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Overnight Remote Machine Learning Jobs in Utah (NOW HIRING)

AI Engineer

Salt Lake City, UT · On-site +1

$101K - $159K/yr

... machine learning and deep learning models. Ability to build and deploy MCP servers to provide LLMs with secure, standardized access to local and remote tools.. * Applicant should have experience in ...

Senior AI Developer

Salt Lake City, UT · On-site +1

$52.75 - $69.75/hr

... or machine learning applications * Hands-on experience building with LLMs, including RAG ... Remote employees will be expected to travel to an office periodically.

Two-time winner (2024, 2023) Top Workplace Innovation * 2025 Remote Work * 2024 Technology Industry ... Establish financial visibility and governance models for AI and machine learning workloads ...

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Exposure to AI technologies, such as machine learning, natural language processing, and data ... Remote NY will be considered, preferred is DC Metro and Louisville, KY. Travel : Occasional travel ...

Data Engineer

Salt Lake City, UT · On-site +1

$105K - $126K/yr

Exposure to data science, forecasting, or machine learning workflows. * Experience with Power BI or ... Dollar for dollar 401K match of 6%. * Flexible work hours, hybrid schedules with remote work ...

This role can be remote in the United States and supports the Motion Drive Products Division in New ... Our Team Dynamics Our teams support each other, collaborate, and never stop learning. Everyone ...

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Overnight Remote Machine Learning information

What are Overnight Remote Machine Learning jobs?

Overnight Remote Machine Learning jobs are positions where professionals work on machine learning tasks outside of traditional office hours, typically during the night, and do so from a remote location. These roles may involve building models, analyzing data, or maintaining machine learning systems while collaborating with teams in different time zones or providing 24/7 support. Overnight shifts can be critical for companies with global operations or those that require continuous system monitoring. Working remotely allows for flexibility and access to a wider talent pool. These positions often require strong programming and analytical skills, as well as the ability to work independently with minimal supervision.

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

To thrive as an Overnight Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid background in statistics and algorithms, and a relevant degree in computer science or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch, experience with cloud platforms like AWS or GCP, and knowledge of version control systems are typically required. Excellent problem-solving abilities, self-motivation, and clear written communication are crucial soft skills for remote and overnight work schedules. These competencies ensure that you can efficiently develop, deploy, and monitor machine learning models independently while collaborating across time zones.

What are some common challenges faced by overnight remote machine learning professionals, and how can they be addressed?

Overnight remote machine learning professionals often encounter challenges like coordinating with daytime teams across different time zones, maintaining effective communication, and managing alertness during non-traditional hours. To address these, it's helpful to establish clear communication protocols, use collaboration tools for asynchronous updates, and set a structured sleep and work routine to ensure productivity. Additionally, leveraging automated monitoring and robust documentation helps in managing handoffs and reducing errors during shift changes.

What is the difference between Overnight Remote Machine Learning vs Data Scientist?

AspectOvernight Remote Machine LearningData Scientist
CredentialsBachelor's or higher in CS, ML, or related fields; certifications like AWS, TensorFlowBachelor's or higher in CS, Statistics, or related fields; advanced degrees common
Work EnvironmentRemote, overnight shifts, focused on model deployment and data pipelinesOffice or remote, standard hours, focused on data analysis and model development
Industry UsageTech, finance, healthcare companies with 24/7 operationsResearch, tech, consulting firms, often with flexible hours

Overnight Remote Machine Learning roles typically focus on deploying models and maintaining data pipelines during overnight hours, often requiring specific certifications and remote work setups. Data Scientists usually work during regular hours, concentrating on data analysis, model development, and research. Both roles are vital in tech-driven industries but differ mainly in work hours, environment, and focus areas.

What are popular job titles related to Overnight Remote Machine Learning jobs in Utah? For Overnight Remote Machine Learning jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Overnight Remote Machine Learning jobs in Utah look for? The top searched job categories for Overnight Remote Machine Learning jobs in Utah are:
What cities in Utah are hiring for Overnight Remote Machine Learning jobs? Cities in Utah with the most Overnight Remote Machine Learning job openings:
Infographic showing various Overnight Remote Machine Learning job openings in Utah as of June 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 70% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.
Principal Engineer, Business Intelligence

Principal Engineer, Business Intelligence

JetBlue Airways Corporation

Salt Lake City, UT • Remote

$97K/yr

Other

Posted 3 days ago


JetBlue rating

7.7

Company rating: 7.7 out of 10

Based on 80 frontline employees who took The Breakroom Quiz

10th of 26 rated airlines


Job description

JetBlue Airways Corporation: Principal Engineer, Business Intelligence -Salt Lake City, UT

