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Contract Google Machine Learning Engineer Jobs in Akron, OH

Software Engineer I, MLOps (Python/Big Data)

Cleveland, OH · On-site

$111K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role focuses on the operational side of machine learning rather than model development. You will partner closely with software engineers, data engineers, data scientists, and platform teams to ...

Collaborate with data engineers, software engineers, machine learning engineers, architects ... Experience with major cloud and AI platforms such as AWS, Microsoft Azure, or Google Cloud. * Deep ...

CTIO AI Engineering Manager

Cleveland, OH

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Data Engineer III

Cleveland, OH · On-site

$110K - $133K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

The successful candidate will also support AI and machine learning initiatives, including data preparation, feature engineering, Generative AI integrations, and MLOps processes. Responsibilities

New

IT Data Scientist III

Cleveland, OH · On-site

$120 - $180/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior data science developer specialized in design and development of machine learning models. Senior data scientists are expected to be self-sufficient and able to assist in coaching junior data ...

IT Data Scientist III

Brooklyn, OH · On-site

$120 - $160/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior data science developer specialized in design and development of machine learning models. Senior data scientists are expected to be self-sufficient and able to assist in coaching junior data ...

IT Data Scientist III

Cleveland, OH · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior data science developer specialized in design and development of machine learning models. Senior data scientists are expected to be self-sufficient and able to assist in coaching junior data ...

Lead Palantir Foundry Engineer

Cleveland, OH · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

The ideal candidate combines expertise in Data Science, Advanced Analytics, Machine Learning, and ... Collaborate across data science, engineering, and business teams to deliver scalable solutions.

NGA AI Engineer Manager

Cleveland, OH

$73K - $244K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

US Tech - AI Engineering Senior Associate

Cleveland, OH

$55K - $187K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Senior AI Engineer

Cleveland, OH · On-site

$125 - $145/hr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

This position requires a deep understanding of machine learning, deep learning, and software development principles. The AI Engineer III will lead the design, development, and optimization of AI ...

Python Developer

Strongsville, OH · On-site

$46.25 - $64/hr

Python Programming: Proficiency in Python language and its ecosystem. * Frameworks: Knowledge of ... Data Analysis/Machine Learning: Utilizing Python libraries like Pandas, NumPy, and Scikit-learn for ...

Senior AI Engineer

Cleveland, OH · On-site

$125K - $145K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

This position requires a deep understanding of machine learning, deep learning, and software development principles. The AI Engineer III will lead the design, development, and optimization of AI ...

New

Lead AI and Data Science Engineer II

Cleveland, OH · On-site

$99K - $130K/yr

Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...

Showing results 41-60

Contract Google Machine Learning Engineer information

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How much do contract google machine learning engineer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for contract google machine learning engineer in Akron, OH is $46.81, according to ZipRecruiter salary data. Most workers in this role earn between $39.33 and $48.51 per hour, depending on experience, location, and employer.

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Infographic showing various Contract Google Machine Learning Engineer job openings in Akron, OH as of June 2026, with employment types broken down into 29% Full Time, 69% Part Time, 1% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $97,373 per year, or $46.8 per hour.

