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Senior Full Stack Machine Learning Engineer Jobs in Columbus, OH

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

Senior AI Machine Learning Engineer

Columbus, OH · On-site

$118K - $156K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... The Hartfordis seeking aSenior AI Machine Learning Engineerwithin Employee Benefits Applied AI and ...

Java Full Stack Engineer

Columbus, OH · On-site

$50.75 - $65.50/hr

Info Way Solutions is seeking Java Full Stack Engineers at multiple experience levels to join a ... Intermediate, Senior, Super Senior) • Strong hands-on experience in Java, Python, and AWS • ...

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

Full-Stack Developers at CapTech are part of a capable, highly-motivated community who strive to ... Learning & Development - Programs offering certification and tuition support, digital on-demand ...

Full-Stack Developers at CapTech are part of a capable, highly-motivated community who strive to ... Learning & Development - Programs offering certification and tuition support, digital on-demand ...

Showing results 21-40

Senior Full Stack Machine Learning Engineer information

See Columbus, OH salary details

$43K

$130.2K

$184K

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

As of Sep 9, 2026, the average yearly pay for senior full stack machine learning engineer in Columbus, OH is $130,175.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,200.00 and $152,600.00 per year, depending on experience, location, and employer.

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

AspectSenior Full Stack Machine Learning EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Science, or related; experience with ML frameworksBachelor's/Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, integrates backend and frontendAnalyzes data, builds models, visualizes insights
Industry UsageTech, finance, healthcare, where deploying ML models is essentialResearch, analytics, consulting across various sectors

While both roles involve working with data and machine learning, the Senior Full Stack Machine Learning Engineer focuses on building and deploying complete ML solutions, including frontend and backend integration. In contrast, Data Scientists primarily analyze data and develop models to generate insights. The engineer's role is more application-oriented, whereas the Data Scientist's role is more research and analysis-focused.

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

The most popular types of Full Stack Machine Learning Engineer jobs in Columbus, OH are:

What cities near Columbus, OH are hiring for Senior Full Stack Machine Learning Engineer jobs?

Cities near Columbus, OH with the most Senior Full Stack Machine Learning Engineer job openings:

SR FULL STACK REACT DEVELOPER | COLUMBUS, OH (REMOTE)

Columbus, OH • On-site

Other

Posted 7 days ago


Key responsibilities

  • Develop and support modern web applications using React and related technologies.

  • Build modular, API-based microservices using Java, Spring Framework, and Spring Boot.

  • Collaborate with team members and stakeholders to deliver enterprise solutions through Agile development processes.


Job description

JOB TITLE: SR FULL STACK REACT DEVELOPER
JOB DURATION: 12+ MONTHS
JOB LOCATION: COLUMBUS, OH (REMOTE)
EXPERIENCE: 8+ YEARS
VISA: UCS

Job Description:

We are looking for a Senior Full Stack Developer with strong experience in modern web application development using React and the React ecosystem, Kubernetes and AWS, who will be part of a collaborative and agile team that supports and delivers enterprise solutions.

Basic Requirements:

  • Ability to successfully obtain a U.S. Federal Position of Trust (Entry on Duty) clearance designation.
  • Must reside in and be able to perform work in the United States.
  • Must possess a bachelor's degree.
  • 8+ years of progressive experience as a developer building UI for large-scale enterprise applications.
  • 5+ years of experience with front-end technologies like React, HTML5, TypeScript, JavaScript, Bootstrap, and CSS to bring concepts to life.
  • Three (3) or more years of experience building modular API-based microservices using Java (8, 21, or later), Spring Framework, and Spring Boot.
  • Experience developing modular, test-first, mobile-first, reusable components and web apps with React.
  • Experience developing modern front-end applications, including migration of legacy web applications developed using Angular to React.
  • Experience applying object-oriented design (OOD) principles and developing clean, well-architected, secure, scalable, and maintainable code.
  • At least four (4) years working as a developer on all phases of the Agile software development lifecycle.
  • Demonstrated experience working, collaborating and communicating with software development teams, stakeholders, and vendors.
  • Excellent written and verbal communication skills, including the ability to effectively convey complex technical concepts through presentations, technical documentation, architecture diagrams, UML models, and direct stakeholder engagement.
  • Two (2) or more years of experience supporting Federal IT projects; other government contract project experience will be considered.

