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Entry Level Machine Learning Jobs in Montana (NOW HIRING)

Mesa Labs

Machine Operator I

Bozeman, MT · On-site

$22/hr

Job Summary The Machine Operator I is an entry-level role responsible for setting up and operating ... and supervisors, learning more advanced machine operations and troubleshooting techniques.

Mesa Labs

Machine Operator I

Bozeman, MT · On-site

$21/hr

Job Summary The Machine Operator I is an entry-level role responsible for setting up and operating ... Work under the guidance of senior machine operators and supervisors, learning more advanced machine ...

Mesa Labs

Machine Operator I

Bozeman, MT · On-site

$22/hr

Job Summary The Machine Operator I is an entry-level role responsible for setting up and operating ... and supervisors, learning more advanced machine operations and troubleshooting techniques.

Diamond Construction, Inc.

Carpenter

Helena, MT · On-site

$20.50 - $28/hr

A Carpenter I (Entry- Level) is required to help experienced workers by performing routine tasks ... Typically, a Carpenter I will need to acquire three to four years of experience learning from ...

Diamond Construction, Inc.

Carpenter

Helena, MT

$20.50 - $28/hr

A Carpenter I (Entry- Level) is required to help experienced workers by performing routine tasks ... Typically, a Carpenter I will need to acquire three to four years of experience learning from ...

All JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Montana

Entry Level Machine Learning information

See Montana salary details

$11

$16

$19

How much do entry level machine learning jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for entry level machine learning in Montana is $16.03, according to ZipRecruiter salary data. Most workers in this role earn between $14.33 and $17.45 per hour, depending on experience, location, and employer.

What types of projects can an entry-level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often found in large tech companies or specialized firms. These positions usually require extensive experience, advanced skills in deep learning, data science, and proficiency with tools like TensorFlow or PyTorch, along with leadership responsibilities and sometimes equity or bonuses. Such salaries are rare and generally reflect seniority, expertise, and the strategic importance of AI initiatives within organizations.

What are the key skills and qualifications needed to thrive as an Entry Level Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

Which 3 jobs will survive AI?

Entry level machine learning roles are likely to persist as they require specialized skills in data analysis, programming, and understanding complex algorithms. Jobs that involve creative thinking, emotional intelligence, or physical tasks, such as data scientists, AI specialists, and software engineers, are expected to remain in demand despite AI advancements.

How to get into machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

What Are Entry-Level Machine Learning Jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What engineers make $500,000?

Senior engineers in fields like software, electrical, or aerospace engineering can reach or exceed $500,000 annually, especially with experience, specialized skills, and leadership roles. High-paying positions often require advanced expertise, certifications, and work in competitive industries or companies with lucrative compensation packages.
More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Montana? The most popular types of Machine Learning jobs in Montana are:
What job categories do people searching Entry Level Machine Learning jobs in Montana look for? The top searched job categories for Entry Level Machine Learning jobs in Montana are:
Entry Level Machine Learning jobs near you
Junior Machine Learning Engineer

Junior Machine Learning Engineer

SynergisticIT

Bozeman, MT

Other

Posted 20 days ago

Job description

Job Opportunities at SynergisticIT

SynergisticIT is aware that the job market is challenging due to almost 300,000 tech layoffs within the past year, which has flooded the market with thousands of laid off techies competing with existing jobseekers. For entry-level job seekers to get client interviews and jobs, they need to differentiate themselves by ensuring they have exceptional skills and technologies to be noticed by clients. Since 2010, we have helped jobseekers differentiate themselves by providing clients with candidates who have the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT, we just don't focus on getting you a job; we make careers. All positions are open for all visas and US citizens. We are matchmakers who provide clients with candidates who can perform from day one of starting work. In this economy, no client wants or has the resources to take an entry-level person and spend resources on upgrading their skills and on top of that pay the jobseeker. That's the specific reason there are so many techies both experienced and freshers who are unemployed. Clients have now the option to hire remote workers from anywhere, so for a jobseeker, it's important to introspect and see how they can become better and have the skills and technologies to meet client requirements. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like Apple, Google, Paypal, Western Union, Client, Visa, Walmart Lab etc to name a few. We have an excellent reputation with the clients.

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full-time positions with clients. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates looking to make their careers in the IT industry. We welcome candidates with all visas and citizens to apply. We assist in filing for STEM extension and also for H1b and green card filing to candidates.

If you get emails from our skill enhancement team, please ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team.

Please check the below links to see success outcomes of our candidates:

https://www.synergisticit.com/candidate-outcomes/ Why do tech companies not hire recent computer science graduates? | SynergisticIT Technical skills or experience? | Which one is important to get a job? | SynergisticIT If you have relevant skills and industry experience, please apply. For preparing for interviews please visit

https://www.synergisticit.com/interview-questions/

Required skills for Java/software programmers:

  • Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Project work on the skills
  • Knowledge of core Java, javascript, C++ or software programming
  • Spring boot, microservices, Docker, Jenkins and REST API's experience
  • Excellent written and verbal communication skills

Required skills for data science/machine learning:

  • Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT
  • Project work on the technologies needed
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of statistics, SAS, Python, computer vision, data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: NLP, text mining, Tableau, PowerBI, time series analysis

Please understand skills and relevant experience on real world projects are required by clients for selection even if it's a junior or entry level position. The additional skills and project work with hands on experience building projects at client site are the only way a candidate can be picked by clients. No third party candidates or c2c candidates please only apply to the posting. If you get emails from our skill enhancement team please ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team.

No phone calls please. Shortlisted candidates would be reached out.

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