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Machine Learning Developer Jobs in Alaska (NOW HIRING)

WFN Team Indus US Test Client 2

Data Analyst

Anchorage, AK · On-site

$1.5K - $2.0K/yr

... programming languages. Preferred Qualifications: * Experience in the agriculture industry or related fields. * Familiarity with advanced data analysis techniques and machine learning algorithms.

Sedgwick

Data Engineer AI

Minto, AK · On-site +1

$118K - $142K/yr

Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring ... Engineering for AI (RAG & LLMs): Develop the data pipelines required for Generative AI, including ...

York Risk Services

Data Engineer AI

Minto, AK · On-site +1

$118K - $142K/yr

Build and maintain Feature Stores and specialized datasets optimized for machine learning, ensuring ... Engineering for AI (RAG & LLMs): Develop the data pipelines required for Generative AI, including ...

Indeed

Staff ML Software Engineer

Anchorage, AK

Comscore, Total Visits, March 2025) Day to Day As a Software Engineer IV (ML) on the Machine Learning Model Platform team at Indeed, you will be responsible for leading and executing key objectives ...

Glacier Services Inc.

Automation Technician

Prudhoe Bay, AK · On-site

$47K/yr

Know how to deploy machine learning algorithms and gain insights from them. * Project Management / Project Engineering * Manage Internal and External resources to optimize field work processes, field ...

Sedgwick

Senior Applied & Agentic AI Engineer

Minto, AK · On-site

$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 ... Strong data exploration, data wrangling and feature engineering skills * Knowledge of application ...

Sedgwick

AI Data Scientist Sr.

Minto, AK

$120K - $160K/yr

Builds, prototypes, and deploys machine learning models in production environments. * Collaborates ... Strong data exploration, data wrangling and feature engineering skills * Knowledge of application ...

fairbanksmorse

BIRDWA87611 - Intern

Fairbanks, AK

$17.25 - $22.25/hr

... engineer as your line manager and career coach, so you'll be learning directly from a skilled ... Experience in CNC machining preferred but not required Work Authorization Eligibility: You must be ...

Alsco Inc

Maintenance Worker/Technician

Anchorage, AK · On-site

$25/hr

Learning & Development Opportunities * Inclusive and Diverse Team Environment Benefits may vary for ... large machinery, variations in temperature, noise, odors, humidity, lint and dust, in general ...

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All JobsMachine Learning Developer JobsMachine Learning Developer Jobs in Alaska

Machine Learning Developer information

See Alaska salary details

$19

$41

$56

How much do machine learning developer jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for machine learning developer in Alaska is $41.37, according to ZipRecruiter salary data. Most workers in this role earn between $20.43 and $55.91 per hour, depending on experience, location, and employer.

What does a Machine Learning Developer do?

A Machine Learning Developer designs, builds, and implements machine learning models and systems that enable computers to learn from data without explicit programming. They work with large datasets, select appropriate algorithms, and optimize models for various tasks such as predictions, classifications, and recommendations. Their responsibilities often include data preprocessing, feature engineering, model evaluation, and deploying models into production environments. Machine Learning Developers typically collaborate with data scientists, software engineers, and business teams to deliver AI-powered solutions.

Is ML a high paying job?

Machine Learning Developer roles are generally considered high-paying within the tech industry due to the specialized skills required, such as programming in Python or R and knowledge of algorithms and data analysis. Salaries vary based on experience, location, and industry, but they tend to be above average compared to many other tech positions.

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 or AI research directors, often in large tech companies or specialized firms. These positions usually require advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch, along with a strong track record of innovation and leadership. Compensation at this level reflects significant expertise, responsibility, and impact within the organization.

What engineers make $500,000?

Senior machine learning developers and AI engineers with extensive experience, advanced skills in deep learning, and proficiency in tools like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized expertise, leadership roles, or equity compensation.

What is the difference between Machine Learning Developer vs Data Scientist?

AspectMachine Learning DeveloperData Scientist
CredentialsBachelor's or Master's in CS, ML, or related fields; certifications like TensorFlow or AWS MLBachelor's or Master's in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDevelops and deploys ML models in software or cloud environmentsAnalyzes data, builds models, and provides insights for decision-making
Industry UsageUsed in tech, finance, healthcare for deploying ML solutionsUsed across industries for data analysis, predictive modeling, and insights

Both roles require strong programming skills and knowledge of ML algorithms. Machine Learning Developers focus on building and deploying models in production environments, while Data Scientists analyze data to inform business decisions. The roles often overlap but differ mainly in their primary focus and end goals.

