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Machine Learning Consultant Jobs in Oregon (NOW HIRING)

Overview Machine Learning Engineer, AI Platform As a Machine Learning Engineer, you will design ... Collaboration: Work directly with product managers, implementation consultants, engineers, and ...

About You You are a technical leader and client-focused consultant who enjoys turning complex machine learning ideas into robust, production-ready solutions. You are comfortable working across data ...

About You You are a technical leader and client-focused consultant who enjoys turning complex machine learning ideas into robust, production-ready solutions. You are comfortable working across data ...

OR · On-site

We are looking for a Principal Solutions Architect to join our Machine Learning team. In this role ... About You You are a customer-obsessed technical leader and consultant who enjoys solving complex ...

OR · On-site

$66.25 - $80/hr

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on ... Technical Architect Machine Learning Engineer - Agentic AI & Multi-Agent Systems Experience Level ...

Senior Machine Learning Test Engineer

OR · On-site +1

$110K - $143K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply ...

Position Summary Epiq's Advanced Technologies Consultants support clients' document review needs using advanced analytics, including machine learning and generative AI. Working closely with the ...

OR · On-site

$141K - $235K/yr

Data Science Consulting Travel Required: Up to 10% Clearance Required: None What You Will Do: We ... of statistical, machine learning, and applied mathematical techniques to deliver insights to ...

Experience integrating machine learning and analytical tools * Background working in strategic planning or consultant environments supporting government or DoD clients * Proven track record of ...

OR · On-site

$113K - $188K/yr

Design and develop machine learning models and analytical approaches to support search, discovery ... Consulting experience strongly preferred * Experience building AI-enabled search solutions ...

OR · On-site

Machine Learning * LLMs * CCaaS * UCaaS * Automated Quality Management * Contact Center Operations * Contact Center Reporting * Knowledge Management * Workflow Automation

OR · On-site

$63.75 - $82/hr

Technology Consulting Travel Required: Up to 50% Clearance Required: None Guidehouse's Health IT ... Experience leading or contributing to applied machine learning (ML) or advanced analytics solutions ...

... machine learning libraries - Utilizing complex data analysis and data modeling techniques - Excelling in coaching and mentoring team members - Embracing change and innovation in technology consulting ...

Senior AI Engineer - SFL Scientific

Portland, OR · On-site

$110K - $152K/yr

In our consultative approach, we are platform agnostic and committed to providing the best ... Work with clients to design, develop, and deploy new architectures to support machine learning ...

Previous experience as an implementation consultant for AI solutions * Previous experience in Machine Learning Use Case Development and Operations experience * Industry vertical experience with Data ...

New

OR · On-site

$114K - $137K/yr

Data Science Consulting Travel Required: Up to 25% Clearance Required: Active Secret Guidehouse is ... Build orchestration workflows that connect foundation models, machine learning services, tools ...

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How much do machine learning consultant jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for machine learning consultant in Oregon is $60.24, according to ZipRecruiter salary data. Most workers in this role earn between $42.68 and $82.96 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 analyzes data and develops algorithms to solve complex problems using machine learning techniques. They design, implement, and optimize models often using tools like Python, R, or TensorFlow, and communicate findings to stakeholders to support data-driven decision-making.

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 languages like Python or R can earn higher salaries, especially when working on complex projects or in high-demand markets.

Which 5 jobs will survive AI?

Machine Learning Consultants are likely to continue to find demand as AI advances, especially in roles requiring specialized expertise in designing, implementing, and managing AI systems. Jobs that involve complex problem-solving, creativity, emotional intelligence, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial roles—are also expected to persist despite AI automation. These roles often require nuanced judgment and interpersonal skills that AI cannot easily replicate.

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.

Can I learn ML in 3 months?

A Machine Learning Consultant typically requires a strong foundation in programming, mathematics, and data analysis. While it is possible to acquire basic knowledge of machine learning concepts in three months with intensive study, developing the skills needed for a professional role usually takes longer and involves hands-on experience with tools like Python, TensorFlow, or scikit-learn.
What are the most commonly searched types of Machine Learning Consultant jobs in Oregon? The most popular types of Machine Learning Consultant jobs in Oregon are:
What are popular job titles related to Machine Learning Consultant jobs in Oregon? For Machine Learning Consultant jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Machine Learning Consultant jobs in Oregon look for? The top searched job categories for Machine Learning Consultant jobs in Oregon are:
Machine Learning Engineer

Machine Learning Engineer

HealthEdge

On-site, Remote

Full-time

Posted 9 days ago


Job description

Overview

Machine Learning Engineer, AI Platform 

 As a Machine Learning Engineer, you will design, build, and ship AI agents and automation that solve real problems across HealthEdge's engineering, product, and delivery organizations, including customer-facing operations. You'll partner directly with stakeholders across Engineering, Product, and healthcare professionals to understand their workflows, identify high-leverage opportunities, and deliver working solutions end-to-end. Your growing expertise in machine learning and agentic AI will have a direct impact on how HealthEdge builds software, delivers for customers, and operates at scale. 

