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Flexible Remote Machine Learning Engineer Jobs in Colorado

Synergetics

Software Engineer II

Denver, CO · On-site +1

$90K - $110K/yr

The platform transforms data from multiple sources, uses Azure's machine-learning capabilities for ... Benefits and Work Environment Synergetics offers a flexible, mostly remote work environment.

Booz Allen Hamilton, Inc.

Computer Scientist, Mid

Aurora, CO · On-site +1

$69K - $158K/yr

Remote Work: No Job Number: R0246464 Location: Aurora,CO,US Share job via: Share Computer Scientist ... Your analytics, data science, AI, and machine learning knowledge and consulting expertise, coupled ...

Booz Allen Hamilton, Inc.

Data Scientist, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

... science, AI, machine learning, probability modeling, data mining, data engineering, or data ... Remote : If this position is listed as remote, there may still be occasions when you are required ...

Auria

Chief Engineer

Colorado Springs, CO · On-site +1

$160K - $190K/yr

This role is remote but with a location preference of Colorado Springs, CO. Support of a broad ... machine learning (ML); and Cybersecurity and zero-trust architecture. WHAT YOU CAN EXPECT TO DO:

Auria

Chief Engineer

Colorado Springs, CO · On-site +1

$169K - $190K/yr

This role is remote but with a location preference of Colorado Springs, CO. Support of a broad ... machine learning (ML); and Cybersecurity and zero-trust architecture. WHAT YOU CAN EXPECT TO DO:

COMIRB

Lead Cloud Platform & Dev Ops Engineer

Denver, CO · On-site +1

$54.25 - $74.25/hr

Contribute to automation and data-driven technologies, including support for machine learning and ... Pre-tax savings plans, such as Health care and Dependent care flexible spending accounts. * Embrace ...

Lynker Corporation

Hydrologic Modeler

Boulder, CO · On-site +1

$80K - $120K/yr

Experience with machine-learning hydrologic modeling tools such as NeuralHydrology and dHBV, or ... Flexible spending accounts * Employee assistance program (EAP) * Short- and long-term disability ...

The Mutual Group

Lead AI Engineer - AWS Platform

Denver, CO · On-site +1

$130K - $190K/yr

Build machine learning models that automate their training, validation, monitoring, and retraining ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

ServiceTitan

Principal Software Engineer

Denver, CO · On-site +1

$139K - $186K/yr

Perks & Benefits 1. Work/Life Balance: flexible work schedule, flexible PTO 2. Family-Friendly ... Many of the features we offer - in particular, Machine Learning and AI-driven scheduling and ...

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All JobsMachine Learning Engineer JobsFlexible Remote Machine Learning Engineer JobsFlexible Remote Machine Learning Engineer Jobs in Colorado

Flexible Remote Machine Learning Engineer information

How does a flexible remote work arrangement impact collaboration and project delivery for machine learning engineers?

In a flexible remote setting, Machine Learning Engineers often rely on digital collaboration tools to communicate with team members and manage projects. This setup allows for asynchronous work, enabling engineers to focus deeply on model development and data analysis without constant interruptions. However, it also means proactively scheduling check-ins and maintaining clear documentation are crucial to ensure alignment across distributed teams. While remote work offers autonomy and work-life balance, successful engineers build strong communication habits to keep projects on track and foster effective collaboration with data scientists, product managers, and software engineers.

What is a flexible remote machine learning engineer?

A Flexible Remote Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models while working remotely, often with flexible hours. They use programming, data analysis, and statistical skills to create algorithms that solve real-world problems, collaborating with teams through digital communication tools. This role allows for a better work-life balance and can be performed from anywhere with a reliable internet connection. Flexible remote positions are especially popular in the tech industry, where project-based work and results matter more than strict office hours.

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

AspectFlexible Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, ML, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; proficiency in data analysis
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis-focused
Industry UsageTech, finance, healthcare, e-commerceTech, marketing, finance, research
Common Search IntentRoles involving ML model development and deploymentRoles focused on data analysis and insights

The main difference is that a Flexible Remote Machine Learning Engineer primarily develops and deploys machine learning models, while a Data Scientist focuses on analyzing data to generate insights. Both roles often require similar educational backgrounds and can be remote, but their core responsibilities differ in application and focus.

What are the key skills and qualifications needed to thrive as a flexible remote machine learning engineer?

To thrive as a Flexible Remote Machine Learning Engineer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, cloud platforms (AWS, GCP, or Azure), and experience with data pipelines are essential, and certifications in machine learning or cloud technologies can be advantageous. Excellent communication, self-motivation, and time management skills help you collaborate effectively and stay productive in a remote, flexible work environment. These skills ensure you can independently deliver high-quality ML solutions, maintain clear team communication, and adapt to evolving project requirements.

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

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

What are popular job titles related to Flexible Remote Machine Learning Engineer jobs in Colorado?

