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Junior Machine Learning Engineer Jobs in Montana

You'll apply your skills to deliver results that matter whether that's through engineering ... Career development and learning support. * Access to global inclusion networks. * Regional and team ...

You'll apply your skills to deliver results that matter whether that's through engineering ... Career development and learning support. * Access to global inclusion networks. * Regional and team ...

Artificial Intelligence, AI Literacy/Fluency, Machine Learning, Generative AI, Python Programming, Java/OOP, Software Engineering, Computer Networks, Computer Architecture and Organization, C/C ...

Technical Skills & Knowledge Strong understanding of AI and machine learning concepts, including ... Bachelor's degree in computer science, Engineering, Data Science, Applied Mathematics, or a related ...

AI Strategist

Missoula, MT · On-site

$120K - $140K/yr

Technology Support • Stay current on advancements in AI, Machine Learning, NLP, LLMs, GenAI, and ... Education: • Bachelor's degree in computer science, Engineering, Data Science, Applied ...

Senior Systems Engineer

Belgrade, MT · On-site

$111K - $153K/yr

  • Medical

  • Retirement

  • PTO

Mentor and develop junior engineering team members, bringing external experience from mature ... We offer competitive compensation, benefits and learning and development opportunities. Our broad ...

Showing results 41-60

Junior Machine Learning Engineer information

See Montana salary details

$30.7K

$65.9K

$100.5K

How much do junior machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for junior machine learning engineer in Montana is $65,901.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,500.00 and $73,400.00 per year, depending on experience, location, and employer.

What does a junior machine learning engineer do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What kinds of projects and responsibilities can a junior machine learning engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

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

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

How much do junior machine learning engineers make?

Junior machine learning engineers typically earn between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

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

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

What are popular job titles related to Junior Machine Learning Engineer jobs in Montana?

For Junior Machine Learning Engineer jobs in Montana, the most frequently searched job titles are:

What job categories do people searching Junior Machine Learning Engineer jobs in Montana look for?

The top searched job categories for Junior Machine Learning Engineer jobs in Montana are:

What cities in Montana are hiring for Junior Machine Learning Engineer jobs?

Cities in Montana with the most Junior Machine Learning Engineer job openings:

Infographic showing various Junior Machine Learning Engineer job openings in Montana as of August 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Temporary. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $65,901 per year, or $31.7 per hour.

LACE Junior Coach

Weir

Glasgow, MT • Remote

Full-time

Posted 18 days ago


Job description

LACE Junior Coach

Location: Remote (South Africa/UK)

Work Arrangement: Remote

What we do at Weir

We are a global leader in mining technology for a sustainable future. We help our customers extract the resources the world needs more efficiently and more sustainably. Our planet's future depends on the transition to renewable energy, and that transition can only happen with the metals and minerals our customers deliver. So, we work side by side with mines across the globe to move less rock, use less energy, use water wisely, and create less waste. Together, we drive the shift to smart, efficient, and more sustainable mining.

Make your impact

You'll play a key role in solving real-world challenges. You'll apply your skills to deliver results that matter whether that's through engineering, planning or customer support. You'll work with purpose, learn every day and help shape a more sustainable future.

What you'll do

  • Agile Enablement & Coaching Support: Support teams in adopting Agile ways of working aligned to the Agile Playbook and Ways of Working Guidance (Confluence), Partner with Scrum Masters, Product Owners, and team members to reinforce core Agile principles and practices, Provide hands-on guidance to teams over the course of their maturity stages, Deliver coaching aligned to LACE coaching model, Support Scrum Masters in improving team health and continuous improvement.
  • Tooling & Data Enablement: Support teams in using Jira and Jira Align effectively. Help structure work across Epics, Features, Stories in the Portfolio, Ensure tooling best practices and data quality.
  • Delivery & Ceremony Support: Support Agile ceremonies (planning, stand-ups, reviews, retrospectives) where applicable, Provide feedback on effectiveness.
  • Continuous Improvement: Provide feedback to LACE on challenges and gaps in teams, Support tracking of team maturity and opportunities for improvement, Contribute to training materials and playbooks
  • Safety First: Demonstrate 100% commitment to our zero harm behaviors in support of our drive towards developing a world-class safety culture.

What you'll bring

Must-haves:

  • Foundational understanding of Agile principles with experience supporting Agile teams, preferably within an Agile Transformation context.
  • Hands-on experience with Atlassian tools, especially Jira; Jira Align experience is desirable.
  • Strong facilitation and communication skills combined with a continuous improvement mindset.
  • Bachelor's degree in any field.
  • Relevant Agile certifications, preferably SAFe

Nice-to-haves:

  • Experience working collaboratively in a remote, cross-functional environment.

Why join Weir?

We live our values we think safety first, do the right thing, respect each other, aim high, and delight our customers. We encourage our people to lead by example and celebrate our successes.

We're passionate about our purpose to help deliver the natural resources that are essential to create a better future for the world. We do this by combining our deep customer insights, world-class engineering, materials science expertise, and intelligent automation to deliver innovative end-to-end solutions incorporating our signature technologies.

We believe your voice matters and your ideas make a difference. We're working hard to nurture a diverse culture where our people feel like they belong and can do the best work of their lives. You can help shape our unique culture through our inclusion networks and safety initiatives.

Benefits

  • Competitive pay.
  • Career development and learning support.
  • Access to global inclusion networks.
  • Regional and team-specific benefits.
  • Sharebuilder scheme.
  • Wellness support for you and your family.
  • Collaboration with global teams.
  • Study support.


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