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Remote Machine Learning Jobs in Indiana (NOW HIRING)

Deloitte

Databricks Engineer

Indianapolis, IN · On-site +1

Experience with Databricks workspace administration, machine learning operations (MLOps), or ... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a ...

ABB

Senior Field Service Technician

Indianapolis, IN · Remote

$83.30K - $133.28K/yr

Remote. Key Responsibilities * Be responsible for hands-on execution of projects including Startup ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

Powers Health

Associate Data Analyst

Munster, IN · Remote

This role focuses on learning healthcare data structures, analytical tools, and reporting standards ... The position is remote, but you need to live locally to come onsite periodically for meetings.

Transparent Hiring

$106.60K - $128K/yr

Remote-first across Germany and the US (offices available). * Relocation to Germany is supported by Transparent Hiring if the candidate is based outside Germany, and wants to relocate. If this sounds ...

Relativity

Advanced Software Engineer

Indianapolis, IN · On-site +1

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Strong focus on operational excellence, observability, postincident learning, and raising the ...

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All JobsRemote Machine Learning JobsRemote Machine Learning Jobs in Indiana

Remote Machine Learning information

See Indiana salary details

$24.3K

$40.5K

$83.7K

How much do remote machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for remote machine learning in Indiana is $40,521.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,900.00 and $43,800.00 per year, depending on experience, location, and employer.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

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

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

Is ML full of coding?

Machine Learning (ML) roles often involve significant coding, especially in programming languages like Python or R, to develop algorithms and models. However, some positions focus more on data analysis, feature engineering, or model evaluation, which may require less coding but still involve technical skills and understanding of ML concepts.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Indiana? The most popular types of Machine Learning jobs in Indiana are:
What job categories do people searching Remote Machine Learning jobs in Indiana look for? The top searched job categories for Remote Machine Learning jobs in Indiana are:
What cities in Indiana are hiring for Remote Machine Learning jobs? Cities in Indiana with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Indiana as of May 2026, with employment types broken down into 2% Internship, 2% As Needed, 38% Full Time, 54% Part Time, 2% Temporary, and 2% Contract. Highlights an 73% Physical, and 27% Remote job distribution, with an average salary of $40,521 per year, or $19.5 per hour.
Online Data Analyst - Bilingual (Spanish)

Online Data Analyst - Bilingual (Spanish)

TELUS International

Indianapolis, IN • On-site, Remote

Part-time

Posted 21 days ago

Job description

Are you detail-oriented with a passion for language, research, and an interest in national and local geography? Imagine putting your research and language skills to work improving digital maps that millions of people rely on every day! 

Role Overview: 
In this role you'll conduct web-based evaluations to verify the accuracy of data, compare information across sources, and ensure the mapping content powering global navigation services is precise and relevant?all while working from home and on your own schedule! 

Requirements:

  • Fluency in English and Spanish 
  • Residency in the US for the past five years 
  • Familiarity with local business, media, sports, news, social media, and culture in the US 
  • Ability to follow guidelines and conduct online research 
  • Flexibility to handle diverse tasks including maps, news, and audio 
  • Daily access to broadband internet, computer, and relevant software 
  • Willingness to work on a freelance basis 

Assessment: 
To join the program, you will complete an open-book qualification assessment, and ID verification process. We will provide all guidelines and learning materials, and you can complete the exam at your convenience within a specific timeframe. 

Why join the TELUS Digital AI Community?

  • Flexibility: Work at your own pace from home 
  • Global impact: Be part of a 1 million+ strong AI Community 
  • Innovation: Support machine learning models for world-leading brands 
  • Growth: No previous professional experience required 
  • Long-term opportunity: This is a part-time, long-term, independent freelance position 

Equal Opportunity: 
All qualified applicants will receive consideration for a contractual relationship without regards to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At Telus Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants? qualifications, merits, competence, and performance without regards to any characteristic related to diversity. 

Apply today to join our dynamic and innovative team!

Apply