Key Responsibilities 

  • AI Platform Development: Develop and implement AI Agents and automation that accelerates internal engineering workflows and customer facing delivery processes, owning the full lifecycle from problem discovery, through prototyping, evaluation, hardening, and production deployment. Contribute reusable libraries, prompt templates, tool-use patterns, and evaluation scaffolding back to the AI Platform. 
  • Integration: Partner with software engineers to integrate AI into the company's existing software infrastructure, supporting seamless functionality and performance. 
  • Collaboration: Work directly with product managers, implementation consultants, engineers, and business operations teams to identify pain points, scope solutions, and iterate toward measurable outcomes. You are the bridge between what AI can do and what the business needs done. 
  • Research and Learning: Stay current with advancements in LLMs, agentic frameworks, machine learning,  and healthcare technology, and apply new knowledge to contribute ideas for innovation within the team. 
  • Performance and Reliability: Optimize AI systems for accuracy, latency, cost, and safety, with particular attention to human-in-the-loop design and guardrails appropriate for healthcare. 
  • Documentation: Maintain clear documentation of model development processes, methodologies, and results to ensure transparency and reproducibility. 
  • Required Qualifications 

    • Education: Master's degree in Computer Science, Machine Learning, Data Science, or a related field. A Bachelor's degree with relevant experience will also be considered. 
    • Experience: 2-4 years of experience building and deploying ML or AI systems in production. Experience working directly with non-technical stakeholders or in embedded/consulting-style engineering roles is a strong plus. 
    • Technical Skills: Strong proficiency in Python. Experience with LLM APIs, agentic frameworks (LangChain, Strands, etc.), and prompt engineering alongside traditional ML frameworks (PyTorch, scikit-learn, etc.). Solid software engineering fundamentals - version control, testing, CI/CD, and comfort operating across the full development lifecycle. 
    • Healthcare Knowledge: Interest in or familiarity with healthcare data, clinical workflows, and regulatory requirements. Experience working with electronic health records (EHR) or other healthcare datasets is a plus but not required. 
    • Analytical Skills: Strong problem-solving skills and the ability to work with complex datasets to derive actionable insights. 
    • Communication: Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders. 
    • Builder Mindset: Energized by turning ideas into working solutions. You balance speed with quality, thrive in ambiguous problem spaces, and pick up new domains quickly. 
    • Team Player: Ability to work collaboratively in a cross-functional team environment, accept feedback, and contribute to the success of the team. 

    HealthEdge commits to building an environment and culture that supports the diverse representation of our teams. We aspire to have an inclusive workplace. We aspire to be a place where all employees have the opportunity to belong, make an impact and deliver excellent software and services to our customers. 

    Geographic Responsibility: While HealthEdge is located in Boston, MA you may live anywhere in the US 

    *Note this role requires proof of US residency for the last consecutive 5 years*

    Type of Employment: Full-time, permanent 

    Work Environment: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job:  

    • The employee is occasionally required to move around the office. Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus. 
    • Work across multiple time zones in a hybrid or remote work environment. 
    • Long periods of time sitting and/or standing in front of a computer using video technology. 
    • May require travel dependent on company needs. 

    The above statements are intended to describe the general nature and level of the job being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. HealthEdge reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position in compliance with the Americans with Disabilities Act of 1990. Candidates may be required to go through a pre-employment criminal background check.  

    HealthEdge is an equal opportunity employer. We are committed to workforce diversity and actively encourage all qualified persons to seek employment with us, including, but not limited to, racial and ethnic minorities, women, veterans and persons with disabilities. 

    #LI-Remote 

    **The annual US base salary range for this position is $130,000 to $165,000. This salary range may cover multiple career levels at HealthEdge. Final compensation will be determined during the interview process and is based on a combination of factors including, but not limited to, your skills, experience, qualifications and education. 

    Employment Type: FULL_TIME

    HealthEdge logo

    About HealthEdge

    Sourced by ZipRecruiter

    Health Edge ® provides modern, disruptive technology that delivers for the first time, a suite of products that enables healthcare payors to leverage new business models, improve outcomes, drastically reduce administrative costs and connect everyone in the healthcare delivery cycle. Our next-generation enterprise product suite, HealthRules ®, is built on modern, patented technology and is delivered to customers via the HealthEdge Cloud or on-site deployment. An award-winning company, HealthEdge empowers payors to capitalize on the innovations, challenges and opportunities that await in the new healthcare economy. For more information, visit .

    Industry

    Computer and computer peripheral equipment and software wholesalers

    Company size

    201 - 500 Employees

    Headquarters location

    Burlington, MA, US

    Year founded

    2005

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