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Internship Machine Learning Engineer New Grad Jobs in Kentucky

$230 - $322/hr

As a Staff Machine Learning Engineer on Shopping Ads, you will lead the technical strategy and execution for the models that power Shopping Ads delivery. You will work across targeting, retrieval ...

$90 - $200/hr

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 ...

$124 - $196/hr

We are looking for a talented Machine Learning Engineer to work on Product Security, Content Safety, ML Fairness and Robustness efforts for LLMs across all of our research and production engineering ...

New

$129 - $215/hr

The Machine Learning Engineer will leverage their strong technical background and knowledge to support highly scalable machine learning-based applications, including both pipelines and services ...

$160 - $240/hr

By continuously evolving our models to handle new document types and edge cases, we help automate ... About The Role We are looking for a Machine Learning Engineer to join the ML - Document ...

New

$180 - $240/hr

We're hiring a Founding Machine Learning Engineer, Quality Intelligence to build the ML systems behind how we measure, improve, and scale data quality. You'll work on production systems at the ...

New

$150 - $210/hr

The Role As a Machine Learning Engineer in computer vision, you will own vision work from data and ... Follow us on LinkedIn, GitHub, and Hugging Face to hear about new roles, releases, and the work we ...

New

$140 - $210/hr

Where You Fit We are seeking Machine Learning Engineers (Applied Research & Model Development) to ... MLE III : Lead initiatives end-to-end, set technical direction, and identify new opportunities with ...

New

Machine Learning Intern

Louisville, KY ยท On-site

$27 - $42/hr

DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the ...

New

Machine Learning Intern

Lexington, KY ยท On-site

$27 - $42/hr

DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the ...

New

Machine Learning Intern

Louisville, KY ยท On-site

$27 - $42/hr

DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the ...

New

Machine Learning Intern

Lexington, KY ยท On-site

$27 - $42/hr

DS interns will have a designated data scientist mentor and will spend the majority of their time working on a data science project overseen by that mentor. The expectation is that at the end of the ...

New

$180 - $240/hr

Weave is looking for a Staff GenAI Engineer to join the Machine Learning Team specialised in voice and audio modalities, where you will be at the forefront of enabling product innovation and building ...

Machine Learning Tutor

Louisville, KY ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Machine Learning Tutor

Lexington, KY ยท Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Showing results 41-60

Internship Machine Learning Engineer New Grad information

What does an internship machine learning engineer new grad do?

An Internship Machine Learning Engineer New Grad typically works on developing, testing, and optimizing machine learning models under the guidance of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, model training, and evaluating model performance. They may also collaborate with cross-functional teams to integrate models into production or contribute to research projects. This role provides hands-on experience with real-world data and the opportunity to learn industry-standard tools and practices.

What are the key skills and qualifications needed to thrive as an internship machine learning engineer new grad?

To thrive as an Internship Machine Learning Engineer New Grad, you need a strong grasp of programming (especially Python), machine learning algorithms, data structures, and a relevant degree or coursework in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Strong analytical thinking, problem-solving abilities, and a willingness to learn make you stand out in this position. These skills enable you to contribute effectively to projects, quickly adapt to new challenges, and support innovative solutions in a fast-evolving field.

What types of projects do machine learning engineer interns typically work on?

Machine Learning Engineer interns often work on hands-on projects such as data preprocessing, model development, and conducting experiments to validate algorithms under the guidance of senior engineers. These projects might include building prototypes, optimizing existing machine learning models, or supporting data collection and annotation efforts. Interns are expected to collaborate closely with data scientists, software engineers, and product teams to align their work with real business needs. This experience not only helps interns build technical skills but also provides insight into how machine learning solutions are integrated into larger products or services.

What is the difference between Internship Machine Learning Engineer New Grad vs Machine Learning Engineer?

