ZipRecruiter

Log In

1

Machine Learning Engineer Jobs in Bozeman, MT (NOW HIRING)

HDR

Civil Engineering Lead (Irrigation)

Bozeman, MT · On-site

$104K - $137K/yr

Professional Engineer (PE or P.Eng) license * MS Office and MS Project experience is required (Access experience would be plus) * Demonstrated leadership skills * An attitude and commitment to being ...

HDR

Civil Engineering Lead (Irrigation)

Bozeman, MT · On-site

$104K - $137K/yr

Professional Engineer (PE or P.Eng) license * MS Office and MS Project experience is required (Access experience would be plus) * Demonstrated leadership skills * An attitude and commitment to being ...

next page

Showing results 1-20

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Bozeman, MT

Machine Learning Engineer information

See Bozeman, MT salary details

$34.1K

$139.4K

$209.5K

How much do machine learning engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for machine learning engineer in Bozeman, MT is $139,395.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $167,800.00 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 Bozeman, MT? The most popular types of Machine Learning Engineer jobs in Bozeman, MT are:
What are popular job titles related to Machine Learning Engineer jobs in Bozeman, MT? For Machine Learning Engineer jobs in Bozeman, MT, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Bozeman, MT look for? The top searched job categories for Machine Learning Engineer jobs in Bozeman, MT are:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Bozeman, MT as of June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $139,395 per year, or $67 per hour.
Civil Engineering Lead (Irrigation)

Civil Engineering Lead (Irrigation)

HDR

Bozeman, MT • On-site

$104K - $137K/yr

Full-time

Posted 24 days ago

HDR rating

9.1

Company rating: 9.1 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

20th of 352 rated engineering

Job description

At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we foster a culture of inclusion throughout our company and within our communities, we constantly ask ourselves: What is our impact on the world?
Watch Our Story:' https://www.hdrinc.com/our-story'
Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world.
We believe waste is more than management, it's also an opportunity to innovate. As part of our Waste sector, you'll help shape solid waste infrastructure and environmental stewardship. With a top-tier industry ranking, our team delivers comprehensive solutions that span waste planning, remediation, engineering and implementation. You'll collaborate closely with clients and communities to design sustainable, cost-effective systems that contribute to cleaner environments and healthier communities. This isn't just a job, it's a chance to drive meaningful changes in the waste industry and build a legacy of sustainability.
HDR Engineering is in search of an experienced Irrigation Leader to help lead our irrigation practice.
Charged with assisting in the growth and technical leadership of the group, the Civil Engineering Lead will be tasked with coordinating, managing, and executing the planning and design of hydraulic/irrigation focused civil design projects. The candidate will lead a group of professionals in the management, execution and production of studies, designs, reports, plans and specifications for a diverse range of hydraulic facilities and structures.
In the role of Civil Engineering Lead, we'll count on you to:
  • Direct and coordinate work of single or multidiscipline teams throughout the project's lifecycle (from development and initiation to close-out)
  • Responsible for all aspects of complex small to medium projects or routine large projects
  • Produce and coordinate several small to medium projects concurrently
  • Establish and maintain client relations, and be involved with marketing, contractual, design and production meetings
  • Conduct work sessions for deliverable development in conjunction with other staff and stakeholders
  • Coordinate staffing and workload through entire project life cycle, and ensure completion of deliverables on schedule
  • Track financial aspects of projects, and coordinate and adjust work effort with team to ensure that work is completed within parameters of agreed-to budget and schedule
  • Work with the Accounting, Operational and Business leadership for periodic project reviews
  • Implement QA/QC procedures
  • Perform other duties as needed

Preferred Qualifications
  • Master's degree
  • 10+ years civil engineering experience, emphasis on design and irrigation preferred.
  • Committed to quality, improvement and HDR values
  • Experience in planning studies, design, and irrigation.
  • Excellent writing and communication skills.
  • Maintains a professional or engineering registration and has related technical experience experienced in development and management of diverse teams.
  • Ability to work independently and as part of a project team.
  • An attitude and commitment to being an active participant of our employee-owned culture is a must.
  • Experience with planning, design, and construction of water storage reservoirs, pumping plants, river diversions, conveyance and control facilities, hydropower, and erosion control is desirable.
  • Will work independently as well as plan organize and supervise work of medium to large teams of professionals and technicians dependent on project/task.
  • Desirable experience includes business development related to irrigation projects and working with irrigation districts, the Bureau of Reclamation, and Natural Resources Conservation Service. Experience with the Bureau of Indian Affairs and Tribes is also desired.
  • Proven ability to mentor and supervise staff is desired.
    #LI-KJ1

Qualifications
Required Qualifications
  • Bachelor's degree in Engineering
  • 7 years related experience
  • A minimum 2 years project management experience
  • Professional Engineer (PE or P.Eng) license
  • MS Office and MS Project experience is required (Access experience would be plus)
  • Demonstrated leadership skills
  • An attitude and commitment to being an active participant of our employee-owned culture is a must

What We Believe
HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve.
Our Commitment
As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day.
Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.

What HDR employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

HDR logo

About HDR

Sourced by ZipRecruiter

At HDR, we specialize in engineering, architecture, environmental and construction services. While we are most well-known for adding beauty and structure to communities through high-performance buildings and smart infrastructure, we provide much more than that. We create an unshakable foundation for progress because our multidisciplinary teams also include scientists, economists, builders, analysts and artists.

Industry

Specialized design services

Company size

5,001 - 10,000 Employees

Headquarters location

Omaha, NE, US

Year founded

1917

View All HDR Jobs

Apply