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Machine Learning Engineer Jobs in Indianapolis, IN

Our company is seeking a detail-oriented and highly analytical ML Engineer who will assist in ... Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch). * Excellent ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Required : • Bachelor's or Master's in Computer Science, Machine Learning, or related field. • ... engineering, fine-tuning, and evaluation techniques. • Knowledge of deployment tools (e.g., ONNX ...

Research Scientist Senior

Indianapolis, IN · On-site +1

$94K - $119K/yr

Successfully delivers scalable machine learning solutions from concept through deployment and measurable operational impact. * Partners effectively across business, research, engineering, analytics ...

Research Scientist Senior

Indianapolis, IN · On-site

$94K - $120K/yr

Successfully delivers scalable machine learning solutions from concept through deployment and measurable operational impact. * Partners effectively across business, research, engineering, analytics ...

Showing results 41-60

Machine Learning Engineer information

See Indianapolis, IN salary details

$27.6K

$112.9K

$169.7K

How much do machine learning engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for machine learning engineer in Indianapolis, IN is $112,926.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $135,900.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What does a machine learning engineer do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a machine learning engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by machine learning engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Indianapolis, IN?

The most popular types of Machine Learning Engineer jobs in Indianapolis, IN are:

What are popular job titles related to Machine Learning Engineer jobs in Indianapolis, IN?

For Machine Learning Engineer jobs in Indianapolis, IN, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Indianapolis, IN look for?

The top searched job categories for Machine Learning Engineer jobs in Indianapolis, IN are:

What cities near Indianapolis, IN are hiring for Machine Learning Engineer jobs?

Cities near Indianapolis, IN with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Indianapolis, IN as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $112,926 per year, or $54.3 per hour.

Distinguished AI Engineer

The Elevance Health Companies, Inc.

Indianapolis, IN • On-site

$180 - $260/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Elevance Health rating

7.5

Company rating: 7.5 out of 10

Based on 354 frontline employees who took The Breakroom Quiz

217th of 315 rated insurance


Job description

Anticipated End Date: 2026-09-04

Position Title: Distinguished AI Engineer

Location: This role requires associates to be in-office 1 day per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Ideal candidates will be able to report to our Pulse Point location in Indianapolis, IN. Alternate locations may be considered if candidates reside within a commuting distance from an office. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.

The Distinguished AI Engineer is a highly experienced, hands-on AI individual contributor to design, build, and scale enterprise AI solutions across machine learning, generative AI, and AI agents. This role is for a senior technical expert who can directly develop production-grade AI capabilities while also influencing architecture, delivery models, and engineering practices across the organization. The ideal candidate combines deep technical expertise with strong business acumen and has a proven track record of building reusable AI services at scale. This is not a pure research or management role; we are looking for a hands‑on builder who thrives in complex enterprise environments and can help modernize how AI solutions are developed and deployed. The ideal candidate can also make sound buy, build, and integrate decisions across commercial and open‑source AI solutions, selecting the right approach based on business need, regulatory requirements, speed to value, and long‑term maintainability.

How you will make an impact
  • Design, develop, and deploy enterprise AI solutions spanning traditional machine learning, generative AI, and agentic AI systems.
  • Architect and deliver scalable, resilient AI solutions leveraging technologies such as agentic systems, large language models (LLMs), distributed systems, and event‑driven architectures.
  • Serve as a senior hands‑on contributor, technical leader, and subject matter expert across the AI development lifecycle.
  • Build reusable AI services, frameworks, accelerators, and reference architectures leveraged across multiple teams and use cases.
  • Partner with business domain SMEs, product, engineering, architecture, security, data, and business teams to translate business opportunities into scalable AI solutions.
  • Lead, buy, build, and integrate decisions across commercial and open‑source AI solutions, balancing speed, cost, risk, security, scalability, and strategic differentiation.
  • Use modern AI‑assisted development tooling to improve speed, quality, and efficiency of solution delivery.
  • Guide implementation teams through architecture, design, model selection, evaluation, deployment, and operationalization of AI solutions.
  • Mentor junior AI engineers and elevate the broader organization’s AI engineering capabilities.
  • Influence technical direction across teams through expertise, credibility, and collaboration rather than formal authority.
  • Ensure solutions are designed for enterprise requirements including scalability, security, observability, governance, and maintainability.
  • Define enterprise‑wide technical direction, including architecture patterns, integration standards, and reusable platform capabilities.
  • Lead AI‑driven modernization of legacy systems through automated code transformation, service decomposition, and continuous optimization.
  • Design and implement AI‑enabled software development lifecycle (SDLC) practices to improve engineering velocity and quality.
  • Establish technical standards, governance frameworks, and best practices for AI systems, including monitoring, evaluation, and responsible AI.
  • Partner with engineering teams and stakeholders to enable adoption of AI‑assisted development and drive continuous improvement in system performance and productivity.
  • Provide technical leadership and mentorship while influencing enterprise technology decisions through deep expertise and hands‑on engineering.
Minimum Requirements

Requires a bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field and a minimum of 15 years of experience in software engineering, including experience leading, designing, implementing, and operating distributed systems and large‑scale architectures, or any combination of education and experience which would provide an equivalent background.

Requires experience designing, developing, and maintaining software solutions using Python, Java, or comparable object‑oriented programming languages also required, as well as experience designing and implementing APIs, microservices, and event‑driven architectures, and applying cloud, CI/CD, and DevOps practices.

Preferred Skills, Capabilities & Experiences
  • Subject matter expert in machine learning, GenAI, and AI agents preferred.
  • Experience working in a Fortune 100 regulated company, startup, and/or top‑tier technology firm preferred.
  • Proven success at building and deploying reusable AI services at scale preferred.
  • Experience operationalizing AI in production with MLOps, LLMOps, observability, and governance practices preferred.

Job Level: Non‑Management Exempt

Workshift: Job Family: IFT > IT Architecture

Who We Are

Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.

How We Work

At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business.

Benefits
  • Merit increases
  • Paid holidays
  • Paid Time Off
  • Incentive bonus programs (unless covered by a collective bargaining agreement)
  • Medical
  • Dental
  • Vision
  • Short and long term disability benefits
  • 401(k) +match
  • Stock purchase plan
  • Life insurance
  • Wellness programs
  • Financial education resources

Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process.

The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member‑facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation.

Elevance Health will also follow all relevant federal, state and local laws.

Elevance Health is an Equal Employment Opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws.

Applicants who require accommodation to participate in the job application process should submit the following form: Accessibility Accommodation Request Form and a member of the team will be in contact.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

Prospective employees required to be screened under Florida law should review the education and awareness resources at HB531 | Florida Agency for Health Care Administration.

Elevance Health is an Equal Employment Opportunity Employer/Disability/Veterans.

Elevance Health is an Equal Employment Opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws.

Applicants who require accommodation to participate in the job application process should submit the following form: Accessibility Accommodation Request Form and a member of the team will be in contact.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

Prospective employees required to be screened under Florida law should review the education and awareness resources at HB531 | Florida Agency for Health Care Administration.

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What Elevance Health employees say

Pay

Benefits

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About Elevance Health

Sourced by ZipRecruiter

Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. A Fortune 20 company with a longstanding history in the healthcare industry, we are looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. You will thrive in a complex and collaborative environment where you take action and ownership to solve problems and lead change. Do you want to be part of a larger purpose and an evolving, high-performance culture that empowers you to make an impact?

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

2004

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