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Ml Consultant Jobs (NOW HIRING)

Crosslake Technologies LLC

AI / ML Consultant

OR · Remote

Be an apprentice consultant for your first 2 projects and then be willing and able to drive a ... IP considerations * ML Ops and related tooling * Cloud hosting options and self-hosting, and ...

Crosslake Technologies LLC

AI / ML Consultant

Be an apprentice consultant for your first 2 projects and then be willing and able to drive a ... IP considerations * ML Ops and related tooling * Cloud hosting options and self-hosting, and ...

Crosslake Technologies LLC

AI / ML Consultant

Be an apprentice consultant for your first 2 projects and then be willing and able to drive a ... IP considerations * ML Ops and related tooling * Cloud hosting options and self-hosting, and ...

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How much do ml consultant jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for ml consultant in the United States is $66.73, according to ZipRecruiter salary data. Most workers in this role earn between $55.53 and $80.77 per hour, depending on experience, location, and employer.

What is an ML consultant?

ML Consultants, or Machine Learning Consultants, are professionals who specialize in applying machine learning techniques to solve business problems. They assess a company's data, identify opportunities where machine learning can add value, and help design, implement, and optimize ML models or systems. Their work often involves advising on best practices, selecting appropriate algorithms, and ensuring solutions are scalable and effective. ML Consultants typically work with diverse industries and may also help with training in-house teams or integrating ML solutions into existing workflows.

What skills and qualifications are needed to thrive as an ML consultant?

To thrive as an ML Consultant, you need strong expertise in machine learning algorithms, data analysis, programming (Python, R), and typically a degree in computer science or a related field. Familiarity with ML frameworks (TensorFlow, PyTorch), cloud platforms (AWS, Azure), and relevant certifications like AWS Certified Machine Learning are commonly required. Outstanding problem-solving, communication, and project management skills distinguish top consultants in client-facing and collaborative environments. These competencies enable ML Consultants to deliver effective, scalable solutions that meet client needs and drive business value.

How does an ML consultant typically collaborate with clients and internal teams during a project?

ML Consultants work closely with clients to understand their business challenges and data needs, often starting with requirement-gathering and problem definition workshops. They frequently collaborate with data engineers, software developers, and domain experts within their own organization to design, build, and deploy machine learning solutions. Throughout the project, consultants communicate findings, iterate on models based on feedback, and provide training or documentation to ensure smooth handover. This collaborative approach ensures that solutions are both technically robust and aligned with client goals.

What is the difference between Ml Consultant vs Data Scientist?

AspectML ConsultantData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related fields; certifications in ML or AIBachelor's or Master's in CS, Data Science, Statistics; often advanced degrees
Work EnvironmentConsulting firms, client sites, tech companiesTech companies, research labs, startups
Industry UsageUsed across various industries for implementing ML solutionsPrimarily in data-driven roles, research, and product development
Common Search/ComparisonOften compared with Data Scientist due to overlapping skillsCommonly compared with ML Consultant for project-based work

ML Consultants focus on implementing machine learning solutions for clients, often working across industries and environments. Data Scientists analyze data to develop models and insights, typically within organizations. While both roles require similar educational backgrounds and technical skills, ML Consultants emphasize client-facing project delivery, whereas Data Scientists focus on data analysis and research.

How much do machine learning consultants make?

Machine learning consultants typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior consultants with specialized skills in data science, programming, and cloud platforms can earn higher salaries, often exceeding $200,000 with certifications and advanced expertise.

Is machine learning a high paying job?

Machine learning consultants typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally considered a well-paying field within data science and AI roles.
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Ml Consultant jobs near you
Infographic showing various Ml Consultant job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 89% Full Time, 6% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $138,790 per year, or $66.7 per hour.

Quantitative ML Consultant (Contract)

Quix Recruitment Group Ltd

Chicago, IL • Remote

Contractor

Re-posted 25 days ago

Job description

Quix Recruitment is partnering with a high-growth fintech firm to hire a Quantitative ML Consultant to design and implement advanced machine learning solutions for financial applications.
Key Responsibilities
  • Collaborate with quantitative researchers and team members to develop ML-driven strategies.
  • Build, test, and deploy statistical and ML models on production systems.
  • Optimize feature engineering pipelines and data workflows.
  • Advise on best practices for ML model validation and performance monitoring.
  • Share knowledge with team members and support project delivery.
Experience & Skills
  • Master’s or PhD in a quantitative field (CS, Statistics, Mathematics, or related).
  • 4+ years of experience applying ML in financial or data-intensive domains.
  • Expertise in Python and ML frameworks (scikit-learn, PyTorch, TensorFlow).
  • Experience with cloud deployment, containerization, and large-scale data processing.
Competencies
  • Analytical thinker with strong problem-solving skills.
  • Self-motivated and organized in managing multiple projects.
  • Effective communicator and collaborative team player.
Contract Details
Duration: 9 months (with possible extension)
Hours: Full-time (remote, 40 hours/week)
Confidentiality Statement: At Quix Recruitment, we prioritise confidentiality throughout the recruitment process. We understand the sensitivity of exploring new career opportunities while currently employed. Rest assured that when you apply through Quix Recruitment, your application is kept completely confidential from both your current employer and the hiring company. If we determine that you might be a good fit for the position, we will arrange a confidential call with you to discuss the opportunity in more depth. Only after obtaining your permission will we share your CV with the hiring company.
Disclaimer: Please note that all personal information collected during the application process will be used for recruitment-related purposes only. We are committed to protecting your privacy and will not disclose your information to any third parties without your consent.