AspectInternship Machine Learning Engineer New GradMachine Learning Engineer
Required CredentialsTypically pursuing or recently completed a Bachelor's or Master's in CS, Data Science, or related fieldsBachelor's or higher in CS, Data Science, or related fields; often requires some professional experience
Work EnvironmentTemporary, learning-focused internship, often part-time or summerFull-time professional role in a team, responsible for deploying ML models and projects
Employer & Industry UsageInternships offered by tech companies, startups, and research labs; industry-wideFull-time roles in tech, finance, healthcare, and other sectors utilizing ML

The main difference between an Internship Machine Learning Engineer New Grad and a Machine Learning Engineer is experience level and job responsibilities. Internships are temporary, learning-focused positions for recent graduates or students, while full-time Machine Learning Engineers handle ongoing projects, deployment, and optimization of ML models in a professional setting.

What are the most commonly searched types of Machine Learning Engineer New Grad jobs in Kentucky?

The most popular types of Machine Learning Engineer New Grad jobs in Kentucky are:

What are popular job titles related to Internship Machine Learning Engineer New Grad jobs in Kentucky?

For Internship Machine Learning Engineer New Grad jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching Internship Machine Learning Engineer New Grad jobs in Kentucky look for?

The top searched job categories for Internship Machine Learning Engineer New Grad jobs in Kentucky are:

What cities in Kentucky are hiring for Internship Machine Learning Engineer New Grad jobs?

Cities in Kentucky with the most Internship Machine Learning Engineer New Grad job openings:

Infographic showing various Internship Machine Learning Engineer New Grad job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution.

Lead Machine Learning Engineer (VertexAI and GCP)

Infinity Solutions

Louisville, KY โ€ข On-site

$98K - $129K/yr

Contractor

Re-posted 4 days ago


Job description

Hi please let me know if interested in any opportunity.

Tech Lead

Louisville, KY

Description

Location- Onsite

Lead Machine Learning Engineer (MLOps & LMOps)

This position designs, builds, tests, and delivers production grade AI systems, with a specific focus on language model operations (LMOps)‿the deployment, monitoring, and scaling of both small and large language models. This position works in collaboration with Architecture, Engineering, and Data Science teams to operationalize intelligent systems that power AI and data science products. This position is responsible for implementing end to end pipelines for language models and traditional ML models, integrating CI/CD workflows, model monitoring, and infrastructure as code practices. The role contributes to the continuous improvement of AI infrastructure and deployment reliability across cloud native environments.

You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost efficient ML infrastructure. The ideal candidate must have a good understanding of ML algorithms, experience in model monitoring, performance optimization, Looker dashboards and infrastructure as code (IaC), ensuring ML models are production ready, reliable, and continuously improving. You will be interacting with multiple technical teams, including architects and business stakeholders to develop state of the art machine learning systems that create value for the business.

o Performs detailed design of complex applications and complex architecture components

o May lead a small group of developers in configuring, programming, and testing

o Fixes medium to complex defects and resolves performance problems

o Accountable for service commitments at the individual request level for in scope applications

o Monitors, tracks, and participates ticket resolution for assigned tickets

o Manages code reviews and mentors other developers

Tech Lead

Louisville, KY

Description

Onsite role

Machine Learning Engineer ‿ MLOps, VertexAI, LLMs, GenAI, ML Model Management

We are seeking a highly skilled MLOps Engineer to design, deploy, and manage machine learning pipelines in Google Cloud Platform (GCP). In this role, you will be responsible for automating ML workflows, optimizing model deployment, ensuring model reliability, and implementing CI/CD pipelines for ML systems.

You will work with Vertex AI, Kubernetes (GKE), BigQuery, and Terraform to build scalable and cost efficient ML infrastructure. The ideal candidate must have a good understanding of ML algorithms, experience in model monitoring, performance optimization, Looker dashboards and infrastructure as code (IaC), ensuring ML models are production ready, reliable, and continuously improving. You will be interacting with multiple technical teams, including architects and business stakeholders to develop state of the art machine learning systems that create value for the business.

o Under general supervision, works on software development assignments within a specific software functional area or product line

o Conducts unit testing on the module

o Involved in execution and reporting for system integration testing and regression testing