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

Further

Senior AI Engineer

Cleveland, OH · On-site +1

$101K - $139K/yr

What experience should you have: * 10+ years of software engineering experience with at least 3 years dedicated to AI/ML application development. * Expert proficiency in Python AI application ...

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 ...

Keybank

Quant Analytics Assoc - Model Risk

Cleveland, OH · Hybrid

$68K - $103K/yr

... AI/ML algorithms) used for various risk predictive models, such as fraud risk, AML risk models, etc. * Proficiency in programming languages such as Python, R, SQL or SAS * Excellent written and ...

Deloitte

CyberArk Senior Consultant

Cleveland, OH · On-site

Experience with object-oriented programming using languages such as Java, Python, or JavaScript ... Basic understanding of AI/ML frameworks such as TensorFlow or PyTorch. Compensation The wage range ...

Elevance Health

Solutions Engineer Advisor Sr

Independence, OH · Hybrid

$54.25 - $70/hr

Experience leveraging AWS AI/ML services such as Amazon Bedrock, SageMaker, Comprehend, Textract ... Experience in Spark, PySpark, Scala, Python preferred. * Experience in Agile software development ...

Deloitte

FDE Senior Manager

Cleveland, OH · On-site

Bachelor's degree in Computer Science, Engineering, Information Technology, Cybersecurity, or a ... Familiarity with ML frameworks (PyTorch, TensorFlow) and model evaluation. Relevant certifications ...

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 ...

Varsity Tutors

Machine Learning Tutor

Akron, 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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Python Ml Developer information

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How much do python ml developer jobs pay per hour?

As of Jul 8, 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 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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

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 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.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
What are popular job titles related to Python Ml Developer jobs in Kent, OH? For Python Ml Developer jobs in Kent, OH, the most frequently searched job titles are:
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 July 2026, with employment types broken down into 1% Internship, 83% Full Time, 5% Part Time, 1% Temporary, and 10% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $111,179 per year, or $53.5 per hour.
Senior AI Engineer

Senior AI Engineer

Further

Cleveland, OH • On-site, Remote

$101K - $139K/yr

Full-time

Re-posted yesterday

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 AI ENGINEER

We are hiring a Senior AI Engineer to lead the development of our cloud-based (Google Cloud), commercial AI products. You will bridge the gap between experimental data science prototypes and production-grade software. You will architect the robust systems and LLMOps workflows necessary to transform AI models into reliable, enterprise-ready applications. By designing stable backend architectures and seamless integration layers, you will ensure our AI solutions are not just functional, but ethical, efficient, and high-value products that meet the rigorous demands of our commercial clients.

What experience should you have:

  • 10+ years of software engineering experience with at least 3 years dedicated to AI/ML application development.
  • Expert proficiency in Python AI application development and modern API architecture (REST, GraphQL, gRPC) using enterprise standards like static type checking and data validation.
  • Deep experience building production applications with LLM frameworks such as LangChain, LangGraph or LlamaIndex.
  • Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms.
  • Strong understanding of LLMOps principles, including model registry, versioning, and serving infrastructure specifically in Google Cloud.
  • Optional: Experience in Typescript development for prototyping and integrations
  • Optional: Proficiency with git workflows and understanding of standard application development processes

Preferred Qualifications

  • Knowledge of advanced prompt engineering and fine-tuning techniques (LoRA, PEFT).
  • Experience optimizing inference costs and latency for large-scale deployments.
  • Previous experience in a client-facing consulting role, managing diverse stakeholders and navigating complex organizational structures.
  • Any Google Cloud Professional Certification

What you'll be doing in this role:

  • Lead the implementation of rigorous evaluation frameworks to monitor model performance, drift, and cost in real-time.
  • Architect and develop high-performance backend services and APIs using Python (FastAPI) to serve large language models at scale.
  • Design advanced Retrieval-Augmented Generation (RAG) systems, selecting and managing vector databases and optimizing embedding strategies for accuracy and speed.
  • Establish comprehensive model observability and guardrail systems to monitor real-time performance, detect distribution drift, and implement automated safety filters that mitigate hallucinations, bias, and toxic outputs in production environments.
  • Build robust integration layers that connect AI agents securely to external enterprise systems, CRMs, and legacy databases.
  • Conduct code reviews, provide technical guidance, and foster a culture of continuous learning and innovation within the engineering team.
  • Collaborate with infrastructure teams to define deployment strategies, ensuring solutions scale dynamically under load.
  • Define the end-to-end architecture for AI products on cloud platforms (preferably Google Cloud Platform), ensuring high availability, security, and cost-effectiveness.

What you'll need to accomplish in your first year:

  • Develop reusable internal libraries and architectural patterns and standards to accelerate the delivery of AI solutions across multiple client engagements.
  • Mentor engineers on best practices for building deterministic software around probabilistic AI models.

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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