Top 59 Python developer Jobs in Delaware, Oh

Senior AI Machine Learning Engineer
The Hartford —Columbus, OH
- $117,200 - $175,800 a year
- Full-time
- Hybrid work
- 6 years
- Computer Science
- Office
9d
Lead Software Engineer
JPMorganChase —Columbus, OH
- Full-time
- 5 years
- System design
- SQL
- Health insurance
- Tuition reimbursement
23h
System Security Engineer/Software Engineer Lead
Battelle —Columbus, OH
- $110,000 - $140,000 a year
- Full-time
- Hybrid work
- Computer Science
- Office
- Master's degree
- Wellness program
- Health insurance
8d
Senior Lead Software Engineer -Java/AWS/Agentic
JPMorganChase —Columbus, OH
- Full-time
- 5 years
- System design
- SQL
- Health insurance
- Tuition reimbursement
DevOps Software Engineer
The Hartford —Columbus, OH
- $96,800 - $145,200 a year
- Full-time
- Hybrid work
- Computer Science
- Office
- 3 years
Model Based Development Engineer
KPIT Technologies GmbH —Columbus, OH
- Full-time
- System design
- Mentoring
- Senior level
- Health savings account
- Paid holidays
Lead Software Engineer - Databricks/Spark/AWS
JPMorganChase —Columbus, OH
- Full-time
- 5 years
- SQL
- Mentoring
- Health insurance
- Tuition reimbursement
Software Engineer, Fleet Platform
Path Robotics —Columbus, OH
- Google Workspace
- Computer science
- Computer Science
- Paid parental leave
- Health insurance
Quick Apply
1d
Software Simulation Engineer, Sensor Rendering
Path Robotics —Columbus, OH
- Computer Science
- Mentoring
- Senior level
- Paid parental leave
- Dental insurance
Quick Apply
Principal Engineer I - Azure Cloud Engineer
Western Alliance Bank —Columbus, OH
- Full-time
- Office
- 8 years
- Bachelor's degree
- Wellness program
- Health insurance
Power Systems Automation Engineer
SEL Engineering Services, Inc. —Lewis Center, OH
- Full-time
- Research
- Mid-level
- Team management
- Paid holidays
- Disability insurance
Quick Apply
12d
Sr Risk Systems Developer
Community Choice Financial Family of Brands —United States
- Full-time
- Computer science
- Azure
- Computer Science
- Paid training
- Health savings account
DevOps / Platform Engineer
VBest Software Inc —Columbus, OH
- $65 - $70 an hour
- DevOps
- Mid-level
- Machine learning
Quick Apply
10h

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Senior AI Machine Learning Engineer
The Hartford —Columbus, OH
Bachelor’s degree in related field or 6+ years of equivalent experience in software engineering, data engineering, ML/DevOps engineering, applied AI engineering…
$117,200 - $175,800 a year
9d
Lead Software Engineer
JPMorganChase —Columbus, OH
Collaborate with product, design, and data partners to define technical strategies that improve user experience and automate key workflows.
23h

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Senior AI Machine Learning Engineer

The Hartford -
Columbus, OH

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Job Details

Full-time
$117,200 - $175,800 a year
9 days ago

Qualifications

AI models
AWS IAM
Cloud identity and access management (IAM)
Software engineering
Data storage
Cloud Logging
Engineering development testing
Team supervision
Git
Application deployment
Data governance
SQL
Machine learning cloud services
Machine intelligence
Model deployment
Team training
Mentoring
Developing automated testing protocols
Production monitoring
Monitoring system implementation
Model training
Cloud solution engineering
Cloud monitoring
Python
Software architecture
Database software proficiency

Full Job Description

Job Details

Location:

Columbus, OH

Category:

Data & Analytics

Employment Type:

Full time

Job Ref:

R2626256-174

Sr Data Engineer - GE07BE

We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

The Hartford is seeking a Senior AI Machine Learning Engineer within Employee Benefits Applied AI and Analytics (EB AIA) to help build, deploy, and sustain enterprise-scale predictive and applied AI solutions across pricing, underwriting, sales related EB business workflows. As a Senior AI/ML engineer you will manage and modernize the existing predictive model portfolio while helping the team expand into generative AI, agentic AI and other applied AI capabilities.

The role is intended for a hands-on technical lead who can execute approved solution designs, deploy production-ready AI and ML components, operate reliable model pipelines, and guide junior engineers. The person should be able to translate architecture and design direction into working, governed, and production assets with minimal supervision.

Team Description

The Employee Benefits Applied AI and Analytics team provides insight, automation, and augmentation across the policy lifecycle for Employee Benefits customers and internal business stakeholders. EB AIA supports a portfolio that spans sales, pricing, underwriting, policy installation, renewal, service, and operational workflows.

