Top 15 Mid level machine learning Jobs in Columbus

Technical Instructor (AWS Machine Learning)
Per Scholas —Columbus, OH
- $60 - $65 an hour
- Part-time
- Remote
- Classroom
- Customer service
- Public speaking
- Paid parental leave
- AD&D insurance
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Mid-level Data Scientist
Battelle —Columbus, OH
- $95,000 - $110,000 a year
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- Office
- Wellness program
- Health insurance
11d
Machine Learning / Data Science Engineer
CapTech Consulting —Columbus, OH
- Full-time
- Azure
- Management
- DevOps
- Loan repayment program
- Disability insurance
Quick Apply
Staff Software Engineer - Hybrid
The Hartford —Columbus, OH
- $116,000 - $174,000 a year
- Full-time
- Hybrid work
- Computer science
- 6 years
- Computer Science
Lead Machine Learning / Data Science Engineer
CapTech Consulting —Columbus, OH
- Full-time
- 7 years
- Azure
- Management
- Loan repayment program
- Disability insurance
Quick Apply
Forecasting & Capacity Planning Analyst (Warehouse)
Gifthealth Inc —Columbus, OH
- $90,000 - $100,000 a year
- Full-time
- Hybrid work
- Writing skills
- Mid-level
- 3 years
Quick Apply
5d
Regional Sales Manager - Ohio
BigID —Columbus, OH
- $150,000 - $165,000 a year
- Remote
- 5 years
- Senior level
- Communication skills
- Paid parental leave
- Health insurance
Quick Apply
Sales Engineer
JumpMind, LLC —Columbus, OH
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- Office
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Entry-Level Benefits Advocate
OPOC.us —Worthington, OH
- $17 an hour
- Full-time
- Computer literacy
- Office
- Organizational skills
- Paid holidays
- Health insurance
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AWS (AABG) Mid-Market Technical Architect
Accenture —Columbus, OH
- $87,400 - $266,300 a year
- Full-time
- Hybrid work
- 6 years
- Mid-level
- Mentoring
- Paid holidays
- Disability insurance
External Benefits Advocate
OPOC.us —Worthington, OH
- $19 an hour
- Full-time
- Computer literacy
- Office
- Organizational skills
- Paid holidays
- Health insurance
Quick Apply
Technical Delivery Lead - Data & Agentic Transformation, Google Cloud
Accenture —Columbus, OH
- $87,400 - $266,300 a year
- Full-time
- Hybrid work
- 6 years
- Computer Science
- SQL
- Paid holidays
- Disability insurance
13d
Technical Delivery Lead - Applications, Google Cloud
Accenture —Columbus, OH
- $87,400 - $266,300 a year
- Full-time
- Hybrid work
- 6 years
- Computer Science
- SQL
- Paid holidays
- Disability insurance
13d
CFOEV - Finance Transformation Manager
Accenture —Columbus, OH
- $87,400 - $293,800 a year
- Full-time
- Oracle
- CPA
- 3 years
- Paid holidays
- Disability insurance

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Mid-level Data Scientist
Battelle —Columbus, OH
3 to 8 years of experience in modeling & simulation, statistical analysis, quantitative risk assessment, data science, or related field.
$95,000 - $110,000 a year
11d
Machine Learning / Data Science Engineer
CapTech Consulting —Columbus, OH
Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and…
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Technical Instructor (AWS Machine Learning)
Per Scholas —Columbus, OH
Maintain and update Salesforce and/or our LMS with student grades, certification scores, and progress notes. Additional resources include healthcare concierge…
$60 - $65 an hour
Quick Apply
Mid-level Data Scientist
Battelle —Columbus, OH
3 to 8 years of experience in modeling & simulation, statistical analysis, quantitative risk assessment, data science, or related field.
$95,000 - $110,000 a year
11d

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Technical Instructor (AWS Machine Learning)

Per Scholas -
Columbus, OH

Quick Apply

Job Details

Part-time | Contract
$60 - $65 an hour

Benefits

Paid parental leave
AD&D insurance
Paid holidays
Disability insurance
Health insurance
Dental insurance
401(k)
Flexible spending account
Paid time off
Parental leave
Employee assistance program
Vision insurance
Employee discount
Life insurance
Pet insurance

