ZipRecruiter

Log In

1

Remote Senior Machine Learning Engineer Jobs in Columbus, OH

Deloitte

Senior AI Engineer - SFL Scientific

Columbus, OH · On-site

$100.90K - $138.60K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Varsity Tutors

Machine Learning Tutor

Columbus, OH · Remote

$40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deloitte

AI Solutions Architect

Columbus, OH · On-site

$60.75 - $80.25/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Deloitte

AI Data Engineer - Manager

Columbus, OH · On-site

... machine learning models and large language models. • Conduct research to provide technical ... & DevOps teams, Data scientists, Machine Learning & GenAI Engineers, and Business teams to pilot ...

Deloitte

AI and Data Science Engineer III

Columbus, OH · On-site +1

$110.60K - $132.80K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

Deloitte

Senior AI Engineer - SFL Scientific

Columbus, OH · On-site

$100.90K - $138.60K/yr

Deloitte's Strategy & Transactions team is seeking a Senior AI Engineer to join SFL Scientific, a ... machine learning applications. Responsibilities : • Work with clients to design, develop, and ...

New

ComResource

Senior Engineer

Columbus, OH · On-site

$100.90K - $138.60K/yr

ComResource is looking for a Senior Engineer. We need someone to assist in developing and ... Knowledge of machine learning or data analytics concepts. * Experience mentoring engineers and ...

Pwc

NGA AI Engineer Senior Manager

Columbus, OH

$91K - $321.50K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... As a Senior Manager you will serve as a strategic advisor, leveraging your knowledge to guide large ...

ComResource

Senior Engineer

Columbus, OH · On-site

$97.60K - $134.10K/yr

ComResource is looking for a Senior Engineer. We need someone to assist in developing and ... Knowledge of data analytics or machine learning concepts. Experience mentoring engineers and ...

next page

Showing results 1-20

People also search for

All JobsMachine Learning Engineer JobsRemote Senior Machine Learning Engineer JobsRemote Senior Machine Learning Engineer Jobs in Columbus, OH

Remote Senior Machine Learning Engineer information

See Columbus, OH salary details

$72.9K

$138.4K

$185.5K

How much do remote senior machine learning engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for remote senior machine learning engineer in Columbus, OH is $138,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,300.00 and $156,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Senior Machine Learning Engineer, and why are they important?

To thrive as a Remote Senior Machine Learning Engineer, you need deep expertise in machine learning algorithms, statistical analysis, and strong programming skills (often in Python or similar languages), typically supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data engineering pipelines are commonly required, along with certifications like TensorFlow Developer or AWS Machine Learning Specialty. Excellent problem-solving, communication, and self-management skills help you collaborate remotely, lead projects, and explain complex models to stakeholders. These skills and qualities are vital for building scalable ML solutions, ensuring effective teamwork across distributed environments, and delivering impactful results.

How do Remote Senior Machine Learning Engineers typically collaborate with cross-functional teams despite working remotely?

Remote Senior Machine Learning Engineers often work closely with data scientists, product managers, and software engineers using digital collaboration tools such as Slack, Jira, and video conferencing platforms. Regular virtual meetings and code reviews are standard practices to ensure alignment on project goals and to facilitate knowledge sharing. Clear communication, proactive documentation, and adaptability to different time zones are key to effective teamwork in a remote environment. This structure allows for flexibility while maintaining strong collaboration and project momentum.

What does a Remote Senior Machine Learning Engineer do?

A Remote Senior Machine Learning Engineer designs, develops, and deploys machine learning models and systems while working from a location outside the traditional office. They collaborate with cross-functional teams, analyze large datasets, build scalable algorithms, and often mentor junior engineers. Their work helps organizations automate processes, gain insights, and improve products or services using data-driven approaches. Senior engineers are also responsible for ensuring model performance, reliability, and integration into production environments. Working remotely, they use various communication and collaboration tools to stay connected with their team.

What is the difference between Remote Senior Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Senior Machine Learning EngineerRemote Data Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models, collaborates with engineering teamsAnalyzes data, builds statistical models, provides insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

Remote Senior Machine Learning Engineers focus on designing, building, and deploying ML models, often working closely with engineering teams. Data Scientists analyze data and develop insights, but may not always deploy models. Both roles require strong technical skills and are highly sought after in tech industries, but their core responsibilities differ.

