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Machine Learning Engineer Jobs in Bloomington, IN

Cummins

Electrician - Navy/Submarine

Columbus, IN

Nimble learning - Actively learning through experimentation when tackling new problems, using both ... Machine Programming - Creates factory floor machine programs by designing and implementing ...

Cummins

Electrician - Hiring Now

Columbus, IN

Nimble learning - Actively learning through experimentation when tackling new problems, using both ... Machine Programming - Creates factory floor machine programs by designing and implementing ...

Bowhead

Engineer

Crane, IN · On-site

The Engineer will provide technical and engineering support services to the Strategic Systems Guidance, Navigation and Control Division. Responsibilities Essential functions will include: * Perform ...

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Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Bloomington, IN

Machine Learning Engineer information

See Bloomington, IN salary details

$27.5K

$112.3K

$168.8K

How much do machine learning engineer jobs pay per year?

As of Jun 15, 2026, the average yearly pay for machine learning engineer in Bloomington, IN is $112,341.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,600.00 and $135,200.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

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 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.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

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 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.

More about Machine Learning Engineer jobs
What are the most commonly searched types of Machine Learning Engineer jobs in Bloomington, IN? The most popular types of Machine Learning Engineer jobs in Bloomington, IN are:
What are popular job titles related to Machine Learning Engineer jobs in Bloomington, IN? For Machine Learning Engineer jobs in Bloomington, IN, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Bloomington, IN look for? The top searched job categories for Machine Learning Engineer jobs in Bloomington, IN are:
What cities near Bloomington, IN are hiring for Machine Learning Engineer jobs? Cities near Bloomington, IN with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Bloomington, IN as of June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $112,341 per year, or $54 per hour.
Senior Software Engineer with Security Clearance

Senior Software Engineer with Security Clearance

MANTECH

Crane, IN

$122K - $161K/yr

Other

Posted 27 days ago

ManTech rating

8.8

Company rating: 8.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

32nd of 190 rated software companies

Job description

MANTECH seeks a motivated, career and customer-oriented Senior Software Engineer to join our team in Crane, Indiana. This is an onsite position. As a core member, you will assist in the research & design, engineering, integration, testing, training, logistics, laboratory research, field engineering, and acquisition and operations analysis in support of a variety of Navy and Marine Corps programs and projects with a focus on defensive cyber technologies, mission assurance, and resilience capabilities for the tactical network environment. Your effort will go towards dramatically increasing the warfighter's effectiveness. If you enjoy working on a highly collaborative and dynamic team and want to make a difference for the warfighter, then we would love to have you on our team! Responsibilities include but are not limited to: * Architect scalable, high-performance software systems optimized for resource efficiency
* Lead large-scale projects, aligning technical innovation with strategic business objectives
* Mentor engineers at all levels, fostering a culture of excellence and continuous i mprovement
* Drive the adoption of agile, DevSecOps, and containerization practices across the organization
* Innovate with cutting-edge technologies to set new standards in software engineering Minimum Qualifications: * 12+ years of professional software development experience
* BA/BS degree or High School Diploma and 6 years of additional relevant experience OR equivalent education and years of experience in lieu of Bachelors degree
* Expert-level proficiency in languages like C, C++, Go, or similar
* Expertise in agile methodologies, DevSecOps, and container technologies like Docker
* Demonstrated success in leading complex, impactful software projects Preferred Qualifications: * Master's degree in Computer Science, Engineering, or a related field
* Experience with high-performance computing or resource-intensive system design
* Advanced knowledge of container orchestration (e.g., Kubernetes, Docker Swarm, or Podman)
* Strategic thinking and decision-making skills to influence long-term technical direction
* Exceptional leadership and communication abilities to inspire and guide teams Clearance Requirements: * Must have a current and active Top Secret/SCI clearance Physical Requirements: * The person in this position must be able to remain in a stationary position 50% of the time.
* Occasionally move about inside the office to access file cabinets, office machinery, or to communicate with co-workers, management, and customers, via email, phone, and or virtual communication, which may involve delivering presentations.

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