ZipRecruiter

Log In

2

Remote Deep Learning Engineer Jobs in Colorado (NOW HIRING)

Maxar

Algorithm Engineer

Westminster, CO · On-site +1

$102K - $136K/yr

  • Retirement

Vantor is seeking an Algorithm Engineer to help develop next-generation solutions in computer ... remote sensing applications. * Experience with machine learning frameworks and modern AI ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0247097 Location: Aurora,CO,US Share job via: Share Data Engineer ... Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0247096 Location: Aurora,CO,US Share job via: Share Data Engineer ... Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be ...

Five and Fly

Software Engineer

Denver, CO · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote Description **SKILLBRIDGE to FULL-TIME EMPLOYMENT** Ready to shape the future of AI ... Solve deep technical challenges like data orchestration at scale, secure data flow optimization ...

Simplesense

Senior Platform Engineer

Denver, CO · On-site +1

$107K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... deep appreciation for our customers' mission and end users' priorities. We build for scale ... Remote: Quarterly travel for team meetings. What You'll Do * Solution Ownership: Collaborate with ...

Simplesense

Senior Platform Engineer, Connectivity

Denver, CO · On-site +1

$107K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Our team pairs over a century of boots-on-the-ground mission experience with deep technical ... Remote: Quarterly travel to hub locations for team syncs and alignment. Our Performance Culture We ...

Axon

Senior Sales Engineer, Enterprise Air

Denver, CO · Remote

$107K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Strategic Technical Leadership: build deep relationships with executive and technical stakeholders ... Remote- travel up to 50% of time Reports to : Sr. Director, Sales Engineering Profile of Success ...

Consor Engineers

Water & Wastewater Engineer

Denver, CO · On-site +1

$100/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We remain open to remote work options for applicants whose background and performance standards ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Consor Engineers

Water & Wastewater Engineer

Denver, CO · On-site +1

$100/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We remain open to remote work options for applicants whose background and performance standards ... demand learning center, and paid professional memberships. * Work-Life Alignment - Industry ...

Pax8

Senior IAM Engineer

Denver, CO · Remote

$107K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Senior IAM Engineer | USA | Pax8 | Remote As a senior member of Pax8's internal Technology Services ... Deep experience with cloud platforms such as Azure, AWS, or GCP. * Hands-on experience with ...

previous page

Showing results 41-60

All JobsDeep Learning Engineer JobsRemote Deep Learning Engineer JobsRemote Deep Learning Engineer Jobs in Colorado

Remote Deep Learning Engineer information

See Colorado salary details

$11.6K

$88.2K

$147.2K

How much do remote deep learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote deep learning engineer in Colorado is $88,207.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,700.00 and $146,200.00 per year, depending on experience, location, and employer.

What is a remote deep learning engineer?

A Remote Deep Learning Engineer is a professional who works primarily online to design, develop, and implement deep learning models and algorithms. These engineers use neural networks and large datasets to solve complex problems in fields like computer vision, natural language processing, and more. Working remotely, they collaborate with team members via digital tools, write code, optimize models, and often deploy solutions to cloud environments. This role requires strong programming skills, experience with deep learning frameworks (like TensorFlow or PyTorch), and the ability to work independently in a distributed team setting.

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

To thrive as a Remote Deep Learning Engineer, you need a strong background in machine learning, deep learning frameworks, and programming languages like Python, usually supported by a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (e.g., AWS, GCP), and version control systems is typically required, with certifications in AI or cloud technologies being advantageous. Excellent problem-solving, communication, and self-management skills make candidates stand out in remote environments. These skills and qualities are essential for developing effective AI solutions, collaborating across distributed teams, and driving innovation in the fast-evolving field of deep learning.

How do remote deep learning engineers typically collaborate with cross-functional teams despite working remotely?

Remote Deep Learning Engineers frequently collaborate with data scientists, product managers, and software engineers using digital tools such as Slack, Zoom, and collaborative code platforms like GitHub. Regular virtual meetings and sprint planning sessions help ensure alignment on project goals and milestones. Clear documentation and asynchronous communication are crucial for effective teamwork, especially when team members are in different time zones. This collaborative structure enables remote engineers to contribute meaningfully to model development, deployment, and integration while maintaining flexibility.

What is the difference between Remote Deep Learning Engineer vs Remote Machine Learning Engineer?

AspectRemote Deep Learning EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with deep learning frameworksBachelor's/Master's in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentResearch and development, model training, neural network designData analysis, model deployment, algorithm development
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, e-commerce

Remote Deep Learning Engineers focus on designing and training neural networks for complex AI tasks, while Remote Machine Learning Engineers work on broader ML models and algorithms. Both roles require strong programming skills and knowledge of machine learning frameworks, but Deep Learning Engineers specialize in neural networks and large-scale data processing.

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

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

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

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

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

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

Remote Deep Learning Engineer jobs near you
Infographic showing various Remote Deep Learning Engineer job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $88,207 per year, or $42.4 per hour.

