Top 29 Machine learning engineer/scientist Jobs in Columbus

Machine Learning / Data Science Engineer
CapTech Consulting —Columbus, OH
- Full-time
- Azure
- Management
- DevOps
- Loan repayment program
- Disability insurance
Quick Apply
Associate - Product Analyst - Machine Learning & Intelligent Operations
JPMorganChase —Columbus, OH
- Full-time
- Mid-level
- Office
- High school diploma or GED
- Health insurance
- Tuition reimbursement
4d
US Tech - AI Engineering Senior Associate
PRICE WATERHOUSE COOPERS —Columbus, OH
- $55,000 - $187,000 a year
- Computer Science
- Bachelor's degree
- Mentoring
- Paid holidays
- Health insurance
Lead Machine Learning / Data Science Engineer
CapTech Consulting —Columbus, OH
- Full-time
- 7 years
- Azure
- Management
- Loan repayment program
- Disability insurance
Quick Apply
Machine Learning Engineer II
Mimecast —Columbus, OH
- $124,000 - $186,000 a year
- Full-time
- Hybrid work
- Computer Science
- Mid-level
- Office
Data Scientist Engineer - SFL Scientific
Deloitte —Columbus, OH
- $95,600 - $188,400 a year
- Full-time
- Azure
- Computer Science
- Office
Digital - Principal SRE (AI Engineer)
Huntington Bank —Columbus, OH
- Full-time
- Computer Science
- 5 years
- DevOps
AVP Applied AI, Small Business
The Hartford —Columbus, OH
- $182,400 - $273,600 a year
- Full-time
- Hybrid work
- Computer Science
- Data analysis skills
- 11+ years
Senior Product Associate
JPMorganChase —Columbus, OH
- Full-time
- Computer Science
- Mid-level
- Analysis skills
- Health insurance
- Tuition reimbursement
Product Manager - Machine Learning Intelligence Operations
JPMorganChase —Columbus, OH
- Full-time
- 6 years
- Office
- Continuous improvement
- Health insurance
- Tuition reimbursement
Senior ML Ops Engineer
Mimecast —Columbus, OH
- $148,000 - $222,000 a year
- Full-time
- Hybrid work
- System design
- Office
- Mentoring
Senior AI Engineer - SFL Scientific
Deloitte —Columbus, OH
- $128,000 - $252,500 a year
- Full-time
- Computer science
- Azure
- Computer Science
Senior Data Scientist Engineer - SFL Scientific
Deloitte —Columbus, OH
- $128,000 - $252,500 a year
- Full-time
- Azure
- Computer Science
- Office
Senior Cloud Software Engineer - Intelligent Document Processing
The Hartford —Columbus, OH
- $137,200 - $205,800 a year
- Full-time
- Hybrid work
- Computer Science
- 5 years
- System design
Solutions Architect
CapTech Consulting —Columbus, OH
- Full-time
- Azure
- Computer Science
- Office
- Loan repayment program
- Disability insurance
Quick Apply
Applied AI Health Data System Engineer-Senior Manager
PRICE WATERHOUSE COOPERS —Columbus, OH
- $124,000 - $280,000 a year
- 6 years
- HIPAA
- SQL
- Paid holidays
- Health insurance
Boiler Operator, Energy Center - 2nd shift
Abbott Laboratories —Columbus, OH
- $24.65 - $49.25 an hour
- Full-time
- Classroom
- Sanitation
- Mid-level
- Paid holidays
- Health insurance
AVP Applied AI, Claims
The Hartford —Columbus, OH
- $182,400 - $273,600 a year
- Full-time
- Hybrid work
- 7 years
- Computer Science
- Office
ERP AI Engineer - Manager
PRICE WATERHOUSE COOPERS —Columbus, OH
- $99,000 - $232,000 a year
- 7 years
- Oracle
- Computer Science
- Paid holidays
- Health insurance
Staff Software Engineer - Hybrid
The Hartford —Columbus, OH
- $116,000 - $174,000 a year
- Full-time
- Hybrid work
- Computer science
- 6 years
- Computer Science

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machine learning engineer/scientist jobs near columbus

