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

ASK Consulting

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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 ...

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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Machine Learning Consultant information

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How much do machine learning consultant jobs pay per hour?

As of Jul 29, 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

Machine Learning Engineer

Tiger Analytics Inc.

Plano, TX • On-site

Full-time

Posted 16 days ago

Job description

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 Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.
Requirements
We are looking for an experienced AI/ML Lead with deep expertise in designing and deploying high-performance APIs and microservices on AWS Fargate (ECS). The ideal candidate will have hands-on experience in generative AI integration, LLM API development, and AWS Bedrock services, contributing to building scalable GenAI and Agentic AI applications.
Key Responsibilities:
  • Design, build, and optimize high-performance APIs and microservices using Python (Fast API) deployed on AWS Fargate (ECS).
  • Integrate LLM and Generative AI APIs using providers such as AWS Bedrock, OpenAI, and others.
  • Collaborate with ML and DevOps teams to design CI/CD and MLOps pipelines within the AWS ecosystem.
  • Contribute to architectural decisions around scalability, latency management, and backend efficiency for AI-powered systems.
  • (Preferred) Leverage familiarity with Bedrock Agent Core services to integrate intelligent agent capabilities.
  • Develop and maintain JSON RESTful APIs, adhering to OpenAI API conventions and best practices.
Required Skills & Experience:
  • 5+ years of hands-on software development experience with Python.
  • Proven expertise in FastAPI and microservice architecture.
  • Strong understanding of cloud-native applications, container orchestration (ECS, Docker), and AWS tools.
  • Proficiency in LLM API integration and working with Generative AI frameworks.
  • Experience implementing CI/CD, IaC, and ML pipelines across AWS environments.
  • Familiarity with Bedrock AgentCore or other agentic systems (nice to have).
Why Join Us:
You'll be part of an innovative team building the next generation of AI-driven applications, where scalability, performance, and intelligent automation converge. This is an opportunity to push boundaries in Agentic AI infrastructure development in a supportive, fast-moving environment.
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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