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Google Cloud Machine Learning Engineer Jobs in Colorado

Machine Learning Engineer

Aurora, CO · On-site

$120 - $180/hr

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem‑solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming ...

New

Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure) * Strong problem-solving skills and analytical thinking REQUIRED SKILLS * Proficiency in programming ...

Google Cloud Engineer

Colorado Springs, CO · Remote

$55 - $73.50/hr

Dark Wolf is looking for Google Cloud Engineers are responsible for designing, implementing, and managing Google Cloud Platform (GCP) solutions for our customers. The ideal candidate will have a deep ...

Ibotta is seeking a Principal Machine Learning Engineer to join our Core Data & Analytics team and ... Extensive experience working within a cloud-based infrastructure, ideally AWS. * Experience driving ...

You'll keep our AI cloud always-on, observable, and economical, while staying close enough to ... Maintain reliable, multi-provider LLM access across Google, OpenAI, and Anthropic with sensible ...

You'll keep our AI cloud always-on, observable, and economical, while staying close enough to ... Maintain reliable, multi-provider LLM access across Google, OpenAI, and Anthropic with sensible ...

Machine Learning Engineer

Denver, CO · On-site

$120 - $180/hr

Machine Learning Engineer The Mission: You are the engineer who ships the model, not just the one ... Edge and Cloud: Most of our compute lives in the cloud where power is effectively unlimited. We are ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... scale on cloud or HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... scale on cloud or HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... scale on cloud or HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology ...

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Google Cloud Machine Learning Engineer information

See Colorado salary details

$24

$66

$91

How much do google cloud machine learning engineer jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for google cloud machine learning engineer in Colorado is $66.13, according to ZipRecruiter salary data. Most workers in this role earn between $56.35 and $75.34 per hour, depending on experience, location, and employer.

What is a Google Cloud Machine Learning engineer?

Google Cloud Machine Learning Engineers are professionals who design, build, and deploy machine learning models using Google Cloud Platform (GCP) services and tools. They work with large datasets, develop scalable ML solutions, and collaborate with data scientists and software engineers. Their role often includes automating data pipelines, optimizing model performance, and ensuring the reliability and security of ML deployments on the cloud. These engineers have expertise in both machine learning algorithms and cloud infrastructure, making them key contributors to data-driven projects.

What are the key skills and qualifications needed to thrive as a Google Cloud Machine Learning engineer?

To thrive as a Google Cloud Machine Learning Engineer, you need strong programming skills in Python or Java, a deep understanding of machine learning algorithms, and a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP) services such as Vertex AI, BigQuery, TensorFlow, and relevant certifications like the Professional Machine Learning Engineer certification is highly valuable. Excellent problem-solving abilities, collaboration, and clear communication make someone stand out in this position. These skills and qualities are critical for designing, deploying, and optimizing scalable ML solutions that meet business objectives in cloud environments.

What is the difference between Google Cloud Machine Learning Engineer vs Data Scientist?

AspectGoogle Cloud Machine Learning EngineerData Scientist
Required CredentialsGoogle Cloud certifications, programming skills, ML knowledgeStatistics, data analysis, programming, often with advanced degrees
Work EnvironmentCloud platforms, coding, deploying ML modelsData analysis, modeling, reporting, often in research or business settings
Employer & Industry UsageTech companies, cloud service providers, enterprises using Google CloudVarious industries including finance, healthcare, marketing, research

Google Cloud Machine Learning Engineers focus on developing and deploying ML models on Google Cloud, requiring cloud certifications and coding skills. Data Scientists analyze data, build models, and generate insights, often with advanced degrees. While both roles work with data and ML, the Engineer role emphasizes cloud deployment and infrastructure, whereas Data Scientists focus on data analysis and modeling.

What are some typical cross-functional collaborations for a Google Cloud Machine Learning engineer?

As a Google Cloud Machine Learning Engineer, you'll frequently work alongside data scientists, software engineers, and product managers to design, deploy, and maintain machine learning solutions at scale. Collaboration often involves translating business requirements into machine learning pipelines, integrating models into cloud-based applications, and ensuring that solutions are robust, secure, and scalable. Regular communication with DevOps and infrastructure teams is also common to optimize model deployment and monitor performance. This cross-disciplinary teamwork is crucial for delivering impactful, production-ready AI solutions.

What are popular job titles related to Google Cloud Machine Learning Engineer jobs in Colorado?

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

What cities in Colorado are hiring for Google Cloud Machine Learning Engineer jobs?

