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Machine Learning Quantum Computing Jobs in Colorado

Seneca Resources Company, LLC

A.I. Engineer

Denver, CO · On-site

$70/hr

Machine Learning * Deep Learning * Statistical Modeling * Neural Networks * Model Validation and Monitoring * Experience with cloud computing platforms and distributed AI workloads. * Experience with ...

Vizient

Lead Data Scientist

Englewood, CO

In this role, you willdevelop and deploy advanced analytics, machine learning, generative AI, and ... computing platforms to identify trends, opportunities, and actionable insights. * Design and ...

Vizient, Inc.

Lead Data Scientist

Centennial, CO · On-site

In this role, you willdevelop and deploy advanced analytics, machine learning, generative AI, and ... computing platforms to identify trends, opportunities, and actionable insights. * Design and ...

CACI

AI/ML Engineer with Security Clearance

Aurora, CO · On-site

Experience with Machine Learning libraries and frameworks such as Hugging Face and LangChain * Experience with Linux * Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda ...

CACI International, Inc.

AI/ML Engineer

Aurora, CO · On-site

Experience with Machine Learning libraries and frameworks such as Hugging Face and LangChain * Experience with Linux * Familiarity with using AWS cloud computing resources such as EC2, S3, Lambda ...

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All JobsMachine Learning Quantum Computing JobsMachine Learning Quantum Computing Jobs in Colorado

Machine Learning Quantum Computing information

What is the difference between Machine Learning Quantum Computing vs Data Scientist?

AspectMachine Learning Quantum ComputingData Scientist
Required CredentialsAdvanced degrees in quantum computing, machine learning, or related fieldsDegree in data science, statistics, or computer science
Work EnvironmentResearch labs, tech companies focusing on quantum tech, academiaBusiness environments, tech companies, consulting firms
Industry UsageEmerging quantum tech industry, research institutionsFinance, healthcare, marketing, e-commerce
Common Search/ComparisonQuantum algorithms, quantum machine learningData analysis, predictive modeling

Machine Learning Quantum Computing specialists focus on developing algorithms that leverage quantum mechanics to enhance machine learning tasks, often requiring advanced knowledge of quantum physics. Data Scientists analyze and interpret large datasets using traditional machine learning techniques. While both roles involve machine learning, the former emphasizes quantum computing applications, whereas the latter centers on data analysis in conventional computing environments.

What are the key skills and qualifications needed to thrive as a Machine Learning Quantum Computing Specialist, and why are they important?

To thrive in Machine Learning Quantum Computing, you need strong foundations in quantum mechanics, linear algebra, and advanced machine learning concepts, typically supported by a degree in physics, computer science, or a related field. Familiarity with quantum programming languages (such as Qiskit or Cirq), cloud-based quantum platforms, and proficiency in Python are usually required, alongside experience with relevant certifications or coursework. Strong problem-solving skills, adaptability, and effective collaboration are vital soft skills in this interdisciplinary field. These competencies are crucial for driving innovation and bridging the gap between quantum computing and practical machine learning applications.

How do professionals in Machine Learning Quantum Computing typically collaborate with interdisciplinary teams?

Professionals in Machine Learning Quantum Computing often work closely with experts in physics, computer science, and engineering. Collaboration usually involves translating quantum concepts for machine learning specialists and vice versa, ensuring that algorithms are both theoretically sound and practically implementable on quantum hardware. Regular meetings, code reviews, and knowledge-sharing sessions are standard, as interdisciplinary insight is crucial for advancing research and developing scalable solutions. Effective communication and a willingness to learn from other domains are essential for success in these teams.

What is Machine Learning Quantum Computing?

Machine Learning Quantum Computing is an interdisciplinary field that combines principles of quantum computing with machine learning techniques. It aims to leverage the computational power of quantum computers to enhance the performance of machine learning algorithms, potentially solving complex problems more efficiently than classical computers. This area includes developing quantum algorithms for tasks such as classification, clustering, and optimization, as well as using machine learning to improve quantum hardware and error correction. Researchers expect that, as quantum hardware matures, this field could revolutionize data analysis, cryptography, and scientific discovery.
What are popular job titles related to Machine Learning Quantum Computing jobs in Colorado? For Machine Learning Quantum Computing jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Machine Learning Quantum Computing jobs in Colorado look for? The top searched job categories for Machine Learning Quantum Computing jobs in Colorado are:
What cities in Colorado are hiring for Machine Learning Quantum Computing jobs? Cities in Colorado with the most Machine Learning Quantum Computing job openings:
Machine Learning Quantum Computing jobs near you
Infographic showing various Machine Learning Quantum Computing job openings in Colorado as of July 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Scientist / Cloud Software Engineer

Data Scientist / Cloud Software Engineer

Cymertek Corporation

Aurora, CO • On-site

Full-time

Posted 17 days ago

Job description

Job Summary:
Cymertek Corporation is seeking a talented Data Scientist / Cloud Software Engineer to join their team and contribute to innovative cloud-based solutions. The role involves designing and building scalable cloud architectures while applying data science techniques to drive insights and decision-making.
Responsibilities:
• Design and implement cloud-based data solutions
• Build scalable data processing workflows
• Develop and maintain machine learning models
• Collaborate with cross-functional teams to deliver insights
• Ensure data security and compliance
• Document and communicate technical solutions
Qualifications:
Required:
• Proficiency in Python or Java
• Experience with cloud platforms like AWS or GCP
• Expertise in big data tools like Spark or Hadoop
• Familiarity with machine learning frameworks such as TensorFlow or PyTorch
• Knowledge of SQL and NoSQL databases
• Ability to optimize and monitor cloud-based pipelines
• Bachelor's Degree in Computer Science, Data Science, Cloud Computing, Software Engineering, Information Technology, Statistics, Applied Mathematics, Artificial Intelligence, Information Systems, Electrical Engineering, Machine Learning, etc.
• TS/SCI Full Poly clearance
• Full U.S. Citizenship
Preferred:
• Familiarity with Infrastructure as Code (IaC) tools
• Knowledge of real-time data processing platforms
• Understanding of advanced statistical methods
• Experience with serverless computing models
• Knowledge of containerization tools like Docker or Kubernetes
• Ability to integrate machine learning models into production systems
Company:
With headquarters in Maryland, Cymertek [/'sī-mer-tek/] Corporation provides superior consulting services for the implementation of high quality information systems. Founded in 2010, the company is headquartered in Laurel, USA, with a team of 11-50 employees. The company is currently Early Stage.

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