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Machine Learning Consultant Jobs in Texas (NOW HIRING)

Cymertek

Machine Learning Engineer

San Antonio, TX · On-site

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 ...

ASK Consulting

Be Seen First

Senior Data Scientist- Machine Learning (278799)

Plano, TX · On-site

$80/hr

"All candidates must be directly contracted by ASK Consulting on their payroll and cannot be ... Machine Learning * Artificial Intelligence Key Responsibilities/Requirements: As a Performance ...

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How much do machine learning consultant jobs pay per hour?

As of Jul 27, 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:
Machine Learning Consultant jobs near you
Infographic showing various Machine Learning Consultant job openings in Texas as of July 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 86% Full Time, 8% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $110,483 per year, or $53.1 per hour.
Machine Learning Engineer

Machine Learning Engineer

Adidev Technologies Inc

Austin, TX

Full-time

Posted 14 days ago

Job description

Role: Jr-Mid Machine Learning Engineer

(This role is open to US Citizens, Green Card holders, GC-EAD only. We do not sponsor visas.)

Summary:

 Adidev is looking for an adept Machine Learning Engineer to take the helm in deploying advanced machine learning models, with a special emphasis on Generative AI. In this role, you will craft and refine AI-driven solutions, turning innovative ideas into value-adding features and services, thereby solidifying our market leadership and technological forefront for our clients.

About Adidev Technologies Inc.  

Adidev Technologies,(www.adidevtechnologies.com) is a premier IT consulting firm delivering top-notch, Machine Learning Engineer, iOS and Android, data scientist, Developer solutions to industry giants including Delta, Google, Apple, Spotify, US Bank, FedEx, and more. We're not just a software consulting company – we're a dynamic force shaping the future of technology. Partnering with industry giants, we consistently deliver groundbreaking solutions that redefine the digital landscape. As we continue to expand our footprint, we're on the hunt for exceptional individuals who can bring their technical prowess to our team and elevate our projects to new levels of innovation.

 

Expertise: We excel in IT consultative services and quality engineer development, with Good years of experience.

Global Presence: Our diverse employee workforce spans four continents.

Proven Track Record: Hundreds of Fortune 1000 and innovative startup clients with thousands of successful projects across the USA.

How We'll Guide You

Teaching and Development: We are dedicated to nurturing your growth and development, shaping you into an exceptional consultant capable of delivering top-tier solutions to our end clients.

Custom Support: An array of teams, from Development Managers to Tech Subject Matter Experts, are dedicated to your success.

Project Placement: A market-expertise team ensures you secure and thrive in projects with our esteemed clients.

Career Growth: We facilitate industry experience to propel your technical journey forward.

 

Key Responsibilities:

·        Architect and refine sophisticated ML models and algorithms, translating complex datasets into actionable solutions.

·        Engage in the full lifecycle of data modeling projects, from understanding business requirements to deployment and monitoring.

·        Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.

·        Lead cross-functional collaborations to integrate Generative AI models into our offerings, enhancing product capabilities and user experiences.

·        Apply advanced analytical techniques to analyze vast datasets, identifying trends, anomalies, and opportunities for improvement.

·        Execute data preprocessing, feature engineering, and algorithm optimization to enhance model accuracy and efficiency.

·        Conduct exploratory data analysis to extract valuable insights and influence strategic decisions.

·        Keep abreast of and implement the latest ML trends, tools, and best practices, including AutoML, MLOps, and interpretability frameworks.

·        Promote compliance with industry standards and regulatory requirements, emphasizing ethical AI practices.

 

Requirements:

·        Degree in Computer Science, Engineering, Statistics, or a related technical field.

·        Demonstrable experience in machine learning, deep learning, NLP, computer vision, reinforcement learning, and/or other AI domains.

·        Demonstrable experience with Generative AI models and frameworks, such as GANs or Transformers, applied in industry settings.

·        Practical experience with SQL/NoSQL databases, data visualization tools, and version control systems.

·        Strong foundational understanding of algorithmic complexity and data structure optimization.

·        Excellent problem-solving, collaboration, and communication abilities.

·        Develop and implement cutting-edge machine learning models, with a particular focus on Generative AI applications such as text generation, image synthesis, and creative AI.

·        Execute comprehensive data analysis, including preprocessing, feature engineering, and leveraging Generative AI algorithms for novel solutions.

·        Stay ahead of AI research, especially in Generative AI, applying the latest findings and techniques to drive innovation within our projects.

·        Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).

·        Strong background in cloud computing and big data platforms (AWS, Azure, GCP), with hands-on experience in cloud-based ML services and serverless architectures.

·        Familiarity with DevOps for AI, including containerization (Docker, Kubernetes), CI/CD pipelines, and MLOps practices.

·        Facilitate knowledge sharing and best practices in AI/ML, particularly focusing on Generative AI, within the team.

·        Ensure all AI implementations are compliant with ethical guidelines and data privacy standards.

How to Apply: 

Interested candidates are invited to submit a comprehensive application, including a latest updated resume and a detailed cover letter, showcasing your expertise.

Perks and Beyond! 

Competitive salary range: Based on experience and market value

Pack your bags! Paid relocation is on us.

Support, even from afar, with our remote assistance.

Regular salary reviews? You betcha!

Ready to Embark? 

 we invite you to take this extraordinary step with us. Showcase your journey in pushing the limits of mobile engineering by submitting your resume and a curated selection of your most influential projects.  At Adidev Technologies, we're dedicated to shaping your success. Join us to craft a future powered by innovation and growth.

Note: Adidev Technologies Inc. is a staunch advocate of diversity and equal opportunity. We warmly welcome applications from candidates of all backgrounds, experiences, and walks of life.  Your unique perspective could be the catalyst for our next revolutionary breakthrough

Employment Type: FULL_TIME

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