machine Learning Engineer with Gen AI experience to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Machine ...

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Machine Learning Consultant information

See Texas salary details

$9

$53

$88

How much do machine learning consultant jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for machine learning consultant in Texas is $53.12, according to ZipRecruiter salary data. Most workers in this role earn between $37.63 and $73.14 per hour, depending on experience, location, and employer.

What does a Machine Learning Consultant do?

A Machine Learning Consultant helps businesses implement AI and machine learning solutions to improve decision-making, automate processes, and enhance efficiency. They analyze data, develop models, and provide strategic recommendations tailored to a company's needs. Their role often involves working with engineers, data scientists, and stakeholders to integrate machine learning into existing systems.

What does a machine learning consultant do?

A machine learning consultant designs, develops, and implements machine learning models to solve business problems. They analyze data, select appropriate algorithms, and use tools like Python or R to create predictive systems, often working closely with data scientists and engineers. Their role involves understanding client needs, optimizing models, and ensuring deployment and performance of machine learning solutions.

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

To thrive as a Machine Learning Consultant, you need strong expertise in machine learning algorithms, data analysis, and programming skills—typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and cloud platforms, as well as relevant certifications like AWS Certified Machine Learning or TensorFlow Developer, are highly beneficial. Excellent communication, problem-solving, and project management skills help consultants translate complex technical concepts for clients and efficiently drive projects. These skills and qualities are crucial for delivering effective machine learning solutions that address business needs and foster client trust.

How much does a machine learning consultant make?

A machine learning consultant's salary varies based on experience, location, and industry, but typically ranges from $80,000 to $150,000 annually. Senior consultants with specialized skills in data modeling and programming can earn higher salaries, especially when working with advanced tools like Python, TensorFlow, or cloud platforms.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and deploy AI models, and while AI automation tools can handle certain tasks, MLEs are essential for creating complex, customized solutions and maintaining AI systems. The role is evolving with advancements in AI, but human expertise remains critical for innovation, troubleshooting, and ethical considerations.

What is a $900000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as AI executives, senior machine learning engineers, or data science directors with extensive experience and specialized skills. These positions often involve leadership, strategic decision-making, and advanced expertise in AI tools and frameworks, and they usually require advanced degrees and certifications. Compensation at this level reflects significant responsibility and impact within organizations focused on AI development and deployment.

What does a typical project look like for a Machine Learning Consultant?

As a Machine Learning Consultant, your projects often begin with collaborating closely with clients to understand their data challenges and business goals. You might be tasked with activities such as setting up data pipelines, selecting and training machine learning models, and presenting actionable insights. Projects can vary in length and scope, ranging from short-term advisory engagements to long-term implementations, and often involve teamwork with data engineers, business analysts, and IT departments. This dynamic environment means you need to balance hands-on technical work with client-facing responsibilities, ensuring successful delivery and measurable impact.

What are the most commonly searched types of Machine Learning Consultant jobs in Texas? The most popular types of Machine Learning Consultant jobs in Texas are:
What are popular job titles related to Machine Learning Consultant jobs in Texas? For Machine Learning Consultant jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Machine Learning Consultant jobs in Texas look for? The top searched job categories for Machine Learning Consultant jobs in Texas are:
What cities in Texas are hiring for Machine Learning Consultant jobs? Cities in Texas with the most Machine Learning Consultant job openings:
Infographic showing various Machine Learning Consultant job openings in Texas as of June 2026, with employment types broken down into 84% Full Time, 11% Part Time, 3% Contract, and 2% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $110,483 per year, or $53.1 per hour.
Consultant, Machine Learning Engineer

Consultant, Machine Learning Engineer

Dell, Inc.

Round Rock, TX • On-site

$208K - $269K/yr

Full-time

Posted 4 days ago


Job description

Consultant ML Engineer 

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What's more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

Join us to do the best work of your career and make a profound impact as Consultant ML Engineer on our growing and dynamic team in Round Rock, Texas. 

What you'll achieve 

Lead the architecture, development, and deployment of enterprise scale ML solutions across Dell's global ecosystem. Drive MLOps standards, build production grade ML services, and collaborate across engineering, product, and platform teams to enable AI at scale.scale ML solutions across Dell's global ecosystem.  As a Consultant Machine Learning Engineer, you will play a pivotal role in advancing our AI and ML capabilities. You will be responsible for designing, building, and operationalizing machine learning systems, including next generation agentic and GenAI powered applications. You will drive and execute our broader AI/ML strategy. You will also be leading Spec Driven Development models for agentic solutions.  A key focus of this role is transforming our services journey through intelligent automation, ML driven decisioning, and autonomous agentic systems. You will work deeply across data pipelines, model development, optimization, and production deployment to deliver scalable, high performance ML solutions. You will also be responsible for owning core Agentic products and conceptualizing agentic models.

You will 

  • Lead the endtoend Agentic lifecycle-from conceptualizing, prototyping and driving delivery with engineering teams.

  • Design and build autonomous AI agents, ML systems, pipelines, and inference services.

  • Work with business leads to imagine agentic products and drive accelerated delivery through Spec Driven Development

  • Implement MLOps practices including CI/CD, model monitoring, drift detection, and automated retraining.

  • Collaborate with Data Engineering and Platform teams to ensure data, infrastructure, and governance readiness.

  • Provide technical leadership while integrating emerging AI/ML technologies and managing production incidents.

Take the First Step Towards Your Dream Career 

Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: 

Essential Requirements: 

  • 12+ years of experience delivering complex AI/ML or applied science systems, including deep learning, machine learning, and LLMbased solutions.

  • Advanced Python expertise with strong knowledge of ETL pipelines (Airflow preferred) and modern datawarehousing concepts.

  • Strong software engineering background with hands-on experience in AI frameworks, cloud environments, and domains such as ML, NLP, IR, recommender systems, and LLMs.

  • Proven experience with Docker, Kubernetes, and major cloud platforms (AWS/GCP/Azure), including training, finetuning, and applying LLMs for agentic AI applications.

  • Strong product management and Sr. Exec level presentation and technical story telling capabilities

Desirable Requirements 

  • PhD or Master's degree in Technology, Computer Science, Machine Learning or equivalent quantitative field 

  • Familiarity leveraging graph-based techniques, semantic search, hybrid search systems, and implementing solutions that combine traditional IR methods with machine learning models to enhance search relevancy accuracy and efficiency. Familiarity with large scale data handling when dealing with telemetry systems. 

Compensation

Dell is committed to fair and equitable compensation practices. The compensation range for this position is $208,000 to $269,000.

Benefits and Perks of working at Dell Technologies 

Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com 

Who we are 

We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. 

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. 

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here. 


DELL logo

About DELL

Sourced by ZipRecruiter

Dell Technologies helps organizations and individuals build a brighter digital tomorrow. Our company is made up of more than 150,000 people, located in over 180 locations around the world. We're proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Round Rock, TX, US

Year founded

1984