Research Engineer II - ML Ops

GE Healthcare

Beachwood, OH • On-site

Other

Posted 4 days ago


GE HealthCare rating

8.4

Company rating: 8.4 out of 10

Based on 137 frontline employees who took The Breakroom Quiz

99th of 490 rated machine equipment manufacturers


Job description

Job Description Summary
Are you passionate about building reliable cloud infrastructure that helps researchers innovate faster? In this role, you will work at the intersection of cloud engineering, machine learning operations, and research computing, helping teams develop, test, and deploy cutting-edge solutions that advance MIM Research initiatives.
You'll collaborate with researchers, engineers, and infrastructure partners to create scalable AWS-based environments, develop internal tools, and build engineering solutions that enable impactful research. We are looking for someone who enjoys solving complex problems, learning new technologies, and working in a collaborative, mission-driven environment.
Job Description
Key Responsibilities
In this role, you will:
  • Partner with DevOps and infrastructure teams to migrate, optimize, and support research workloads on AWS cloud platforms.
  • Design, build, and maintain machine learning operations (MLOps) pipelines that support model training, evaluation, deployment, and monitoring.
  • Develop prototypes and internal tools that accelerate experimentation, model development, and research workflows.
  • Translate research objectives into scalable, maintainable, and well-documented engineering solutions.
  • Promote and support engineering best practices, including:
    • Code quality, testing, and reliability
    • Documentation and version control
    • Data management and governance
    • Experiment tracking and reproducibility
  • Effectively manage multiple projects while balancing fast-paced research needs with long-term engineering sustainability.
  • Provide technical guidance and mentorship to early-career engineers and support knowledge sharing across teams.
  • Collaborate closely with research scientists, product teams, and infrastructure partners to deliver impactful solutions.

Required Qualifications
Education & Experience
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 2 to 4 years of experience in DevOps, Site Reliability Engineering (SRE), cloud infrastructure, or related technical roles.
  • Experience supporting production systems within Amazon Web Services (AWS).

Cloud & Infrastructure
  • Experience working with AWS services such as:
    • Compute: EC2, ECS, EKS, Lambda
    • Storage: S3, EFS
    • Data: DynamoDB
    • Machine Learning: SageMaker (training, pipelines, and deployment)
  • Experience with Infrastructure as Code (IaC) tools such as Ansible, Terraform, CloudFormation, or AWS CDK.
  • Familiarity with containerization and orchestration technologies such as Docker, Docker Compose, and Kubernetes.

DevOps & Data Engineering
  • Experience building and maintaining continuous integration and continuous deployment (CI/CD) systems, including tools such as GitHub Actions, GitLab CI, or Jenkins.
  • Strong foundation in Linux systems administration.
  • Experience with monitoring and observability practices using tools such as Prometheus, Datadog, or similar technologies.

Programming & Software Engineering
  • Understanding of software engineering best practices, including:
    • Software design patterns
    • API development (REST and gRPC)
    • Testing methodologies and maintainable code architecture

Research & Applied Machine Learning
  • Experience supporting research environments or collaborating closely with research teams.
  • Ability to work effectively with evolving requirements, experimentation, and iterative development processes.

Collaboration & Leadership
  • Ability to lead technical initiatives involving multiple stakeholders and cross-functional teams.
  • Experience mentoring engineers and supporting the adoption of engineering best practices.
  • Strong communication skills with the ability to connect technical concepts across research and engineering audiences.

Preferred Qualifications
While not required, the following experiences would be valuable:
  • Experience with large-scale distributed computing frameworks such as Spark or Ray.
  • Background in high-performance computing (HPC) or research computing environments.
  • Familiarity with data governance, compliance requirements, or regulated industries.
  • Contributions to open-source projects or published research.
  • Relevant certifications such as:
    • RHCSA or RHCE
    • CKAD
    • AWS Certified Solutions Architect - Associate
    • Or equivalent hands-on experience

What Success Looks Like
In this role, you will help create an environment where:
  • Research teams can efficiently train, evaluate, and deploy machine learning models.
  • Reliable and scalable infrastructure enables research teams to innovate with confidence.
  • Best practices for reproducibility, testing, governance, and documentation are consistently adopted.
  • Engineers at all levels receive mentorship and opportunities to grow.
  • Projects are delivered effectively and aligned with organizational priorities.
  • Research and engineering teams work together seamlessly to accelerate meaningful outcomes.

Why Join Us?
  • Help build technology that empowers researchers and drives innovation.
  • Work alongside collaborative teams of researchers, engineers, and technical leaders.
  • Contribute to meaningful projects with real-world impact.
  • Grow your technical expertise across cloud infrastructure, machine learning operations, and research computing.
  • Share knowledge, mentor others, and continue developing your leadership skills in a supportive environment.
  • Be part of a culture that values diverse perspectives, continuous learning, and inclusive collaboration.

#LI-CC1
We will not sponsor individuals for employment visas, now or in the future, for this job opening.
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: Yes

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