For Flexible Remote Machine Learning Engineer jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Flexible Remote Machine Learning Engineer jobs in Colorado look for?

The top searched job categories for Flexible Remote Machine Learning Engineer jobs in Colorado are:

What cities in Colorado are hiring for Flexible Remote Machine Learning Engineer jobs?

Cities in Colorado with the most Flexible Remote Machine Learning Engineer job openings:

Flexible Remote Machine Learning Engineer jobs near you

Software Engineer II

Synergetics

Denver, CO • On-site, Remote

$90K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

Job description

About Synergetics and OpenFLIS
Synergetics Incorporated provides innovative SaaS supply-chain solutions for federal and defense clients through the FedRAMP-authorized OpenFLIS® platform. OpenFLIS is a microservices-based platform hosted in Microsoft Azure that consolidates data products for each federal customer and delivers them through a dashboard experience. The platform transforms data from multiple sources, uses Azure's machine-learning capabilities for search, and offers central control of user access and zero-trust security. Synergetics' FedRAMP Moderate authorization (Package ID FR1901136437) allows federal customers to quickly deploy data products without incurring the high cost and risk of independent authorization.
Position Summary
The OpenFLIS team is seeking a Software Engineer with strong .NET and Angular skills to develop and maintain OpenFLIS's microservices and user interface. The engineer will build scalable services and web applications using C#/.NET and Angular, work with SQL Server databases, and integrate with Azure resources. You will also contribute to DevOps activities-including CI/CD automation, infrastructure as code, and monitoring-and administer the Azure environments that host OpenFLIS. This role requires working within a FedRAMP-authorized environment and following rigorous security and compliance practices.
This is a mostly remote position; candidates should reside or be willing to relocate to Northern Colorado (Fort Collins / Denver / Boulder metro areas) and be able to attend periodic in-person meetings. U.S. citizenship is required to support FedRAMP compliance.
Responsibilities
  • Full-stack development: Design, develop and maintain web applications using the .NET framework and Angular. Responsibilities include implementing user-friendly front-end components, writing clean and efficient server-side code, and ensuring high performance and scalability.
  • Microservices and APIs: Build and maintain microservices that form the OpenFLIS platform, ensuring services are modular, well-tested, and integrate with Azure services.
  • Database development: Develop and optimize SQL Server databases, design schemas and stored procedures, and integrate data access layers.
  • DevOps and automation: Implement CI/CD pipelines using GitHub and Azure DevOps; manage infrastructure as code (e.g., BICEP or Terraform); automate deployment and configuration of Azure resources; and monitor system health.
  • Azure administration: Provision and manage Azure resources such as App Services, Functions, storage accounts, virtual networks, Key Vaults, and monitoring tools.
  • ServiceNow integration: Configure and administer ServiceNow modules used by the team (e.g., incident, change, configuration management) and integrate ServiceNow with OpenFLIS workflows.
  • FedRAMP compliance: Develop software and manage systems within a FedRAMP-authorized service boundary, adhering to security policies and documentation requirements; collaborate with cybersecurity and compliance teams to support audits and continuous monitoring.
  • Collaboration and communication: Participate in code reviews, sprint planning, and design discussions; collaborate with UX designers and product managers; and provide timely communication on progress and issues.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Software Engineering or related field, or equivalent work experience.
  • 3+ years of professional experience in software development, with a focus on C#/.NET and Angular or similar frameworks.
  • Strong knowledge of full-stack development, including RESTful APIs, JavaScript/TypeScript, HTML/CSS, and SQL Server databases.
  • Experience with Azure services (App Services, Azure SQL, Azure Functions, Storage, Key Vault, Azure DevOps or GitHub Actions).
  • Familiarity with DevOps practices, version control (GitHub), and CI/CD pipelines.
  • Understanding of security best practices and willingness to learn FedRAMP, DoD IL-4, and NIST 800-53 compliance requirements.
  • Excellent problem-solving skills, strong attention to detail, and effective communication skills.
Preferred Qualifications
  • Experience developing microservices using .NET Core and containerization (e.g., Docker, Kubernetes).
  • Working knowledge of ServiceNow configuration and integration.
  • Experience with infrastructure as code (BICEP, ARM templates, Terraform).
  • Familiarity with other front-end frameworks (React, Vue) and backend technologies.
  • Previous work on FedRAMP Moderate or other government compliance frameworks.
  • Certifications such as Microsoft Certified: Azure Developer Associate, Azure Administrator, or Security+.
Benefits and Work Environment
Synergetics offers a flexible, mostly remote work environment. Employees are part of an agile, collaborative team dedicated to securing critical supply-chain operations and modernizing technology solutions within the Department of Defense space. Benefits include competitive salary, employer-paid medical, dental and vision insurance, retirement plan contributions, paid time off, wellness and home-office stipends, and professional development opportunities.

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