2

Remote Full Stack Machine Learning Engineer Jobs in Ohio

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Develop and integrate machine learning workflows - including training data preparation, model ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Develop and integrate machine learning workflows -- including training data preparation, model ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Familiarity with observability tools (Prometheus, Grafana, ELK stack) and Service Now incident ...

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$55 - $73.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Familiarity with observability tools (Prometheus, Grafana, ELK stack) and Service Now incident ...

Digital - Principal SRE (AI Engineer)

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Familiarity with observability tools (Prometheus, Grafana, ELK stack) and Service Now incident ...

You will use your full-stack software engineering experience to architect and develop a mix of custom and third-party solutions to help us maintain our leadership position in transportation ...

You will use your full-stack software engineering experience to architect and develop a mix of custom and third-party solutions to help us maintain our leadership position in transportation ...

Digital - Principal SRE

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Familiarity with observability tools (Prometheus, Grafana, ELK stack) and Service Now incident ...

Digital - Principal SRE

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Familiarity with observability tools (Prometheus, Grafana, ELK stack) and Service Now incident ...

Digital - Principal SRE

Columbus, OH · On-site +1

$53.50 - $71.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Familiarity with observability tools (Prometheus, Grafana, ELK stack) and Service Now incident ...

Digital - Principal SRE

Columbus, OH · On-site +1

$55 - $73.25/hr

Collaborate with cross-functional teams to integrate machine learning models into production ... Familiarity with observability tools (Prometheus, Grafana, ELK stack) and Service Now incident ...

[US] Software Engineer III

Mason, OH · On-site +1

$54 - $72.75/hr

... Machine Learning, and IoT, a career at Benchmark Gensuite means you will continuously use and ... Strong debugging and troubleshooting skills across the full stack * Development Tools: Familiarity ...

Software Engineer

Beavercreek, OH · On-site +1

$69K - $158K/yr

Remote Work: Hybrid Job Number: R0242981 Location: Beavercreek,OH,US Share job via: Share Software Engineer The Opportunity: As a full stack developer, you can resolve a problem with a complete end ...

AI Engineer

Cincinnati, OH · On-site +1

$109K - $132K/yr

Research, develop, and implement machine learning algorithms and models for tasks such as ... Medpace Overview Medpace is a full-service clinical contract research organization (CRO). We ...

Showing results 41-60

Remote Full Stack Machine Learning Engineer information

What is a remote full stack machine learning engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote full stack machine learning engineer?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.

What are some common challenges faced by remote full stack machine learning engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

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

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Ohio?

The most popular types of Full Stack Machine Learning Engineer jobs in Ohio are:

What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Ohio?

For Remote Full Stack Machine Learning Engineer jobs in Ohio, the most frequently searched job titles are:

What cities in Ohio are hiring for Remote Full Stack Machine Learning Engineer jobs?

Cities in Ohio with the most Remote Full Stack Machine Learning Engineer job openings:

Infographic showing various Remote Full Stack Machine Learning Engineer job openings in Ohio as of June 2026, with employment types broken down into 73% Full Time, 19% Part Time, 4% Contract, and 4% Nights. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution.

Senior AI Full stack Software Engineer

McKesson

Columbus, OH • On-site, Remote

$131K - $218K/yr

Full-time

Re-posted 4 days ago


McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

47th of 86 rated pharmaceutical


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

We are seeking a highly skilled and experienced Senior AI Full Stack Software Engineer to join our innovative team at CMM. This role involves designing, developing, and deploying end-to-end AI-powered solutions, from robust backend services to intuitive user interfaces, to enhance our healthcare and decision-making platforms.

Key Responsibilities

  • Lead AI-Driven Healthcare Solutions: Design and deploy AI applications that support decision-making, patient engagement, and operational efficiency.

  • Integrate AI into EHRs and Clinical Systems: Build scalable systems that incorporate LLMs, voice/image recognition, and document parsing into existing healthcare ITinfrastructure.

  • Develop and Optimize Data Pipelines: Ensure secure, HIPAA-compliant data pipelines for training and deploying AI models using structured and unstructured healthcare data (e.g., clinical notes, imaging, lab results).

  • Model Evaluation and Compliance: Apply rigorous evaluation metrics (e.g., sensitivity, specificity, AUC-ROC) and ensure models meet regulatory and ethical standards.

  • Mentor and Lead: Guide junior engineers and contribute to the strategic direction of AI initiatives within the organization.

  • Rapid AI prototyping and iteration with product representatives to vet multiple concepts

We are unable to provide sponsorship for this role presently or in the future.

Priority will be given to candidates who reside in the Columbus, OH and Atlanta, GA metropolitan area.

Minimum Qualifications

  • 10+ years of software engineering experience, with 4+ years in AI/ML development preferred.

  • B.S. degree in Computer Science or related engineering discipline, or equivalent experience

Critical Skills

  • 2+ years of experience building AI solutions in healthcare or lifesciences.

  • Deep understanding of healthcare data standards (e.g., HL7, FHIR) and compliance frameworks (e.g., HIPAA, GDPR).

  • Healthcare AI Expertise: Proven ability to build AI models for clinical NLP, medical imaging, patient risk stratification, and carepersonalization.

  • LLM & RAG Systems: Skilled in building retrieval-augmented generation systems using tools likePydantic, Semantic Kernel,LangChain,LlamaIndex, and vector databases.

  • Experienced in creating custom AI agents or spec-driven tools.

  • Experience writing skills for Claude, Copilot, Codex etc.

  • Prompt Engineering & Optimization: Advanced techniques for prompt tuning, caching, and benchmarking.

  • Full Stack Development: Proficiency in Python, Node.js, and modern web frameworks.

Preferred Skills

  • Cloud & DevOps: Experience with secure cloud environments (AWS/GCP/Azure), containerization (Docker, Kubernetes), and CI/CD pipelines.

  • AI Tooling: Familiarity with OpenAI, Hugging Face,PyDanticAI, TensorFlow,PyTorch, and healthcare-specific AI libraries.

  • Communication & Leadership: Ability to communicate complex AI concepts to clinical and executive stakeholders and lead cross-functional teams.

  • Experience mentoring and developing juniors in development an AI concepts/best practices.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$131,000 - $218,300

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!


What McKesson employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom