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Machine Learning Jobs in Alaska (NOW HIRING)

Sedgwick

Senior Applied & Agentic AI Engineer

Minto, AK

$108K - $148K/yr

Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Engineering, or related discipline. 7-10+ years of experience in AI engineering, machine learning systems ...

Cadmus, LLC

Technical Project Manager (TPM)

Juneau, AK

$95K/yr

You will work with data engineering, analytics, machine-learning, and data science teams to deliver initiatives that support the enterprise's data needs. You will function as a TPM authority and team ...

York Risk Services

AI Data Scientist Sr.

Minto, AK · On-site

$120K - $160K/yr

Builds, prototypes, and deploys machine learning models in production environments. * Collaborates with product, technology, and other stakeholders to identify and scope data science projects.

Sedgwick

AI Data Scientist Sr.

Minto, AK · On-site

$120K - $160K/yr

Builds, prototypes, and deploys machine learning models in production environments. * Collaborates with product, technology, and other stakeholders to identify and scope data science projects.

Crowley Maritime Corporation

Mechanic

Fairbanks, AK

Maintains and lubricates machine tools and equipment. * May change tires, batteries and other parts ... Learning and growth: access to training and development for continuous skill development * Well ...

Delta Constructors

Plumber Apprentice

Anchorage, AK · On-site

The Apprentice is responsible for learning layout, code confirmation, verification, and ... Ability to thread, prep, and prepare piping systems using a pipe threading machine * Secure ...

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All JobsMachine Learning JobsMachine Learning Jobs in Alaska

Machine Learning information

See Alaska salary details

$27.5K

$45.9K

$94.8K

How much do machine learning jobs pay per year?

As of Jun 21, 2026, the average yearly pay for machine learning in Alaska is $45,860.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $49,500.00 per year, depending on experience, location, and employer.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership responsibilities, strategic planning, and may require extensive experience and specialized certifications, with compensation reflecting the seniority and impact of the role.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

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-demand industries or at large tech companies can earn salaries of $500,000 or more, especially when including bonuses and stock options. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With a background in machine learning, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These jobs typically require skills in programming languages like Python or R, knowledge of algorithms, and experience with tools like TensorFlow or PyTorch.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine learning engineers, data scientists, and AI ethics specialists are likely to continue thriving as AI advances, due to their expertise in developing, managing, and overseeing AI systems. These roles require specialized skills, critical thinking, and understanding of complex algorithms that are difficult to fully automate. Continuous learning and certification in relevant tools like Python, TensorFlow, or ethical frameworks will support job security in these fields.
What are the most commonly searched types of Machine Learning jobs in Alaska? The most popular types of Machine Learning jobs in Alaska are:
What are popular job titles related to Machine Learning jobs in Alaska? For Machine Learning jobs in Alaska, the most frequently searched job titles are:
What job categories do people searching Machine Learning jobs in Alaska look for? The top searched job categories for Machine Learning jobs in Alaska are:
Machine Learning jobs near you

Data Analyst

WFN Team Indus US Test Client 2

Anchorage, AK • On-site

Full-time

Posted 24 days ago

Job description

Work Location(s): Augusta, GA, US

ADP is hiring a Data Analyst I.

  • Do you thrive in a results-driven and dynamic atmosphere where associate success, achievement, collaboration, and agility are recognized and highly valued?
  • Are you looking for an opportunity to make a difference by using your strengths, creativity, and commitment to results?
  • Are you looking to join a dynamic, inclusive team environment with a culture of collaboration and belonging? 

Well, this may be the role for you. Ready to make your mark?

As a Data Analyst I in the Health Care Reform business unit, you will be responsible for key business metrics and reporting that drives decision making and process improvement for the Business Unit.  A champion for standardizing and automating internal reports provided to the business unit. Leverage a variety of analytical tools to provide information that is flexible, responsive and nimble to changing business needs. The Data Analyst is responsible for Analysis/ Consulting, Configuration/ Integration, Validation/ Support and Project Planning for all aspects of predictive Analytics, Reporting and Survey Administration.

A typical day involves working with your stakeholders and your team members on various initiatives related to collecting, organizing and presenting data that tells a story. Our business uses the story to identify opportunities to better support our clients and associates. Your passion for connecting data to our business needs will be key to our success.

A little about ADP: We are a global leader in human resources technology, offering the latest AI and machine learning-enhanced payroll, tax, human resources, benefits, and much more. We believe our people make all the difference in cultivating an inclusive, down-to-earth culture that welcomes ideas, encourages innovation, and values belonging. We’ve received recognition as a global Best Places to Work and a recipient of many prestigious awards for diversity, equity, and inclusion, including a DiversityInc® Top 50 Company, Best CEO and company for women, LGBTQ+, multicultural talent, and more. As part of our deep DEI commitment, our CEO has joined the OneTen coalition to create one million jobs for Black Americans within ten years. Learn more about DEI at ADP on our YouTube channel: http://adp.careers/DEI_Videos

Ready to #MakeYourMark? Apply now!

To learn more about ADP, visit: jobs.adp.com

What you’ll do: Responsibilities:

  • Analytics/ Consulting/Communicating:
  • Work with Business Unit champions and Subject Matter Experts (SMEs) to define requirements related to reporting, analytics, trending and communications.
  • Create business requirements based on detailed analysis of Business Unit needs
  • Coordinates and consults with Corporate IT for customization work
  • Develops ad hoc inquiries to assist in reporting, categorization and analysis
  • Provides demos and training for champions and SMEs, including documentation as required for reporting, analysis, trending and communication.
  • Configuration/ Integration:
  • Works and counsels with business units on system and service configuration tools, tool adaptation and business best practice solutions.
  • Determines best methodology and oversees the accurate and timely conversion of survey data, reporting and analytics.
  • Consults on interfaces to internal systems
  • Validation/Support:
  • Support the Business Unit during the production release of new tools, reports, alerts and analytics.
  • Provide support for the tools, reports and system supporting the business unit.
  • Project Planning:
  • Participates in establishing and monitoring of Business Unit implementation schedule and report status to Project Team Members.
  • Ensures issues and risks are documented and work with team members to resolve.
  • Train appropriate uses on analytical tools to ensure widespread adoption of best practices in collecting and analyzing data for actionable recommendations to leaders.
  • Performs other related duties as assigned.



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