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Weekend Machine Learning Software Engineer Jobs in Wyoming

Meta

Critical Facility Engineer

Cheyenne, WY

$88K/yr

Our data centers serve as the foundation upon which our software operates to meet the demands of ... Please note that Meta may leverage artificial intelligence and machine learning technologies in ...

Weatherby, Inc.

MACHINING LEAD (WEEKEND)

Sheridan, WY · On-site

You thrive in leadership, coaching machine operators to deliver precision and efficiency. * You ... Coordinate with engineering, supply chain, and production leaders to keep parts moving and ...

Weatherby, Inc.

MACHINING LEAD (WEEKEND)

Sheridan, WY · On-site

You thrive in leadership, coaching machine operators to deliver precision and efficiency. * You ... Coordinate with engineering, supply chain, and production leaders to keep parts moving and ...

EMIT Technologies, Inc.

Machine Operator

Sheridan, WY · On-site

$17 - $20.25/hr

Work closely with Maintenance and Programming to resolve equipment alarms, calibration issues, or ... Demonstrate a positive attitude toward learning new equipment, processes, and technologies.

EMIT Technologies, Inc.

Machine Operator

Sheridan, WY · On-site

$20 - $24/hr

Work closely with Maintenance and Programming to resolve equipment alarms, calibration issues, or ... Demonstrate a positive attitude toward learning new equipment, processes, and technologies.

Gordon Food Service

$126K - $171K/yr

The Senior Data Engineer guides the development of GFS' Data Platform consisting of the data lake ... Experience working with artificial intelligence / machine learning platforms and practices. BE PART ...

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Weekend Machine Learning Software Engineer information

What is a weekend machine learning software engineer?

A Weekend Machine Learning Software Engineer is a professional who specializes in developing and deploying machine learning models and software systems, but works primarily on weekends. These engineers often collaborate remotely or part-time, contributing to machine learning projects such as model training, data preprocessing, or integration into applications. The role typically requires strong programming skills, experience with machine learning frameworks, and the ability to work independently. Weekend positions may appeal to individuals seeking flexible schedules or supplemental income, while still engaging in advanced technical work.

What are the typical responsibilities and collaboration expectations for a weekend machine learning software engineer?

As a Weekend Machine Learning Software Engineer, you’ll often focus on addressing project backlogs, refining models, and supporting critical deployments during off-peak hours. You’ll typically collaborate remotely with data scientists, product managers, and other engineers through asynchronous communication or scheduled virtual check-ins. The role requires a high degree of independence and strong documentation skills, as well as the ability to quickly troubleshoot and implement solutions with limited direct supervision. This position is ideal for those who are self-motivated and enjoy contributing to core projects outside the standard workweek.

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

To thrive as a Weekend Machine Learning Software Engineer, you need a solid background in computer science, programming (Python, Java, or C++), and applied mathematics, supported by experience with machine learning algorithms. Familiarity with tools and frameworks such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong problem-solving skills, effective time management, and the ability to work independently are vital soft skills in this role. These competencies are essential for efficiently delivering robust machine learning solutions during limited weekend hours and collaborating remotely with teams.

What is the difference between Weekend Machine Learning Software Engineer vs Part-Time Data Scientist?

AspectWeekend Machine Learning Software EngineerPart-Time Data Scientist
CredentialsBachelor's or higher in CS, ML, or related fields; experience with ML frameworksBachelor's or higher in Data Science, Statistics, or related fields; analytical skills
Work EnvironmentTech companies, startups, or research labs; project-based tasksResearch institutions, consulting firms, or corporate analytics teams
Usage in IndustryDeveloping ML models, algorithms, and software solutionsData analysis, modeling, and insights generation

The Weekend Machine Learning Software Engineer primarily focuses on developing and implementing machine learning models during weekends, often in a software engineering context. In contrast, a Part-Time Data Scientist emphasizes analyzing data, building statistical models, and deriving insights, often with a broader focus on data analysis rather than software development. Both roles may overlap in skills but differ in their core responsibilities and work environments.

What cities in Wyoming are hiring for Weekend Machine Learning Software Engineer jobs?