Cities in Colorado with the most Google Cloud Machine Learning Engineer job openings:

Machine Learning Engineer

Cymertek Corporation

Aurora, CO • On-site

$120 - $180/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New


Job description

Machine Learning EngineerLOCATION

Aurora, CO 80014

CLEARANCE

TS/SCI Full Poly (Please note this position requires full U.S. Citizenship)

KEY SUMMARY

We are seeking a talented and innovative Machine Learning Engineer to join our team and help build intelligent systems that drive impactful business solutions. In this role, you will work with cutting‑edge technologies to design, develop, and deploy machine learning models that solve complex problems and improve decision‑making processes. You will collaborate with data scientists, engineers, and product teams to turn data into actionable insights and create scalable models that deliver real‑world value. If you are passionate about artificial intelligence, data‑driven solutions, and continuously learning in an evolving field, we’d love for you to be part of our team.

SIMILAR CAREER TITLES

Data Scientist, AI Engineer, Deep Learning Engineer, Artificial Intelligence Engineer, Research Scientist, Data Engineer, NLP Engineer, Computer Vision Engineer, AI/ML Researcher, Data Analyst, ect.

DEGREE (Level Desired)

Bachelor's Degree

DEGREE (Focus)

Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Software Engineering, Electrical Engineering, Robotics, Computational Biology, Physics, ect.

ALTERNATE EXPERIENCE

General comment on degrees: Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some contracts give 4-5 years experience credit for a Bachelor's Degree. Some contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit.

POSITION RESPONSIBILITIES
  • Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning)
  • Ability to design, implement, and optimize machine learning models and workflows
  • Experience working with large, complex datasets
  • Knowledge of data preprocessing and feature engineering
  • Familiarity with cloud-based platforms for machine learning (e.g., AWS, Google Cloud, Azure)
  • Strong problem‑solving skills and analytical thinking
REQUIRED SKILLS
  • Proficiency in programming languages (e.g., Python, R, Java)
  • Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
  • Expertise in model evaluation techniques and metrics
  • Strong knowledge of version control tools (e.g., Git)
  • Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau)
  • Understanding of database technologies (e.g., SQL, NoSQL)
DESIRED SKILLS
  • Experience with natural language processing (NLP)
  • Knowledge of deep learning techniques (e.g., CNNs, RNNs)
  • Familiarity with deployment tools (e.g., Docker, Kubernetes)
  • Experience with data augmentation and synthetic data generation
  • Ability to collaborate in cross‑functional teams (e.g., engineers, product managers)
  • Knowledge of edge computing and model optimization for deployment
PLUG IN to CYMERTEK - And design your future...YOUR FOREVER CAREER STARTS HERE

Are you looking for more than just a job? Join a company where employees are treated like family, and your career is built to last. We are a growing small business and a trusted federal contractor offering full scope consulting services in information technology, cybersecurity, and analyst workforce development.

At our company, you come first. We’re committed to creating an environment where you’ll thrive professionally and personally. We provide meaningful, challenging work using cutting‑edge technologies while investing in your growth and success. With direct access to company leadership, a laid‑back and inclusive atmosphere, and exceptional work‑life balance, you’ll feel valued every day.

We also believe in taking care of our family – both yours and ours. Our benefits are phenomenal, family‑friendly, and designed with your well‑being in mind. From employee and family events to career‑long support, we create a community you’ll never want to leave.

Ready to make your next move the best one? Join us and experience the difference.

BENEFITS
  • Excellent Salaries
  • Flexible Work Schedule
  • Cafeteria Style Benefits
  • 10% - 401k Matching (Vested Immediately)
  • Additional 401k Profit Sharing
  • 30 days Paid Leave/Holiday (No Use or Lose!)
  • The day off for your birthday
  • Medical/Dental/Vision - 100% employee coverage.($1200 allowance - or a bonus)
  • HSA/FSA
  • AFLAC
  • Long Term/Short Term Disability - 100% employee coverage. No cost to you.
  • Life Insurance - 100% employee coverage. No cost to you.
  • Additional Discretionary Life Insurance
  • Paid Training
  • No long, wordy reviews with tons of paperwork!!!
  • Referral bonus program with recurring annual payments
EQUAL OPPORTUNITY EMPLOYER STATEMENT

Cymertek is proud to be an Equal Opportunity Employer committed to fostering an inclusive and diverse workplace. We embrace and celebrate differences in our employees, recognizing that a diverse workforce enhances our creativity, innovation, and overall success. At Cymertek, employment decisions are made based on merit, qualifications, and business needs without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by applicable laws. We believe in creating an environment where all individuals are treated with respect and dignity, and where opportunities for professional growth and advancement are accessible to everyone, regardless of background or identity.

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