What are some common challenges faced by Machine Learning Developers when deploying models to production environments?

Machine Learning Developers often encounter challenges such as ensuring model scalability, managing data drift, and integrating models with existing systems during deployment. Another frequent hurdle is monitoring model performance in real time and retraining models as new data becomes available. Collaborating closely with data engineers, DevOps, and software developers is essential to streamline the deployment pipeline and maintain model reliability in production.

What are the key skills and qualifications needed to thrive as a Machine Learning Developer, and why are they important?

To excel as a Machine Learning Developer, you need a strong background in mathematics, statistics, programming (especially Python), and a relevant degree in computer science or related fields. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), version control systems, and cloud platforms is typically required, as are certifications in data science or AI. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data findings into actionable solutions. These skills and qualities are essential to develop accurate models, collaborate with stakeholders, and drive innovation in a rapidly evolving field.

Which 3 jobs will survive AI?

For a Machine Learning Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as data scientists, AI ethics specialists, and domain-specific experts. These jobs involve understanding context, ethical considerations, and nuanced decision-making that AI cannot fully replicate. Continuous learning and expertise in specialized tools like TensorFlow or PyTorch enhance job security in this field.
What are the most commonly searched types of Machine Learning Developer jobs in Alaska? The most popular types of Machine Learning Developer jobs in Alaska are:
What are popular job titles related to Machine Learning Developer jobs in Alaska? For Machine Learning Developer jobs in Alaska, the most frequently searched job titles are:
What job categories do people searching Machine Learning Developer jobs in Alaska look for? The top searched job categories for Machine Learning Developer jobs in Alaska are:
Machine Learning Developer jobs near you
Infographic showing various Machine Learning Developer job openings in Alaska as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $86,059 per year, or $41.4 per hour.

Data Analyst

WFN Team Indus US Test Client 2

Anchorage, AK • On-site

$1.5K - $2.0K/yr

Full-time

Posted 18 days ago

Job description

About the Role:

The Data Analyst will play a crucial role in transforming raw agricultural data into actionable insights that drive decision-making and improve operational efficiency. This position involves analyzing complex datasets to identify trends, patterns, and anomalies that can inform strategic initiatives within the agriculture sector. The successful candidate will collaborate with cross-functional teams to ensure data integrity and accuracy, enabling the organization to leverage data for enhanced productivity and sustainability. Additionally, the Data Analyst will be responsible for creating compelling visualizations and reports that communicate findings to stakeholders at all levels. Ultimately, this role is essential for fostering a data-driven culture within the organization and supporting its mission to innovate in the agricultural industry.

Minimum Qualifications:

  • Bachelor's degree in Data Science, Statistics, Agriculture, or a related field.
  • Proven experience in data analysis and data visualization tools such as Power BI and Tableau.
  • Strong proficiency in R and SAS programming languages.

Preferred Qualifications:

  • Experience in the agriculture industry or related fields.
  • Familiarity with advanced data analysis techniques and machine learning algorithms.
  • Knowledge of database management systems and SQL.

Responsibilities:

  • Collect, clean, and preprocess agricultural data from various sources to ensure high-quality datasets.
  • Utilize statistical tools and programming languages such as R and SAS to perform data analysis and generate insights.
  • Create and maintain interactive dashboards and visualizations using Power BI and Tableau to present data findings to stakeholders.
  • Collaborate with agronomists and other team members to understand data requirements and provide analytical support for ongoing projects.
  • Conduct regular data audits and implement data cleansing processes to maintain data accuracy and reliability.

Skills:

The required skills in data cleaning and data extraction are essential for ensuring that the datasets used for analysis are accurate and reliable. Proficiency in pivot tables and data visualization tools like Power BI and Tableau allows the Data Analyst to create insightful reports that effectively communicate findings to stakeholders. The use of R and SAS programming languages is critical for performing complex statistical analyses and modeling. Daily work will involve collaborating with team members to understand their data needs, which requires strong communication and problem-solving skills. Preferred skills, such as familiarity with machine learning algorithms, can enhance the analyst's ability to derive deeper insights and contribute to innovative projects.

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