Senior MLOps Platform Engineer {S}

The Stratagem Group

Colorado Springs, CO • On-site, Remote

$90K - $123K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Job description

ARKA Group L.P. ("ARKA") is an advanced technologies company serving the U.S. military, intelligence community, and commercial space industry delivering next-generation solutions to support the national security space enterprise. Built on more than six decades of excellence, ARKA brings modern approaches and a culture of innovation to the challenges of today.
Join the ARKA team to learn how Beyond Begins Here. Discover your next career opportunity now!
Position Overview:
Our AI Center of Excellence builds the next generation of Agentic AI products that autonomously reason, plan, and act on behalf of our customers. To deliver these capabilities at scale, we need a platform engineering group that provides a robust, secure, and highly available MLOps foundation across both on premise clusters and AWS. The team works closely with data scientists, product engineers, and SREs to turn experimental models into reliable services that power mission critical applications.
In support of work/life balance, many positions are available for a flexible schedule within the pay period. Ask us about the opportunity for flex scheduling if that's of interest to you.
Why join us
  • Shape the end-to-end lifecycle of cutting-edge AI services-from model training to production inference.
  • Influence architecture decisions for a hybrid cloud environment that will serve thousands of concurrent agents.
  • Collaborate with world-class researchers and product teams while enjoying a strong engineering culture focused on automation, observability, and reliability.

Responsibilities:
  • Design, implement, and operate a unified MLOps platform that supports both on-premise Kubernetes clusters and AWS. The platform should enable rapid onboarding of new Agentic AI services and provide consistent governance across environments.
  • Develop reusable CI/CD pipelines (GitLab CI) for model packaging, containerization, automated testing, canary releases, and rollbacks.
  • Build observability, monitoring, and alerting stacks (Prometheus, Grafana, OpenTelemetry, CloudWatch) to track inference latency, throughput, resource utilization, and data drift for real time and batch workloads.
  • Create self-service tooling (CLI, SDKs, UI dashboards) that allows data science and product teams to register models, define inference endpoints, and manage versioning without deep DevOps involvement.
  • Architect and maintain data pipelines that feed training data, model artifacts, and inference logs into a governed data lake (S3, on prem object store).
  • Collaborate with research and product engineers to translate experimental Agentic AI prototypes into production grade services, ensuring reproducibility, security, and compliance.
  • Drive performance optimization for inference workloads (GPU/CPU scaling, model quantization, batching strategies)
  • Champion best practices in security (IAM, network policies, secret management), cost efficiency, and disaster recovery for the hybrid infrastructure.
  • Mentor junior engineers and contribute to internal knowledge bases, upskilling, and review processes.

Required Qualifications:
  • BS in computer science or related engineering field
  • 5+ years of experience building and operating production grade software infrastructure, preferably in a hybrid onprem / cloud environment
  • Deep expertise with Kubernetes (cluster provisioning, Helm, operators, custom resources) and container runtimes (Docker, OCI)
  • Hands on experience with AWS services (EKS, SageMaker, S3, IAM, CloudWatch, Step Functions) and the ability to bridge onprem resources with AWS via VPN/Direct Connect
  • Strong software engineering skills in Python and at least one compiled language (Go, Rust, or Java) for building platform components and SDKs
  • Proficiency with CI/CD and GitOps tooling (Argo CD, Flux, Gitlab, GitHub Actions, or similar)
  • Solid understanding of distributed systems (consensus, fault tolerance, load balancing) and experience tuning high throughput, low latency inference pipelines
  • Experience with data engineering frameworks (Airflow, Prefect, Kafka, Spark, Flink) and building robust, versioned data pipelines
  • Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry, ELK) and the ability to define meaningful SLIs/SLOs for AI services
  • Track record of collaborating with research or product teams to move prototypes to production, translating experimental code into maintainable services
  • Strong problem solving mindset, excellent written and verbal communication, and a passion for building scalable AI platforms

Preferred Qualifications:
  • Working knowledge of Scrum and Agile software development methodology

Location: Remote
This is a remote position that will primarily be supporting our Aurora, CO and King of Prussia, PA locations. Due to contract requirements, the job has to be performed from a remote location in the United States.
What We Offer:
  • Comprehensive medical/vision/dental insurance packages
  • Company contributions to qualified HSA accounts
  • 401k retirement plan with industry leading company contributions
  • 3 weeks of vacation accrual per year plus time off for sick leave and unscheduled life events
  • 13 paid holidays
  • Upfront tuition assistance for approved degree programs
  • Annual bonus program based on company and employee performance
  • Company paid life insurance, AD&D, Short-Term and Long-Term disability insurance
  • 4 weeks paid Parental Leave
  • Employee assistance program (EAP)

EHS/Environmental Requirements:
This job operates alongside a professional office environment. While performing the duties of this job, the employee routinely is required to use hands to keyboard, communicate, listen to, and interpret instructions and remain stationary for extended periods of the time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the job.
Applicants are invited to apply for a reasonable accommodation to perform the essential duties of the job. To apply, send a request to staffing@arka.org or contact 203-797-5000 and press 2 for Human Resources.
ITC & Security Clearance Requirements:
This position requires the incumbent to access export-controlled information. If you are not a U.S. Person, any offer is contingent upon the Company's ability to obtain a special license granting you access. This could take several months. You will not be able to begin employment until such license is obtained.
Visa Restrictions:
No visa sponsorship is available for this position.
Pre-employment Screenings:
Employment with any ARKA companies in the U.S. is contingent upon satisfactory completion of several pre-employment requirements to include a credit check, background check, and drug screen.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Apply