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Freelance Machine Learning Engineer Jobs in Indiana

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

The Automation Applications Engineer will provide support to the Automation Engineering team. This ... Maintenance and repair of automation equipment including machine vision and machine learning ...

Data Engineer

Indianapolis, IN

$109K - $131K/yr

This role sits at the intersection of Product Engineering, Data, and Machine Learning. You willbe responsible forcreating reliable, scalable, and high-quality data systems that enable downstream ML ...

Description Launch your machine learning career in Greenfield, IN as a Machine Technical Associate ... Knowledge of CNC and PLC systems and programming * Knowledge of robots * Demonstrated casting ...

Design, develop, and deploy machine learning models and algorithms from proof of concept through ... Engineering. Five years or more experience deploying AI solutions at scale. Experience

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be responsible for creating reliable, scalable, and high-quality data systems that enable downstream ML ...

Data Engineer

Indianapolis, IN · On-site +1

$109K - $131K/yr

This role sits at the intersection of Product Engineering, Data, and Machine Learning. You will be responsible for creating reliable, scalable, and high-quality data systems that enable downstream ML ...

AI Engineer

Indianapolis, IN · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning engineers, and software engineers for the deployment of machine learning models into production environments ...

Collaborate closely with the MLOps, product teams, business stakeholders, machine learning engineers, and software engineers for the deployment of machine learning models into production environments ...

Data Engineer

New Albany, IN · On-site +1

$105K - $127K/yr

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

AI Software Engineer

Anderson, IN · On-site +1

$48.25 - $64/hr

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

Showing results 41-60

Freelance Machine Learning Engineer information

See Indiana salary details

$14

$45

$125

How much do freelance machine learning engineer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for freelance machine learning engineer in Indiana is $45.40, according to ZipRecruiter salary data. Most workers in this role earn between $23.12 and $58.80 per hour, depending on experience, location, and employer.

What does a freelance machine learning engineer do?

A Freelance Machine Learning Engineer designs, develops, and implements machine learning models and algorithms for clients on a project basis. They work independently to analyze data, build predictive models, and help businesses solve complex problems using AI and machine learning techniques. Their responsibilities may also include data preprocessing, model evaluation, and deploying solutions into production environments. Freelance Machine Learning Engineers often collaborate remotely with teams and must manage their own schedules and client relationships.

What are the key skills and qualifications needed to thrive as a freelance machine learning engineer?

To thrive as a Freelance Machine Learning Engineer, you need expertise in programming (especially Python), a solid grasp of machine learning algorithms, and a relevant academic background such as a degree in computer science, mathematics, or engineering. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, GCP, Azure), and experience with version control systems are typically required. Strong problem-solving, self-management, and client communication skills help set successful freelancers apart. These competencies are crucial for delivering effective solutions, managing projects independently, and building client trust in a competitive market.

How do freelance machine learning engineers typically manage client expectations and project scopes?

Freelance machine learning engineers often work with clients who may not have a deep technical understanding of AI or data science. A common challenge is clearly defining the project scope and deliverables at the outset, ensuring both parties understand what is feasible given the data, time, and budget constraints. Successful freelancers use regular progress updates, milestone-based deliverables, and transparent communication to manage expectations and avoid scope creep. Building trust through clear documentation and setting realistic timelines also helps foster long-term client relationships.

What is the difference between Freelance Machine Learning Engineer vs Data Scientist?

AspectFreelance Machine Learning EngineerData Scientist
CredentialsTypically requires a degree in computer science, data science, or related fields; certifications in machine learning or AI are a plusUsually holds a degree in statistics, data science, or related areas; certifications in data analysis or visualization are common
Work EnvironmentIndependent, project-based work often remotely for various clientsOften employed full-time in organizations or consulting roles, sometimes freelance
Industry UsageUsed across tech, finance, healthcare, and startups for deploying ML modelsApplied in research, analytics, and strategic decision-making across industries

Freelance Machine Learning Engineers focus on developing and deploying ML models independently for diverse clients, while Data Scientists analyze data to extract insights, often working within organizations. Both roles require strong technical skills, but their work scope and environment differ significantly.

What are the most commonly searched types of Machine Learning Engineer jobs in Indiana?

The most popular types of Machine Learning Engineer jobs in Indiana are:

What are popular job titles related to Freelance Machine Learning Engineer jobs in Indiana?

For Freelance Machine Learning Engineer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Freelance Machine Learning Engineer jobs in Indiana look for?

The top searched job categories for Freelance Machine Learning Engineer jobs in Indiana are:

What cities in Indiana are hiring for Freelance Machine Learning Engineer jobs?

Cities in Indiana with the most Freelance Machine Learning Engineer job openings:

Infographic showing various Freelance Machine Learning Engineer job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $94,424 per year, or $45.4 per hour.

Machine Learning Software Engineer 1

Crowe LLP

Fort Wayne, IN • On-site

Full-time

Posted 2 days ago

New


Job description

Your Journey at Crowe Starts Here:

At Crowe, you can build a meaningful and rewarding career. With real flexibility to balance work with life moments, you're trusted to deliver results and make an impact. We embrace you for who you are, care for your well-being, and nurture your career. Everyone has equitable access to opportunities for career growth and leadership. Over our 80-year history, delivering excellent service through innovation has been a core part of our DNA across our audit, tax, and consulting groups. That's why we continuously invest in innovative ideas, such as AI-enabled insights and technology-powered solutions, to enhance our services. Join us at Crowe and embark on a career where you can help shape the future of our industry.

