2

Machine Learning Remote Internship Jobs in Kentucky

$94K - $113K/yr

Familiarity with big data technologies, machine learning, and data analysis preferred. * Experience ... Remote apply for this job

$94K - $113K/yr

Familiarity with big data technologies, machine learning, and data analysis preferred. * Experience ... Remote apply for this job

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

next page

Showing results 1-20

Machine Learning Remote Internship information

What types of projects can I expect to work on during a Machine Learning Remote Internship?

During a remote machine learning internship, you can expect to contribute to projects such as data preprocessing, model development, and performance evaluation. Interns often work on real-world datasets, applying techniques like regression, classification, clustering, or deep learning, depending on the organization's focus. Collaboration with data scientists, engineers, and other interns is common, typically via virtual meetings and shared code repositories. These projects provide hands-on experience and often culminate in presenting your findings to the team, offering valuable exposure to industry-standard workflows and tools.

What is a Machine Learning Remote Internship?

A Machine Learning Remote Internship is a temporary, structured work experience where interns contribute to machine learning projects from a remote location, such as their home. Interns typically work with teams on tasks like data preprocessing, building models, and evaluating results, while gaining practical knowledge and mentoring. These internships are ideal for students or recent graduates looking to develop their skills in machine learning, programming, and data science without the need to relocate. They often involve working with Python, popular ML libraries, and real-world datasets. Communication and collaboration are maintained through online tools and regular meetings.

What are the key skills and qualifications needed to thrive as a Machine Learning Remote Intern, and why are they important?

To thrive as a Machine Learning Remote Intern, you need a solid background in programming (especially Python), mathematics/statistics, and a foundational understanding of machine learning concepts, often gained through coursework or relevant projects. Familiarity with machine learning libraries (like TensorFlow, PyTorch, and scikit-learn), version control systems (such as Git), and cloud platforms is typically expected. Strong problem-solving abilities, self-motivation, and effective remote communication set top interns apart. These skills and qualities enable efficient collaboration, successful project delivery, and continuous learning in a dynamic, distributed work environment.

What is the difference between Machine Learning Remote Internship vs Data Science Intern?

AspectMachine Learning Remote InternshipData Science Intern
Required CredentialsBasic programming, math, and machine learning knowledgeStatistics, programming, and data analysis skills
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, startups, research labsTech, finance, healthcare, consulting
Search & Comparison IntentUnderstanding internship roles in MLExploring data science internship opportunities

Machine Learning Remote Internships focus on developing models and algorithms, often requiring knowledge of programming and math. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. While both roles are remote and industry-relevant, ML internships emphasize algorithm development, whereas data science roles focus on data analysis and visualization.

What are popular job titles related to Machine Learning Remote Internship jobs in Kentucky? For Machine Learning Remote Internship jobs in Kentucky, the most frequently searched job titles are:
What cities in Kentucky are hiring for Machine Learning Remote Internship jobs? Cities in Kentucky with the most Machine Learning Remote Internship job openings:
Senior Incident Management Practice Engineer

Senior Incident Management Practice Engineer

Humana

Louisville, KY • On-site, Remote

$110K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Humana rating

7.9

Company rating: 7.9 out of 10

Based on 260 frontline employees who took The Breakroom Quiz

155th of 277 rated insurance


Job description

Become a part of our caring community
The Senior Incident Management Engineer is responsible for designing, building, and continuously evolving the enterprise Incident management practice with a strong emphasis on AI enablement, automation, and cross-functional integration. This role drives operational resilience by leveraging AIOps, advanced analytics, and standardized processes across ITSM functions to proactively detect, respond to, and prevent service disruptions while minimizing business impact and improving service reliability at scale.

The Incident Management Practice Engineer leads the transformation and maturity of incident management capabilities across the enterprise, with a focus on AI-driven operations, automation, and seamless integration across ITSM practices including Problem, Change, and Knowledge Management.

This role is accountable for defining governance models, and operational frameworks aligned to ITIL 4 and enterprise objectives. The engineer works across technology, SRE, and ITSM teams to drive consistency, eliminate silos, and ensure incident management is tightly integrated with upstream and downstream processes.

A core component of the role is AI enablement by embedding AIOps, machine learning, and predictive analytics into the incident lifecycle. This includes implementing intelligent alert correlation, predictive incident detection, automated triage, and self-healing capabilities to reduce noise, accelerate resolution, and prevent repeat issues.

The engineer will design and optimize end-to-end workflows within ServiceNow, leveraging automation and AI to improve efficiency and scale. They will also partner closely with observability and engineering teams to enhance monitoring strategies, event management, and root cause insights.

In addition, the role establishes and governs continuous improvement cycles-using centralized dashboards, KPIs (e.g., MTTR, SLA/SLO attainment, deflection rates, automation coverage), and AI performance metrics to drive measurable outcomes. The position requires both strategic leadership and hands-on execution to deliver sustained improvements in incident reduction, response effectiveness, and service stability.


Use your skills to make an impact

Required Qualifications

    • Bachelor's degree in Computer Science, Information Technology, or related field (or equivalent experience)
    • 5+ years of experience in IT operations, DevOps, software engineering, or incident management
    • Hands-on expertise configuring and optimizing enterprise ITSM platforms, particularly ServiceNow
    • Strong understanding of ITIL 4 practices, with experience integrating Incident Management with Problem, Change, and Knowledge Management
    • Experience designing and implementing automation and AI-enabled workflows within ITSM environments
    • Experience with observability, monitoring, and event management practices in complex distributed environments
    • Proven ability to work across teams to align processes, tools, and data for end-to-end service management
    • Strong analytical skills with the ability to leverage operational and AI-driven insights to drive decisions and improvements

Preferred Qualifications

    • TIL 4 certification (Foundation or higher)
    • Hands-on experience with AIOps platforms and implementing AI use cases such as predictive incident detection, alert correlation, and automated remediation
    • Strong background in SLA/SLO design, operational resilience, and reliability engineering practices
    • Experience implementing AI performance measurement frameworks (e.g., deflection rates, accuracy, resolution speed) and centralized ITSM dashboards
    • Proven track record of driving enterprise-wide process integration across ITSM disciplines
    • Strong collaboration and leadership skills with the ability to influence stakeholders across engineering, operations, and business teams

Additional information:

This role is not eligible for work sponsorship

Limited Geography Remote - This is a remote position but located within a specific geography.

To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:
At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested.
Satellite, cellular and microwave connection can be used only if approved by leadership.
Employees who live and work from Home in the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.
Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.
Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.


$89,000 - $121,400 per year


This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits

Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
About us
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer atHumana.comand atCenterWell.com.


Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.


What Humana employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Humana logo

About Humana

Sourced by ZipRecruiter

Humana Inc., headquartered in Louisville, KY., is a leading health care company that offers a wide range of insurance products and health and wellness services that incorporate an integrated approach to lifelong well-being. By leveraging the strengths of its core businesses, Humana believes it can better explore opportunities for existing and emerging adjacencies in health care that can further enhance wellness opportunities for the millions of people across the nation with whom the company has relationships.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Louisville, KY, US

Year founded

1961

Social media