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Machine Learning Consultant Jobs in Dallas, TX (NOW HIRING)

Tech Consulting

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Machine Learning Engineer

Dallas, TX · On-site

$30 - $40/hr

Develop, test, and maintain machine learning models. * Clean, preprocess, and analyze structured and unstructured datasets. * Assist in building AI-powered applications and automation solutions.

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ERP SAVVY LLC

SAP ISLM Technical Consultant

Dallas, TX · On-site

$62.25 - $85/hr

ERP SAVVY is seeking a highly skilled SAP ISLM Technical Consultant with expertise in Artificial Intelligence (AI) , Machine Learning (ML) , and Python to support intelligent scenario lifecycle ...

Deloitte

Finance Analytics & AI Senior Consultant

Dallas, TX · On-site

$115K/yr

Experience deploying machine learning or generative and agentic AI solutions into production ... Our Senior Consultants are expected to contribute to the firm's growth and development in a variety ...

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How much do machine learning consultant jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for machine learning consultant in Dallas, TX is $59.60, according to ZipRecruiter salary data. Most workers in this role earn between $42.22 and $82.07 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 Dallas, TX? The most popular types of Machine Learning Consultant jobs in Dallas, TX are:
What are popular job titles related to Machine Learning Consultant jobs in Dallas, TX? For Machine Learning Consultant jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Machine Learning Consultant jobs in Dallas, TX look for? The top searched job categories for Machine Learning Consultant jobs in Dallas, TX are:
Machine Learning Consultant jobs near you
Infographic showing various Machine Learning Consultant job openings in Dallas, TX 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 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $123,969 per year, or $59.6 per hour.

Machine Learning Engineer

Tech Consulting

Dallas, TX • On-site

$30 - $40/hr

Full-time

Life

This job post has expired today. Applications are no longer accepted.

Job description

Entry-Level AI/ML Developer

Fulltime

Candidate must be open to relocate


We are looking for a motivated Entry-Level AI/ML Developer to join our team. In this role, you will assist in designing, developing, and deploying machine learning models and AI-powered applications. You will work closely with senior developers, data scientists, and software engineers to solve real-world business problems using artificial intelligence.


Key Responsibilities

  • Develop, test, and maintain machine learning models.
  • Clean, preprocess, and analyze structured and unstructured datasets.
  • Assist in building AI-powered applications and automation solutions.
  • Write clean, efficient, and well-documented Python code.
  • Implement data pipelines for model training and inference.
  • Evaluate model performance and optimize algorithms.
  • Collaborate with cross-functional teams to understand business requirements.
  • Participate in code reviews and follow software development best practices.
  • Stay updated with the latest AI and machine learning technologies.


Required Qualifications

  • Bachelor's degree in computer science, Information Technology, Artificial Intelligence, Data Science, or a related field.
  • Basic understanding of machine learning algorithms and data structures.
  • Proficiency in Python programming.
  • Familiarity with libraries such as:
  • NumPy
  • Pandas
  • Scikit-learn
  • TensorFlow or PyTorch
  • Knowledge of SQL and databases.
  • Understanding of object-oriented programming concepts.
  • Familiarity with Git version control.
  • Strong analytical and problem-solving skills.
  • Good written and verbal communication skills.


Preferred Qualifications

  • Internship, academic project, or personal project in AI/ML.
  • Knowledge of deep learning and neural networks.
  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud).
  • Experience with APIs and REST services.
  • Understanding of data visualization tools.
  • Basic knowledge of Docker and Linux.


Thanks