Job Description:

About the Role We work on medium-term machine learning projects (1-6 months) with a high degree of autonomy.
In order to further the Data Science Team strategic imperative of having a "Culture of reuse: tools, products, and processes.", the primary strategy of the Toolkit Team will be to develop generalizable tools for common problems and facilitate the sharing of code within/between projects.
Work within the Data Science Team to define common problems and identify opportunities in the existing codebase to solve current and future problems
Develop libraries and services to address common requirements for our machine learning products
Collaborate with data scientists to get their machine learning models from prototype to production
Champion the use and adoption of Toolkit libraries and services
Required Skills - Programming experience. Your job will require you to code. We mainly write in Python, so experience in this language is preferred. Familiarity with another lower-level language (C/C++, Go, etc) is a plus Software engineering experience. You enjoy software engineering and know your way around algorithm design and data structures. You are comfortable working in Linux-based systems and are familiar with using Docker to develop and deliver RESTful APIs. Additional experience in areas such as cloud computing, distributed systems, CI/CD, etc., is a plus. Capacity for autonomy. You won't be on your own on day one, but you will need the capacity to manage your time between research and tool development. Strong communication skills. You are comfortable adjusting how you discuss software engineering projects, from the technical details to high-level concepts, depending on your audience of software engineer teammates, data scientist collaborators, and non-technical business stakeholders.
Adaptable. Toolkit problems will involve different areas of computer science and machine learning skills, sometimes within the same problem. You can context shift depending on the problem and can adjust if new problems and/or requirements arise requiring rethinking the approach to solving a problem.
Detail oriented. Toolkit is focused on making tools that just work. You like to find edge cases and potential bugs in code, you go above and beyond developing use cases beyond the requested basics, and you are meticulous with following software engineering best practices, including writing maintainable code with clear documentation and comprehensive test cases.
Skills to Stand Out. You like to code and have interest in learning new technologies. You find it exciting to explore and/or improve libraries to help you solve a problem. Lifelong engineering. You want to stay up to date with regards to practicing engineering and you strive for continuous learning and improvement.
Curiosity about machine learning. You know a few things about learning algorithms, data preprocessing strategies, or some other interesting areas of machine learning that can help create more integrated and robust software solutions.
Outside field. You have an educational, research, or hobby background in an interesting area of software engineering, computer science, or related field that you believe gives you unique skills for approaching software engineering and/or machine learning problems

Essential Job Functions:

responsible for executing on tasks to achieve their project's overarching technical vision.
Responsibilities vary across the development lifecycle from supporting client intake conversations and conducting data exploration for new projects to ongoing feature development and bugfixes to support mature machine learning products in a software release cycle.
effectively execute on tasks for your assigned project(s) with some direction and support; your code quality reflects the team's standards.
Working within a finance and accounting firm, recognize and appropriately escalate risks and support assigned mitigations.
You support your team members' growth through pair programming, code review, and/or knowledge sharing.

We expect the candidate to uphold Crowe's values of Care, Trust, Courage, and Stewardship. These values define who we are. We expect all of our people to act ethically and with integrity at all times.

Crowe accepts applications for this role on an ongoing basis.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire. Crowe is not sponsoring for work authorization at this time.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Crowe, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $62,000 - $100,000 per year.

Our Benefits:
Your exceptional people experience starts here. At Crowe, we know that great peopleare what makes a great firm. We care about our people and offer employees a comprehensive total rewards package. Learn more about what working at Crowe can mean for you!
How You Can Grow:
We will nurture your talent in an inclusive culture that values diversity. You will have the chance to meet on a consistent basis with your Career Coach that will guide you in your career goals and aspirations. Learn more about where talent can prosper!
More about Crowe:
Crowe (www.crowe.com) is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world.
Crowe LLP and Crowe Advisory LLC (and their respective subsidiary entities) provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, genetics, national origin, disability or protected veteran status, or any other characteristic protected by federal, state or local laws.


Crowe LLP and Crowe Advisory LLC (and their respective subsidiary entities) does not accept unsolicited candidates, referrals or resumes from any staffing agency, recruiting service, sourcing entity or any other third-party paid service at any time. Any referrals, resumes or candidates submitted to Crowe, or any employee or owner of Crowe without a pre-existing agreement signed by both parties covering the submission will be considered the property of Crowe, and free of charge.


Crowe will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act.

Please visit our webpage to see notices of the various state and local Ban-the-Box laws and Fair Chance Ordinances, where applicable.

We are committed to a merit-based hiring process, evaluating all candidates consistently using objective, job-related criteria such as relevant experience, demonstrated skills, measurable impact, and alignment with the role's responsibilities, and making employment decisions in a fair and inclusive manner free from discrimination.

If you are interested in applying for employment with Crowe and are in need of an accommodation or require special assistance to navigate our website or to complete your application, please visit our Applicant Assistance and Accommodations page for more information: https://careers.crowe.com/crowe-applicant-assistance-and-accommodation


Crowe logo

About Crowe

Sourced by ZipRecruiter

Crowe (www.crowe.com) is one of the largest public accounting, consulting and technology firms in the United States. Crowe uses its deep industry expertise to provide audit services to public and private entities while also helping clients reach their goals with tax, advisory, risk and performance services. Crowe is recognized by many organizations as one of the country's best places to work. Crowe serves clients worldwide as an independent member of Crowe Global, one of the largest global accounting networks in the world. The network consists of more than 200 independent accounting and advisory services firms in more than 130 countries around the world.

Industry

Accounting services

Company size

1,001 - 5,000 Employees

Headquarters location

Chicago, IL, US

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