DUTIES:

  • Lead the architecture, design, and implementation of scalable BI solutions that ensure data integrity, accuracy, and security across all BI systems.
  • Use expertise in Tableau, dbt, Snowflake, Databricks and modern BI practices to drive efficiency and innovation while collaborating with other analyst teams to develop business-critical dashboards, automate workflows, and optimize system performance.
  • Collaborates with cross-functional teams and business leaders to understand requirements, redesign mission-critical dashboards, optimize system performance, and advocate for automation and standardization.
  • Provide technical leadership in data integration, strategic architecture, and BI tools such as Tableau, Spotfire, and Sigma.
  • Design data architectures leveraging Big Data technologies like Snowflake, dbt, and Databricks to build scalable Tableau dashboards.
  • Apply in-depth knowledge of data architecture principles, including data modeling, extract/transform/load (ETL) processes, data governance, and quality controls, to ensure robust and compliant data systems.
  • Develop, maintain scalable data pipelines using Snowflake & DBT for efficient data processing.
  • Optimize BI solutions using Tableau, including advanced capabilities like APIs, repositories, and metadata collection.
  • Support data integration, modeling, and dashboard development using a variety of databases such as Oracle, SQL Server, BigQuery, and Web Data Connectors.
  • Implement continuous integration (CI)/continuous deployment (CD) pipelines to automate and scale data integration and deployment workflows.
  • Utilize Postman and REST methods to support BI metadata management & governance.
  • Implement core Databricks components (DataFrames, Datasets, Spark SQL, Delta Lake) to drive continuous improvement in BI workspace.
  • Collaborate with product teams to design data workflows using Microsoft Fabric (KQL databases, Azure Cosmos DB, Blob storage, one lake) & lead proof of concept's (POCs) for BI systems.
  • Orchestrate data movement pipelines using Azure Data Factory (ADF) and Databricks for seamless data integration.
  • Develop BI email automation and data workflows using Python libraries (e.g., pandas, Plotly, NumPy, smtplib) for business process automation.
  • Ensure data pipeline reliability and quality using Monte Carlo for data monitoring and lineage.
  • Architect Tableau Cloud governance with RBAC and certified content, integrated with Snowflake and Databricks to eliminate redundancy.
  • Partner with data science teams to identify artificial intelligence (AI)/machine learning (ML) opportunities for predictive and prescriptive analytics.
  • Embed AI capabilities like natural language queries, automated insights, and intelligent classification into BI tools.
  • Build and deploy custom Generative Pre-training Transformers (GPTs) for business process automation and contextual analytics.
  • Other duties as assigned.

REQUIREMENTS: Master's degree (MBA accepted), or foreign equivalent degree, in Computer Science, Information Systems, Engineering, Cybersecurity or a related field and two (2) years of experience with Business Intelligence Engineering.  Experience must include:

  • 2 years of experience in Business Intelligence tools such as Spotfire, Tableau.
  • 2 years of expertise in advanced Spotfire development leveraging data functions and integrate diverse data sources.
  • Any amount of experience building Spotfire dashboards using diverse data from Oracle, SQL, Informix, PostgreSQL, etc.
  • Any amount of experience with Iron Python scripting for data workflows and interactive dashboard solutions.
  • Any amount of hands-on experience in developing ETL data pipelines using Pentaho.
  • 2 years of experience in Tableau development and performance optimization.
  • Demonstrated knowledge* of front-end technologies like HTML, CSS, JavaScript to enhance BI dashboard integration and user experience.
  • Any amount of experience providing technical guidance to business users, stay updated with BI technologies, and integrate best practices.
  • Any amount of experience mentoring users and documenting BI tools and processes for effective business adoption.

*Knowledge may be demonstrated through education, training and/or experience.

Must pass a pre-employment drug test.

SALARY: $97,386.00/year - $170,00.00/Year

LOCATION: 6322 South 3000 East, Suite G10, Salt Lake City, UT 84121.

100% Remote; position may be performed from anywhere in the U.S.

TRAVEL: Available for occasional domestic overnight travel (10%)                     

JetBlue Airways Corp. is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, veteran status, sexual orientation, gender identity or expression, disability status, pregnancy, genetic information, citizenship status or any other characteristic protected by law. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

JetBlue Airways will provide reasonable accommodations to applicants with qualified disabilities in accordance with the ADA. If you require a reasonable accommodation for our application process or any stage of the process, please contact BlueAccommodations@jetblue.com or alternatively send a fax to (718) 504-5338. Requests will be kept confidential and shared strictly on a need-to-know basis only.

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