Additional Qualifications (Preferred):

  • Experience with cloud-native application development and deployment, preferably on AWS, including services such as EC2, EKS/ECS, RDS, S3, Lambda, Secrets Manager, and CloudWatch.
  • Experience with source control and DevSecOps tooling, including Git/GitHub, GitHub Actions, Harness, Jenkins, ArgoCD, SonarQube, Checkmarx, Twistlock, and CI/CD pipeline implementation.
  • Experience using modern build and dependency management tools, including Gradle, npm, webpack, gulp, grunt, or similar technologies.
  • Experience with containerization and orchestration technologies, including Docker and Kubernetes, in production environments.
  • Experience with observability and monitoring platforms such as Splunk and New Relic.
  • Experience designing and operating event-driven and message-based architectures using technologies such as Apache ActiveMQ and Apache Kafka.
  • Experience working with data technologies, including SQL or similar query languages, relational databases (PostgreSQL, MySQL, AWS Aurora, or similar), and data formats such as XML and JSON.
  • Understanding of software testing methodologies, including functional, SOA, integration, and performance testing.
  • Experience designing, developing, and consuming web services, APIs, using REST, SOAP, and related technologies.
  • Experience building modular API-based microservices using Java (8, 21, or later), Spring Framework, and Spring Boot.
  • Experience implementing modern technology stacks including Java, AWS, Docker, Node.js, React, Python, PostgreSQL (or other enterprise RDBMS platforms such as Oracle or SQL Server), Kafka, and related technologies.
  • Experience working with NoSQL data stores such as MongoDB, DocumentDB, DynamoDB, or similar platforms.
  • Expertise in translating business and user needs into technical solutions, requirements documentation, product roadmaps, implementation plans, and delivery timelines using tools such as Jira and Confluence.
  • Experience working with Agile delivery teams and applying Agile methodologies, such as Scrum, to support iterative software development and successful project execution.
  • Demonstrated ability to support design and documentation of large-scale enterprise systems.
  • Experience working on digital transformation initiatives involving cloud modernization, process automation, system modernization, and adoption of emerging technologies.
  • Hands-on experience with software quality engineering practices, including unit, integration, and performance testing, as well as automated testing frameworks such as Chai, Jest, Jasmine, Karma, Cypress, or similar tools.
  • Experience with cloud-native technologies, including AWS certifications, Infrastructure as Code frameworks (Terraform, AWS CloudFormation, AWS CDK, Pulumi, or similar), containerized platforms, and advanced AWS services such as EMR and SageMaker.
  • Familiarity with multi-cloud environments, including AWS, Azure, and Google Cloud Platform (Google Cloud Platform).
  • In-depth knowledge of USCIS systems, processes, applications, databases, and electronic submission protocols is highly desirable.

Responsibilities:

  • Work as a Full-Stack React developer with a team of 5 9 full-stack developers, fostering a culture of continuous learning, collaboration, accountability, and professional growth.
  • Analyze complex business and technical challenges, evaluate impacts across interconnected systems, and develop scalable, user-centered solutions that align with enterprise objectives.
  • Define, communicate, and champion solution visions, architectures, technical roadmaps, and implementation strategies in collaboration with solution architects, product managers, and stakeholders.
  • Design and document modern application architectures, including web applications, microservices, APIs, data platforms, and cloud-native solutions using scalable, open-source technologies and design tools such as Lucidchart, Mural, or similar platforms.
  • Communicate complex technical concepts, architectural decisions, and solution approaches effectively to technical and non-technical stakeholders with diverse backgrounds and skill sets.
  • Perform end-to-end business process analysis to identify gaps, modernization opportunities, and improvements that enhance system performance and user experience.
  • Identify root cause analysis efforts by leveraging monitoring and observability tools, critical thinking, and cross-functional collaboration to resolve production and operational issues.
  • Collaborate across teams to design, develop, review, and deliver product features, proof-of-concepts, frameworks, and reusable solutions using iterative and incremental delivery approaches.
  • Champion modern software engineering practices, including code quality, architecture standards, technical excellence, and Agile delivery methodologies.
  • Represent engineering teams in client engagements, technical demonstrations, design reviews, and stakeholder presentations.

Public Trust Clearance:

  • Many of our roles require the hired candidate to go through public trust clearance.