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Pytorch Jobs in Denver, CO (NOW HIRING)

Bachelor's or Master's degree in Computer Science, Software Engineering, or related field * 7+ years of software engineering experience, with expertise in AI production systems (Python, PyTorch) and ...

Senior Applied ML Engineer

Denver, CO · Remote

$125K - $183K/yr

Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, Hugging Face). * Experience with ML Ops platforms and deploying ML systems into production (MLflow, Kubeflow or equivalent)

Senior ML Software Engineer - Apple Watch

Boulder, CO · On-site

$127K - $167K/yr

... PyTorch or TensorFlow Experience with Swift or Objective-C and developing on Apple platforms Experience architecting large scale systems Preferred Qualifications You collaborate effectively with ...

Senior ML Software Engineer, Watch Software

Boulder, CO · On-site

$127K - $167K/yr

... PyTorch or TensorFlow Experience with Swift or Objective-C and developing on Apple platforms Excellent communication and collaboration skills, with ability to work independently or in small teams ...

AI/ML Engineer III

Englewood, CO · On-site

$124.77 - $171.56/hr

Proficiency with machine learning frameworks such as TensorFlow or PyTorch and advanced AI/ML techniques, including supervised, unsupervised, reinforcement learning (e.g., PPO, Actor/Critic) and ...

Sr AI/ML Engineer

Lone Tree, CO · On-site

$106K - $146K/yr

Advanced skills in machine learning frameworks (TensorFlow, PyTorch) and modern AI/ML techniques, including supervised, unsupervised, and reinforcement learning (e.g., PPO, Actor/Critic)

Strong proficiency in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn) * Experience with data analysis, feature engineering, and model evaluation * Familiarity with ...

AI/ML Engineer II

Lone Tree, CO · On-site

$99K - $136K/yr

Practical experience using machine learning frameworks (e.g., TensorFlow, PyTorch) and applying core AI/ML techniques, including supervised, unsupervised, and introductory reinforcement learning ...

Showing results 41-60

Pytorch information

What is a PyTorch job?

A PyTorch job typically involves working with the PyTorch deep learning framework to develop, train, and deploy machine learning models. Professionals in this role may build neural networks, perform data preprocessing, optimize models, and integrate them into applications. These jobs are commonly found in AI research, software development, and data science, requiring expertise in Python, deep learning, and model optimization techniques.

What kinds of projects or tasks can a PyTorch developer expect to work on in a typical role?

As a PyTorch developer, you will likely work on developing, refining, and deploying deep learning models for tasks such as image recognition, natural language processing, or recommendation systems, depending on your company's focus. Your responsibilities may include data preprocessing, model architecture design, experimentation, performance tuning, and collaborating with data scientists and software engineers to integrate models into production systems. You might also be called upon to conduct research or prototype new algorithms, keeping up with the latest advancements in the AI field. Projects can vary from quick proofs of concept to large-scale deployments, offering diverse opportunities to grow your technical and collaborative skills.

What are the key skills and qualifications needed to thrive in the PyTorch position, and why are they important?

To thrive in a PyTorch developer role, you need a strong background in deep learning, programming (especially Python), and a solid understanding of machine learning fundamentals, often supported by a degree in computer science, engineering, or a related field. Experience with PyTorch, CUDA, cloud platforms (like AWS or Azure), and familiarity with data processing pipelines are highly valued, and certifications in AI or machine learning can be beneficial. Key soft skills include problem-solving, teamwork, and effective communication to collaborate with cross-functional teams and present technical results clearly. These skills are crucial for building robust machine learning models, ensuring reproducibility, and driving innovation in fast-paced, data-driven environments.

What are the most commonly searched types of Pytorch jobs in Denver, CO?

The most popular types of Pytorch jobs in Denver, CO are:

What are popular job titles related to Pytorch jobs in Denver, CO?

For Pytorch jobs in Denver, CO, the most frequently searched job titles are:

Infographic showing various Pytorch job openings in Denver, CO as of August 2026, with employment types broken down into 2% Internship, 89% Full Time, 5% Part Time, and 4% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution.

Director of AI and ML Engineering - Systems Integrator (Broomfield)

Hamilton Barnes Associates Limited

Broomfield, CO • On-site

$220K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Looking for a role with plenty of growth opportunities?

Join a leading IT solutions provider delivering security, cloud, networking, data center, and managed services to organizations worldwide. With a customer-first approach and deep technical expertise, the organization helps businesses modernize, optimize, and scale their IT infrastructure.

This opportunity is for a Director of AI & ML Engineering to lead the development, delivery, and operationalization of AI and machine learning capabilities across software products and internal platforms. The role involves building and mentoring an AI/ML engineering team, collaborating with cross‑functional stakeholders, and driving AI initiatives from strategy and deployment through ongoing governance, optimization, and lifecycle management.

Ready to make a move? Get in touch and apply today!

Responsibilities
  • Execute the company’s AI strategy, aligning with Customer’s business objectives and the evolving needs of the satellite connectivity industry
  • Lead the design, build, and deployment of AI/ML solutions that improve customer experience and operational outcomes, including areas such as network/service insights, predictive maintenance, anomaly detection, support automation, and sales enablement
  • Own the end-to-end delivery lifecycle for AI/ML initiatives: problem framing, data readiness, experimentation, production-ization, monitoring, and continuous improvement
  • Partner with Product to translate business goals into actionable AI/ML roadmaps and measurable outcomes tied to customer and operational value
  • Establish and mature ML Ops and LLM Ops practices: model versioning, CI/CD, evaluation, monitoring, drift detection, retraining workflows, and production support
  • Define engineering standards for AI/ML systems including quality, reliability, security, latency, cost-to-serve, and scalability
Skills/Must Have
  • Demonstrated success taking AI/ML systems into production and owning operational performance (monitoring, reliability, retraining, cost)
  • Strong experience with modern ML tooling and frameworks (e.g., PyTorch, TensorFlow) and cloud‑based AI services (Azure, AWS, or GCP)
  • Proven ability to lead cross‑functional execution and communicate effectively with engineering, product, and business stakeholders
  • Strong understanding of data privacy, security, and governance practices in production systems
  • Experience delivering AI/ML capabilities in connectivity, telecommunications, aviation, or other high‑reliability industries
Salary
  • $220,000
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