Qualifications

AI models
AWS IAM
Cloud identity and access management (IAM)
Software engineering
Tooling
Amazon SageMaker
Generative models
AI platforms (beyond public GPTs)
Information security
Maintaining data pipelines
Machine learning cloud services
Machine intelligence
AWS Glue
Continuous integration
AWS Step Functions
Online training platform teaching experience
Software documentation
S3
Online instruction
Amazon CloudWatch
Amazon VPC
Video conferences (communication methods)
Webinars (training delivery method)
DevOps automation
Cybersecurity
Technical writing experience within technology
Cloud monitoring
Machine learning frameworks
MLOps
Virtual Private Clouds

Full Job Description

ABOUT PER SCHOLAS:

For 30 years, Per Scholas has been on a mission to drive mobility and opportunity in the ever-advancing technology landscape by unlocking the untapped potential of individuals, uplifting communities, and meeting the needs of employers through rigorous tech training. By teaming up with dynamic employer partners, ranging from Fortune 500 companies to innovative startups, we're forging inclusive tech talent pipelines, fulfilling an ever-increasing need for skilled talent. With national remote training and campuses in 20+ cities and counting, Per Scholas offers no-cost training programs in the most sought-after tech skills, spanning Cloud, Cybersecurity, Data Engineering, IT Support, Software Engineering, and more. To date, 30,000+ individuals have been trained through Per Scholas, propelling their professional trajectories into high-growth tech careers with salaries three times higher than their pre-training earnings. Learn more by visiting PerScholas.org and follow us on LinkedIn, X, Facebook, Instagram, and YouTube.

Per Scholas preferred hires reside within the following states: AZ, CA, CO, FL, GA, IL, IN, KS, MD, MA, MI, MO, NC, NJ, NY, OH, PA, TX, WA

POSITION TITLE: AWS Machine Learning - Instructor

DURATION: Part-Time Contract Role

COMPENSATION: $65/hour

WHO WE'RE LOOKING FOR

Per Scholas is seeking an AWS Machine Learning instructor to become a member of our team. The ideal candidate is a detail-oriented, problem-solving individual with strong technical and instructional skills, demonstrates the ability to adapt quickly to a dynamic environment, and maintains a strong sense of accountability. To succeed in this role, candidates must be business-minded within our mission focus and excel in instructional delivery that meets clients' and learners' high expectations.

WHAT YOU'LL DO

Support instructor-led training that prepares students for entry-level to mid-level careers in AI and Machine Learning infrastructure on AWS. Responsibilities include daily instruction, assessment administration, attendance, one-on-one tutoring, daily evaluation and monitoring of individual student progress, addressing student violations with students in a consistent manner, and more.
Provide students with access to relevant resources for outside learning on technologies and study aids relevant to the curriculum.
Work closely with the team to identify student needs, provide the necessary support, establish individualized plans for student achievement, and participate in regular student-status meetings.
Maintain and update Salesforce and/or our LMS with student grades, certification scores, and progress notes.
Support and maintain the training curricula, syllabi, lesson plans, and other classroom materials.

WHAT YOU'LL BRING TO US

Instructional Skill Sets

1-3 years of teaching or training experience
Strong technical background; able to grasp and convey highly technical subject matter
Ability to respond clearly to live digital conversations via a digital engagement platform such as Zoom or an in-person training environment.
Strong communication skills

Required Skill Sets

ML Development & Tools: Hands-on expertise with Amazon SageMaker, AWS Bedrock, and SageMaker Studio.
Data Engineering: Proficiency in ingesting and transforming datasets using AWS Glue, S3, and SageMaker Data Wrangler.
MLOps Orchestration: Expertise building automated ML pipelines using AWS Step Functions, SageMaker Pipelines, and CI/CD workflows.
Security & Governance: Strong understanding of IAM policies, VPC security, and auditing via CloudWatch and CloudTrail.
Model Monitoring: Ability to evaluate performance and bias using SageMaker Clarify and Model Monitor.
Generative AI Integration: Ability to demonstrate the use of LLMs and Copilots for debugging code, generating notes, and automating technical documentation.
Certification: Active AWS Certified Machine Learning Engineer – Associate or AWS Certified Data Engineer – Associate credential.

Preferred Skill Sets

Programming Mastery: Proficiency in Python (Pandas, NumPy) and SQL for data-centric roles.