Cities in Wyoming with the most Weekend Machine Learning Software Engineer job openings:

Weekend Machine Learning Software Engineer jobs near you

30 OPENINGS | SOFTWARE/CLOUD/DATA | FBI PROGRAM | RELOCATION with Security Clearance

Kforce Federal Solutions

Cheyenne, WY • On-site

$55.75 - $72.50/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

Note: This role would require relocating if not local to Huntsville, Alabama (#1 Place to Live) ***One Round Interview / faster offers! *** Start 3-4 weeks*** Location: Huntsville, AL (Redstone Arsenal – Onsite M–F, Core Hours)
Clearance: Active Top Secret Required
Employment Type: W2 Consultant (Kforce)
Benefits: Medical, Dental, Vision, 401(k), and more
Relocation Package: Yes Apply Today! or
Contact Recruiter Directly:
Brenton Anderson
Email:
LinkedIn: https://www.linkedin.com/in/myitrecruiterbrenton/ ➡️Cloud Developer – 6+ YOE
Skills: CloudFormation, Terraform, AWS, Model Deployment, Lambda, CI/CD, GitLab, Kubernetes, Docker ➡️Cloud Developer – 8+ YOE
Skills: AWS, Patching, CloudFormation, ALBs, Encryption, Terraform, Ansible, Packer, GitLab CI/CD, Docker/Podman, Grafana, Kafka, Ansible Automation Platform, Splunk Index Configuration, Lambda, SNS, Kubernetes, S3, IAM, Route 53, EventBridge, Data Lifecycle Manager, Systems Manager, CloudWatch, CloudTrail, Security Hub, Inspector, Trusted Advisor, ECS, EKS ➡️Cloud Developer – 10+ YOE
Skills: Advanced AWS Infrastructure, Patching, CloudFormation, ALBs, Encryption, Terraform, Ansible, Packer, GitLab CI/CD, Docker/Podman, Grafana, Kafka, Ansible Automation Platform, Splunk Index Configuration, Lambda, SNS, Kubernetes, S3, IAM, Route 53, EventBridge, Recycle Bin, Data Lifecycle Manager, Systems Manager, CloudWatch, CloudTrail, Security Hub, Inspector, Trusted Advisor, ECS, EKS; Nice: Prior Sys Admin Experience ➡️Data Analyst – 10+ YOE
Skills: Python, SQL, Exploratory Data Analysis, GitLab, Data Documentation, Power BI, Requirements Gathering
Data Engineer – 8+ YOE
Skills: ETL, Informatica, Linux ➡️Data Engineer– 8+ YOE
Skills: NiFi, Java, AWS, ETL, Spark, Scala, SQL, PL/SQL, Linux, Data Pipelines; Nice: Agile, Maven, GitLab
Data Scientist / Data Engineer – 8+ YOE
Skills: Python, Java or Scala, AWS, Natural Language Processing (NLP), Machine Learning, Statistical Analysis & Model Evaluation, Git, GitLab CI/CD ➡️Developer– 8+ YOE
Skills: Java, Spring Boot, Angular, Python, AWS ➡️DevOps Engineer – 6+ YOE
Skills: AWS, Docker, Application Load Balancers (ALB), Terraform, CloudFormation, Databricks, AWS Redis, Spring Boot, PKI ➡️DevOps Engineer – 8+ YOE
Skills: AWS, Docker, Application Load Balancers (ALB), Terraform, CloudFormation, Databricks, AWS Redis, Spring Boot, PKI ➡️Solutions Architect – 8+ YOE
Skills: ElasticSearch/OpenSearch, Cluster Deployment & Configuration, Backup & Recovery, Cluster Monitoring, Indexing, AWS, Application Load Balancers (ALB); Nice: Java ➡️Software Developer – 6+ YOE
Skills: Java, AWS, Spring Boot, PostgreSQL (AWS RDS), Redis, PKI/SSL, DynamoDB, OpenSearch, Keycloak ➡️Software Engineer – 8+ YOE
Skills: Java, AWS, Spring Boot, PostgreSQL (AWS RDS), Redis, PKI/SSL, DynamoDB, OpenSearch, Keycloak ➡️Software Engineer – 8+ YOE
Skills: Java, Spring Boot, REST APIs, Microservices, GitLab CI/CD ➡️Software Engineer – 8+ YOE
Skills: Java, Spring Boot, Angular, Python, AWS ➡️Software Engineer – 10+ YOE
Skills: Java, Microservices, Spring Boot, Docker, Python, Terraform, GitLab; Nice: Terragrunt, Agile, Maven The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

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