Machine Learning / Data Science Engineer

CapTech Consulting -
Columbus, OH

Quick Apply

Job Details

Full-time

Benefits

Loan repayment program
Disability insurance
Health insurance
Paid time off
Family leave
401(k) matching

Qualifications

AI models
Containerization systems
Azure SQL Database
Statistics
Commercial use (data warehousing systems)
Cloud analytics services
Databricks
Big data projects
Azure
Management
Predictive modeling analysis
Cloud data warehouses
Automation
Finance
Business development within consulting
Computer vision
DevOps
Spark
NoSQL
Sales proposal writing
Mid-level
AI platforms (beyond public GPTs)
Scalable systems
Managing data teams
Computational framework
Snowflake
Prompt engineering
Microservices
SQL
Production systems

Full Job Description

Company Description

CapTech is an award-winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. At CapTech, we’re passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country.

Job Description

CapTech Machine Learning Engineers are responsible for designing and implementing data-driven solutions for our clients, with a specific focus on building and deploying scalable machine learning systems in enterprise environments. CapTech employees enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other CapTech analysts, architects, and our clients.

Specific responsibilities for the Machine Learning Engineer position include:

Strategizing with clients, data scientists, engineers, and other members of cross-functional teams to implement end-to-end machine learning solutions and identify new machine learning and data science approaches to meet business needs
Deconstructing client needs into data-driven processes/models and analytical measures.
Analyzing and transforming large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP).
Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, natural language processing, risk scoring).
Productionizing ML systems with a focus on optimization and scalability to satisfy clients’ requirements.
Growing CapTech’s Machine Learning and Data Science practices through delivering client presentations, writing proposals, attending various business development events, and leading teams of junior data scientists and engineers.

Qualifications

Bachelor's degree or equivalent combination of education and experience.
Hands-on experience manipulating and analyzing large (multi-billion record) data sets.
Hands-on experience developing data-driven solutions using Python, Scala, or similar languages.
Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting.
Proficiency with containerization (e.g., Docker) and microservices.
Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS
Comfort and proficiency in framing data-driven problems from cross-industry business requirements.
Experience applying analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)
Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, natural language processing, computer vision).
Knowledge of DevOps and automation best practices.
Knowledge of statistics and statistical modeling methods.
Knowledge of model management and model versioning best practices.
Experience working with LLMs (e.g., GPT, Claude, Mistral, etc.) in production setting
Experience with prompt engineering, MCP and RAG, and agentic AI architectures
Strong understanding of conversational UX and prompt evaluation metrics
Experience with agentic frameworks in practice (langchain, n8n, pydantic, etc.)
Experience with multi-agent orchestration

Additional Information

We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we’ve launched extended benefits to help meet our employees’ needs.

CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs.
Learning & Development – Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths
Modern Health –A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life’s ups and downs
Carrot Fertility –Inclusive fertility and family-forming coverage for all paths to parenthood – including adoption, surrogacy, fertility treatments, pregnancy, and more – and opportunities for employer-sponsored funds to help pay for care
Fringe –A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them – ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more
Employee Resource Groups – Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations
Philanthropic Partnerships – Opportunities to engage in partnerships and pro-bono projects that support our communities.
401(k) Matching – Generous matching and no vesting period to help you continue to build financial wellness

CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness — each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email [email protected].

At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Quick Apply

Refine Your Search

machine learning engineer/scientist jobs in columbus

Machine Learning / Data Science Engineer

Associate - Product Analyst - Machine Learning & Intelligent Operations

US Tech - AI Engineering Senior Associate

Lead Machine Learning / Data Science Engineer

Machine Learning Engineer II

Data Scientist Engineer - SFL Scientific

Digital - Principal SRE (AI Engineer)

AVP Applied AI, Small Business

Senior Product Associate

Product Manager - Machine Learning Intelligence Operations

Senior ML Ops Engineer

Senior AI Engineer - SFL Scientific

Senior Data Scientist Engineer - SFL Scientific

Senior Cloud Software Engineer - Intelligent Document Processing

Solutions Architect

Applied AI Health Data System Engineer-Senior Manager

Boiler Operator, Energy Center - 2nd shift

AVP Applied AI, Claims

ERP AI Engineer - Manager

Staff Software Engineer - Hybrid

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