Professional Qualifications

Bachelor's degree (or equivalent practical/industry experience)
Strong technical aptitude (Google Sheets/Excel, Slides/PowerPoint, Salesforce, Slack, Zoom, etc.), project management, and organizational skills with detailed follow-through abilities
Excellent written communication, presentation, and customer service skills
Solid understanding of business needs
Strong evaluation and data management skills
Prior knowledge or background in IT (if minimal, a desire and willingness to learn what's needed) and a passion for technology is a plus

Personal Characteristics

You thrive in a creative, inventive, fast-paced startup environment with people who are passionate about their work and mission.
You are data-driven, result-oriented, and a forward-looking catalyst for social change.
You have a collaborative and flexible work style. You're excited to work cross-functionally with other departments and independently.
You are a life-long learner.
You are an effective communicator with strong oral and written skills.
You are tech-savvy and learn new tools quickly.
You are detail-oriented, with exceptional organizational management skills.
You have strong public speaking and interpersonal skills. You are a motivator who is personable, approachable, and socially engaging. You can cultivate relationships and build rapport quickly and authentically with people from various professional and cultural backgrounds.
You are adept at managing your time and balancing multiple projects and tasks.
You stand behind our mission, believing that individuals from any community should have access to well-paying career positions and that talent should be recognized and recruited from diverse sources.

Compensation

For this role specifically, we are targeting an hourly range of $60.00 - $65.00 where the difference in salary is typically determined by several factors, including geography in which the selected candidate resides, and alignment with qualifications and experience.

#LI-Remote

Benefits & Perks

Per Scholas offers a comprehensive benefits package designed to support your health, financial well-being, and overall quality of life!

Holidays & PTO: Full-Time Per Scholas team members enjoy over 40 days of paid time off each year through a mix of holidays, vacation, and sick/personal time! All employees are eligible for Holiday pay upon hire (a total of 22 holidays annually, including a week off for Independence day and a week before the New Year). Full-Time Benefits Eligible employees also receive 80 Wellness Hours to use for Sick, Safe, or Personal reasons and accrue Vacation at a rate of 8 hours at the beginning of every month, supporting rest, recharge, and work-life balance. Vacation accruals increase with tenure. Part-time employees are afforded time off on a prorated basis and in accordance with local requirements.

Comprehensive Medical Coverage: Benefit eligible employees can choose from multiple medical plans through Cigna or Kaiser Permanente (where available), with options to fit your needs. Eligible employees also have access to a Health Reimbursement Account (HRA) that reimburses eligible out-of-pocket expenses, up to $4,000 for individuals and $8,000 for families.

Dental and Vision Insurance: Eligible employees can select from two dental plan options and a vision plan. Employees who waive medical coverage receive employer paid dental and vision premiums.

Retirement Savings: 401(k) plan with a current 100% employer match on contributions up to 6%, eligible employees are offered entry and full vesting after 90 days with the company.

Employee Assistance Program (EAP): Free, confidential, 24/7 access to counseling, legal support, and financial resources for employees and their household members

Parental Leave: Eligible employees are offered up to 6 weeks of 100% paid parental leave to support employees as they welcome a new child and bond with their family.

Additional Benefits & Perks: Eligible employees have access to employer-paid life and AD&D Insurance, as well as employer-paid short-term disability coverage, with the option to elect additional life coverage and long-term disability insurance. Flexible Spending accounts are available for healthcare, dependent care, and commuting expenses. Per Scholas also offers a range of voluntary benefits, including: Accident, Critical Illness, Hospital Indemnity, Legal Services, and Pet Insurance. Additional resources include healthcare concierge support, financial wellness tools, and employee discount programs.

QUESTIONS?

If you have any questions about this role, please feel free to email our Talent team at [email protected]. We look forward to viewing your application!

Equal Employment Opportunity

We're proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or national origin.

PII Policies

Non-Discrimination Policy

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Refine Your Search

mid level machine learning jobs in columbus

Technical Instructor (AWS Machine Learning)

Mid-level Data Scientist

Machine Learning / Data Science Engineer

Staff Software Engineer - Hybrid

Lead Machine Learning / Data Science Engineer

Forecasting & Capacity Planning Analyst (Warehouse)

Regional Sales Manager - Ohio

Sales Engineer

Entry-Level Benefits Advocate

AWS (AABG) Mid-Market Technical Architect

External Benefits Advocate

Technical Delivery Lead - Data & Agentic Transformation, Google Cloud

Technical Delivery Lead - Applications, Google Cloud

CFOEV - Finance Transformation Manager

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