What are popular job titles related to Remote Senior Machine Learning Engineer jobs in Columbus, OH? For Remote Senior Machine Learning Engineer jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Remote Senior Machine Learning Engineer jobs in Columbus, OH look for? The top searched job categories for Remote Senior Machine Learning Engineer jobs in Columbus, OH are:
What cities near Columbus, OH are hiring for Remote Senior Machine Learning Engineer jobs? Cities near Columbus, OH with the most Remote Senior Machine Learning Engineer job openings:
Remote Senior Machine Learning Engineer jobs near you
Infographic showing various Remote Senior Machine Learning Engineer job openings in Columbus, OH as of May 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $138,405 per year, or $66.5 per hour.
Product Manager - Machine Learning Intelligence Operations

Product Manager - Machine Learning Intelligence Operations

JPMorgan Chase & Co.

Columbus, OH • On-site

Full-time

Medical, Retirement

Posted 24 days ago

JPMorgan Chase & Co. rating

8.1

Company rating: 8.1 out of 10

Based on 467 frontline employees who took The Breakroom Quiz

46th of 141 rated banks

Job description

Job Description
JPMorgan Chase Consumer and Community Bank (CCB) is seeking a talented and highly motivated leader to join the Machine Learning & Intelligent Operations (MLIO) team as Vice President, Product Manager. This role will support the Transcription and Conversational Insights Product Area. The MLIO team is dedicated to developing innovative solutions using AI, machine learning, and a design-thinking approach to significantly enhance both customer and employee experiences.
As a Product Manager in Machine Learning & Intelligent Operations (MLIO) team, you will define the strategy for your product, design, and execute on the product roadmap while embracing the latest Artificial Intelligence (AI) technologies and best practices. You will lead cross-functional teams comprising technologists, data scientists, researchers, designers, and analytics members to modernize the service experience for tens of millions of customers. Your relentless focus on the customer and employee experience will help establish the team's priorities to maximize the value of the product and the work of the modeling and development teams.
Job responsibilities
  • Define the product strategy, roadmap, prioritization, and backlog for machine learning applications

  • Lead agile product teams that include product associates, data scientists, machine learning engineers, and data analytics members

  • Manage existing product features and actively lead the research, definition, and development of new features to advance the product roadmap and performance

  • Maximize product value delivered through backlog creation, management, and prioritization of epics and user stories

  • Partner with user research and business/operations teams to analyze and ideate customer experience, behavior, and improvement opportunities

  • Prioritize strategies and solutions to enhance self-service utilization and reduce customer contact volume

  • Collaborate with Controls/Risk, Audit, Compliance, Data & Model Governance, and Technology to ensure readiness to deliver on the product roadmap

  • Stay abreast of industry trends, emerging technologies, and best practices in AI and machine learning to continuously improve product offerings

  • Foster a culture of innovation, collaboration, and continuous improvement within the team

Required qualifications, capabilities, and skills
  • 6+ years of experience in Technical Product Management, ideally with AI/ML-related products

  • Proven experience leading multi-disciplinary teams in a large, matrixed organization and fast-paced agile development environment

  • Demonstrated ability to make strategic decisions while candidly challenging the status quo to drive the right employee and customer outcomes

  • Applied expertise in a variety of AI and machine learning techniques and technologies

  • Strong technical acumen: ability to independently manage large and complex relationships with internal technology partners

  • Ability to harness data and the power of analytics and customer insights for comprehensive strategy planning

  • Excellent communicator with the ability to fluidly interact with senior leaders, key stakeholders, employees, and third-party vendors

  • Preferred qualifications, capabilities, and skills
    • Experience working in or with customer service operations

  • Strong problem-solving skills and the ability to think creatively and strategically

  • Experience with cloud-based AI/ML platforms and tool

Why Join Us
  • Be part of a forward-thinking team that is at the forefront of AI and machine learning innovation

  • Work on impactful projects that transform customer and employee experiences

  • Collaborate with a diverse and talented team of professionals

  • Enjoy a dynamic and inclusive work environment that fosters growth and development

  • If you are passionate about leveraging AI and machine learning to drive customer service transformation and have a proven track record in product management, we encourage you to apply

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
Operations teams develop and manage innovative, secure service solutions to meet clients' needs globally. Developing and using the latest technology, teams work to deliver industry-leading capabilities to our clients and customers, making it easy and convenient to do business with the firm. Teams also drive growth by refining technology-driven customer and client experiences that put users first, providing an unparalleled experience.

What JPMorgan Chase & Co. employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply