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Contract Google Machine Learning Engineer Jobs in Edgewood, KY

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New ...

Google Cloud Security - Manager

Cincinnati, OH

$62.75 - $83.50/hr

... machine learning security, container security, data protection, monitoring, and secure delivery ... Serving as the primary day-to-day client contact, driving outcomes across engineering, security ...

AI Software Engineer

Verona, KY · On-site +1

$51.50 - $68.25/hr

We are an engineering and innovation company working in different areas. Within the IT sector we ... machine learning, cognitive services (IBM Watson, AWS AI, Google AI, etc.), and big data ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... Google Cloud Platform, with cloud foundational certifications highly desirable - Extensive ...

DATA ENGINEER IV

Cincinnati, OH · On-site

$68 - $70/hr

Machine Learning Data Enablement squad in the Data Insights Tribe Required: In office 4 days a week minimum (Monday-Thursday) We're hiring a Data Engineer to join our newly launched Machine Learning ...

Senior AI Engineer - SFL Scientific

Cincinnati, OH · On-site

$100K - $137K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Agentic AI Engineer

Cincinnati, OH · On-site

$105K - $127K/yr

... machine learning models for classification, regression, NLP, or computer vision tasks. • Write ... teams (data engineers, researchers, and product managers) to integrate AI/ML solutions into ...

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Contract Google Machine Learning Engineer information

See Edgewood, KY salary details

$29

$48

$97

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

As of Jul 28, 2026, the average hourly pay for contract google machine learning engineer in Edgewood, KY is $48.25, according to ZipRecruiter salary data. Most workers in this role earn between $40.53 and $50.00 per hour, depending on experience, location, and employer.
What job categories do people searching Contract Google Machine Learning Engineer jobs in Edgewood, KY look for? The top searched job categories for Contract Google Machine Learning Engineer jobs in Edgewood, KY are:
Infographic showing various Contract Google Machine Learning Engineer job openings in Edgewood, KY as of June 2026, with employment types broken down into 33% Full Time, 65% Part Time, 1% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $100,351 per year, or $48.2 per hour.
Machine Learning Engineer

Machine Learning Engineer

Apex Informatics

Cincinnati, OH • On-site

Full-time

Posted 15 days ago


Job description

Below is my newest requirement. Please send Full Legal Name, LinkedIn, Location, Contact Details, C2C rate, and work authorization status with each submittal.
Client: Kroger
Location: Hybrid onsite in Cincinnati OH (local only)
Interview Mode: Virtual Interview
Type: Contract
Work authorization: Cannot work with OPT or CPT
Rate: Open (market rate)
We are seeking a dynamic Senior Machine Learning Engineer to lead the integration and operationalization of machine learning models. This role requires collaboration with data scientists and leadership teams, and a strong foundation in MLOps methodologies. Experience in diverse ML platforms, including Google Vertex AI and other cloud and open-source technologies, is essential. The candidate will bridge MLOps, data science, and leadership to ensure the smooth functioning of our ML infrastructure.
Qualifications:
Minimum of 4 years of experience in MLOps, with a demonstrated ability to work with various ML platforms.
Strong proficiency in Python and familiarity with data science methodologies.
Experience with cloud technologies, particularly Google Cloud and Vertex AI, and adaptability to technologies like Microsoft Azure or open-source tools.
Excellent communication skills, capable of bridging technical and business domains
Experience in developing state-of-the-art techniques for multi-stage, personalized, context-aware, and sequential recommender systems.
Hands-on experience working on recommender systems, drawing from ML techniques such as embedding based retrieval, reinforcement learning, transformers, and LLMs.
Capable software engineering skills to lead a multi stage recommender system model lifecycle from inception to production.