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Python Ml Developer Jobs in Kent, OH (NOW HIRING)

Further

Senior Data Engineer

Cleveland, OH · On-site

$102K - $139K/yr

Expert-level proficiency in Python and SQL is mandatory. * Strong software engineering background ... Experience architecting feature stores or data pipelines specifically for ML workloads. * The ...

Further

Senior AI Engineer

Cleveland, OH · On-site

$101K - $139K/yr

... ML solutions * 3+ years of experience working directly with GenAI/RAG/LLM architecture ... Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL ...

Further

Senior AI Engineer

Cleveland, OH · On-site +1

$101K - $139K/yr

... ML solutions * 3+ years of experience working directly with GenAI/RAG/LLM architecture ... Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL ...

Viasat

Communications Systems Engineer

Independence, OH · On-site

$100 - $125/hr

Expertise with MATLAB or python data analysis and simulation frameworks * Knowledge of analog and ... AI/ML (artificial intelligence/machine learning) * Experience with Jama and Jira Salary range $95 ...

Accenture

Forward Deployed AI Engineer

Cleveland, OH · On-site

$132K - $366K/yr

Minimum 10 years software engineering experience (Python, TypeScript/JavaScript, Java) with 10 ... Minimum of 2 years experience with modern AI/ML platforms such as: * OpenAI, Anthropic, or similar ...

Accenture

Forward Deployed Engineer Manager

Cleveland, OH · On-site

$94K - $316K/yr

What You Need: * 5+ years software engineering experience (Python, TypeScript/JavaScript, Java ... ML platforms such as: * OpenAI, Anthropic, or similar foundation model providers * Workflow ...

Nestle

Senior Supply Chain Analytics Analyst

Solon, OH · On-site

$105K - $120K/yr

... python Develop automated dashboards in Power BI for actionable insights Design and implement ... Mathematics, Statistics, Engineering, or a related discipline Plus, a minimum of 1 year of ...

Varsity Tutors

Machine Learning Tutor

Cleveland, OH · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Adapts instruction using Python with scikit-learn, Jupyter notebooks, and real-world data sets to ...

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All JobsPython Ml Developer JobsPython Ml Developer Jobs in Kent, OH

Python Ml Developer information

See Kent, OH salary details

$12

$53

$78

How much do python ml developer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for python ml developer in Kent, OH is $53.45, according to ZipRecruiter salary data. Most workers in this role earn between $44.04 and $60.72 per hour, depending on experience, location, and employer.

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What job categories do people searching Python Ml Developer jobs in Kent, OH look for?

The top searched job categories for Python Ml Developer jobs in Kent, OH are:

What cities near Kent, OH are hiring for Python Ml Developer jobs?

Cities near Kent, OH with the most Python Ml Developer job openings:

Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Kent, OH as of August 2026, with employment types broken down into 2% Internship, 85% Full Time, 7% Part Time, and 6% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $111,179 per year, or $53.5 per hour.

Senior Data Engineer

Cleveland, OH • On-site

Further
Telecommunications • 201 - 500 employees
Learn more about Furtherexternal

$102K - $139K/yr

Full-time

Re-posted 4 days ago

Job description

WE'RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.
Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let's chat!
SENIOR DATA ENGINEER
We are looking for a highly skilled and strategic Senior Data Engineer to lead in our data engineering consulting team. In this role, you will serve as the technical cornerstone for our clients, designing and deploying the sophisticated data architectures required to support production-grade Artificial Intelligence and Machine Learning applications. This is a high-impact role where you will set the standards for data quality, modeling, and orchestration across the organization. You will navigate diverse technical environments, and your work will directly enable the transition from experimental AI prototypes to resilient, enterprise-scale systems that deliver measurable business value.
What experience should you have:
  • 6+ years of data engineering experience with a focus on modern cloud platforms.
  • Expert-level proficiency in Python and SQL is mandatory.
  • Strong software engineering background with proficiency in Python for building custom integrations and data tools.
  • Deep production experience with dbt for data modeling and Airflow for orchestration.
  • Advanced knowledge of cloud-native data suites within GCP (preferred), AWS, or Azure.
  • Proficiency in managing environment reproducibility using Terraform and Docker, ensuring pipelines are CI/CD compliant.
  • Expert knowledge of cloud data warehouses (BigQuery or Snowflake) and their internal architecture.
  • Experience with AI workflows and data systems like vector databases, PostgreSQL, Vertex AI, Pub/Sub.

Preferred Qualifications
  • Experience architecting feature stores or data pipelines specifically for ML workloads.
  • The ability to navigate diverse technical environments and corporate cultures while maintaining a high standard of delivery and client satisfaction.
  • A commitment to software engineering best practices, including version control, unit testing, and comprehensive documentation.
  • An analytical thinker who anticipates scaling bottlenecks and security vulnerabilities before they impact production.

What you'll be doing in this role:
  • Architect and build scalable, high-volume ELT/ETL pipelines that ingest complex data sets from diverse client systems, including legacy on-premise databases, ERPs, and third-party APIs, into centralized cloud warehouses.
  • Lead the audit and optimization of existing data workflows, refactoring inefficient queries and data models to significantly reduce latency and operational costs for enterprise-scale environments.
  • Design and implement comprehensive data quality frameworks, ensuring automated testing and validation logic catches anomalies before they reach production models or executive dashboards.
  • Design and implement data pipelines specifically for AI workloads, including the management of vector databases to support Retrieval-Augmented Generation (RAG) and model inference.

What you'll need to accomplish in your first year:
  • Own the roadmap for data platform stability and scalability enhancements, ensuring the infrastructure can support the evolving needs of both corporate IT and AI research teams.
  • Provide technical mentorship to the engineering team, conducting rigorous code reviews and driving improvements in coding standards, documentation, and system reliability.
  • Standardize the organization's approach to the Modern Data Stack (MDS), driving the adoption of best practices in dbt, Airflow (Cloud Composer), and Beam (Dataflow) across diverse client engagements.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.
Apply today or check out all our opportunities!
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