In addition to the existing portfolio of Predictive AI assets, the team is scaling an end-to-end AI-driven reimagination of EB underwriting and service organizations. The team partners closely with enterprise platform enablement team to apply consistent architecture and engineering practices while tailoring solutions for accuracy, transparency, scalability, and business usability.

Primary Responsibilities

Lead day-to-day engineering execution for the EB predictive model portfolio, including pricing and underwriting models, scoring pipelines, model refreshes, monitoring, data validations, and production support.

Build, deploy, and maintain AI/ML components and data pipelines that support applied AI use cases across pricing, underwriting, sales, service, renewal, and policy lifecycle workflows.

Implement approved solution designs from senior Applied AI Engineers, Architects, and Data Scientists; translate design patterns into tested, reliable production code and workflows.

Support the initial build-out of generative AI and agentic AI solutions, including prompt orchestration, retrieval-augmented generation patterns, evaluation workflows, guardrails, and integration with existing EB data and application ecosystems.

Develop and operate batch and near-real-time data/AI pipelines for model training, feature generation, inference, post-processing, business rules integration, and downstream consumption.

Deploy and sustain production AI services, jobs, APIs, and workflows in AWS and GCP environments using approved CI/CD, testing, observability, security, and operational practices.

Own implementation quality for assigned components, including code reviews, unit/integration testing, documentation, runbooks, production readiness checks, and incident response support.

Guide and mentor junior engineers by breaking down technical work, reviewing code, explaining model/data pipeline patterns, and ensuring consistent engineering practices.

Partner with Data Scientists, Data Engineers, Asset Owners, Underwriting, Pricing stakeholders to understand requirements, validate outputs, resolve data issues, and ensure model solutions fit business workflows.

Maintain model and pipeline governance artifacts, including lineage, model inputs/outputs, monitoring metrics, validation evidence, operational controls, and handoff documentation.

Identify risks, bottlenecks, and operational gaps in deployed AI/ML solutions and recommend practical improvements under the guidance of senior technical leadership.

Minimum Requirements

Bachelor’s degree in related field or 6+ years of equivalent experience in software engineering, data engineering, ML/DevOps engineering, applied AI engineering, or closely related technical roles.

Master's degree in computer science, engineering, information technology, MIS, data science, or related discipline preferred.

Strong hands-on expertise in Python, SQL, SDLC practices, Git-based development, automated testing, and production-grade code delivery.

Experience deploying and operating data, AI, or ML workloads in AWS and GCP, including cloud storage, managed compute, orchestration, IAM-aware access patterns, logging, and monitoring.

Experience with ML engineering concepts such as feature pipelines, model training workflows, batch scoring, inference services, model monitoring, drift detection, validation, retraining, and production support.

Ability to work within defined architecture, enterprise security standards, data governance expectations, coding standards, and operational controls.

Ability to lead implementation work, guide junior engineers, communicate tradeoffs, and manage multiple model/pipeline deliverables with limited day-to-day direction.

Preferred Experience

Experience in insurance, employee benefits, pricing, underwriting, risk selection, sales enablement, or policy lifecycle analytics.

Experience supporting predictive model portfolios that require periodic refreshes, performance tracking, business validation, and governed production deployment.

Experience with generative AI or agentic AI implementation patterns, including RAG, prompt evaluation, LLM application integration, AI safety controls, human-in-the-loop workflows, and model output validation.

Experience with orchestration and workflow tools such as Airflow, Cloud Composer, Step Functions, Vertex AI Pipelines, or comparable enterprise platforms.

Experience with CI/CD, containers, APIs, infrastructure-as-code concepts, observability, and production incident management.

Success Profile

A successful candidate will be a hands-on engineering lead who can take a generated or approved architecture, convert it into deployable assets, keep predictive AI models running reliably, and help the team move into applied AI delivery. The candidate should be comfortable doing implementation work across pricing and underwriting under senior supervision, while also raising the capability of junior engineers through practical technical guidance.

This role will have a Hybrid work schedule, with the expectation of working in an office 3 days a week

Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

$117,200 - $175,800

Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

Apply Now

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python developer jobs in delaware, oh

Senior AI Machine Learning Engineer

Lead Software Engineer

System Security Engineer/Software Engineer Lead

Senior Lead Software Engineer -Java/AWS/Agentic

DevOps Software Engineer

Model Based Development Engineer

Lead Software Engineer - Databricks/Spark/AWS

Software Engineer, Fleet Platform

Software Simulation Engineer, Sensor Rendering

Principal Engineer I - Azure Cloud Engineer

Power Systems Automation Engineer

Sr Risk Systems Developer

DevOps / Platform Engineer

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