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Flexible Machine Learning Consultant Jobs (NOW HIRING)

Machine Learning Engineer (AI Data Trainer) About the Role What if your expertise in machine ... This is a fully remote, flexible contract role built for experienced ML and engineering ...

Ontrac Solutions is seeking Machine Learning Engineers to support an urgent staff augmentation ... Experience working in staff augmentation, consulting, or fast-moving client-facing environments.

PYTHON, ANALYSIS RoleMachine Learning Engineer Industry TypeIT Services & Consulting Functional AreaData Science & Analytics Employment TypeFull Time, Permanent Role CategoryData Science & Machine ...

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Flexible Machine Learning Consultant information

What is the difference between Flexible Machine Learning Consultant vs Data Scientist?

AspectFlexible Machine Learning ConsultantData Scientist
CredentialsTypically requires a degree in computer science, data science, or related fields; certifications in machine learning or data analysis are commonUsually holds a degree in statistics, computer science, or related disciplines; certifications like Certified Data Scientist are advantageous
Work EnvironmentOften works on client projects, freelance or contract basis, in diverse industriesTypically employed full-time within organizations, focusing on data analysis and model development
Industry UsageUsed across consulting firms, tech companies, and startups for project-based workCommon in tech, finance, healthcare, and research institutions for ongoing data analysis

The main difference is that a Flexible Machine Learning Consultant primarily works on project-based, client-specific tasks, often freelance, while a Data Scientist usually works full-time within a company focusing on data analysis and model building. Both roles require similar skills and credentials but differ in work setting and employment structure.

What cities are hiring for Flexible Machine Learning Consultant jobs? Cities with the most Flexible Machine Learning Consultant job openings:
What are the most commonly searched types of Machine Learning Consultant jobs? The most popular types of Machine Learning Consultant jobs are:
What states have the most Flexible Machine Learning Consultant jobs? States with the most job openings for Flexible Machine Learning Consultant jobs include:
Senior Learning Consultant II

Senior Learning Consultant II

Instructure, Inc

New York, NY • On-site, Remote

$94K - $124K/yr

Full-time

Posted yesterday


Job description

At Instructure, we believe in the power of people to grow and succeed throughout their lives. Our goal is to amplify that power by creating intuitive products that simplify learning and personal development, facilitate meaningful relationships, and inspire people to go further in their education and careers.
We do this by giving smart, creative, passionate people opportunities to create awesome. And that's where you come in:
NOTE: Applicants MUST live within commuting distance to the upper Manhattan area 5 days per week. This position is on site with a customer, per our statement of work. Do not apply unless you are able to commit to this requirement.
We are looking for a Senior Learning Consultant II (Dedicated) to join our Learning Services Dedicated Consulting team and support large institutions across markets including K12, Higher Ed, Business & Government. As a Senior Learning Consultant, you will deepen and elevate client use of Instructure products-driving adoption, organizational transformation, and impactful learning outcomes-through project management, change leadership, customized consultation, resource development, pedagogical expertise, and hands-on targeted coaching. You will play a vital role leading positive change, enhancing learner engagement, and tailoring both the content and the customer experience to meet specific institutional goals.
What you will be doing:
  • Build and maintain strong relationships with key stakeholders to understand and prioritize their needs, providing exceptional value and a positive consulting experience.
  • Collaborate with stakeholders to create and execute detailed communication, training, and engagement plans.
  • Provide change leadership using the Instructure Success Model to support client vision and institutional goals.
  • Analyze data to align efforts with client objectives, track impact, identify challenges, and recommend targeted strategies for success.
  • Mentor and motivate institution leaders, faculty, designers, and staff, inspiring educators to achieve measurable success with Instructure products.
  • Customize deliverables to client use cases, goals, and plans; design and facilitate effective consulting sessions connecting product usage to best instructional practices.
  • Follow up after sessions to monitor progress and ensure continued success.
  • Work cross-functionally with Instructure teams and customers to optimize product usage across organizations.
  • Tackle a variety of tasks to support client rollout while upholding internal procedures, security/privacy protocols, and institutional policies.
  • Travel as needed to support on-site rollout and implementation.
  • Understand business functions, identify support needs, and recommend additional consulting when necessary.
  • Develop actionable insights and solutions using critical thinking, research, and problem-solving skills.
  • Build capacity at client sites for sustainable success after the consulting period ends.
  • Lead team subject matter experts, improve workflows, update documentation, support use of AI-driven knowledge base, and communicate changes effectively.
  • Develop foundational knowledge of revenue, forecasting, and budgeting concepts.
  • Serve as a liaison between dedicated and flexible learning consultant services.
  • Update team resources in line with branding, style guides, and product updates.
  • Project manage key team or departmental projects.

What you will need to know/have:
  • Minimum 5 years of Instructure product experience, with demonstrated ability to create engaging Canvas courses that are responsive, accessible, and inclusive.
  • At least 1 year of experience with other Instructure tools.
  • At least 1 year in an educational leadership position managing a team using an LMS for pedagogical purposes (more preferred).
  • Experience leading change, building relationships, and driving technology adoption at a large organization.
  • Minimum 1 year of professional development creation/delivery for educators.
  • Minimum 3 years of teaching experience, including with digital learning environments.
  • Current knowledge of technology adoption, professional development strategies, and edtech best practices.
  • Impeccable executive presence and superior verbal/written communication and interpersonal skills.
  • Strong creative thinking, problem-solving, and attention to detail; ability to elicit cooperation among stakeholders at all levels.
  • Effective task prioritization and execution in high-pressure/ambiguous environments.
  • Experience delivering high-quality professional presentations.
  • Proactive and flexible approach to project changes and new challenges.
  • Bachelor's degree in Instructional Technology or equivalent required; Master's in Educational Leadership or Instructional Technology preferred.
  • Willingness to travel to client sites as needed, including possible extended on-site engagements.

Get in on all the awesome at Instructure!
We offer competitive, meaningful benefits in every country where we operate. While they vary by location, here's a general idea of what you can expect:
  • Competitive compensation, plus all full-time employees participate in our ownership program - because everyone should have a stake in our success.
  • Flexible work culture. Our remote, hybrid and in-office collaboration spaces vary by role, team and location.
  • Generous time off, including local holidays and our annual "Dim the Lights" period in late December, when teams are encouraged to step back and recharge based on departmental needs.
  • Comprehensive wellness programs and mental health support
  • Learning and development resources, including professional development tools and tuition reimbursement, to support your growth
  • The technology and tools you need to do your best work
  • Motivosity employee recognition program
  • A culture rooted in inclusivity, support, and meaningful connection

We believe in hiring great people and treating them right. The more diverse we are, the better our ideas and outcomes.
Instructure is an Equal Opportunity Employer. We comply with applicable employment and anti-discrimination laws in every country where we operate.
All employees must pass a background check as part of the hiring process. To help protect our teams and systems, we've implemented identity verification measures. Candidates may be asked to verify their legal name, current physical location, and provide a valid contact number and residential address, in accordance with local data privacy laws.
Any attempt to misrepresent personal or professional information will result in disqualification.