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Machine Learning Manager Jobs in Colorado (NOW HIRING)

... and executing machine learning solutions, while simultaneously mentoring and growing a high ... Excellent stakeholder management is paramount. You will work as a key collaborative partner ...

New

... machine learning, deep learning, and NLP, with experience working on text data such as call ... manager or program manager background • Preferred experience in use cases such as auto ...

Senior ML Ops Engineer

Denver, CO · On-site

$123K - $170K/yr

... end-to-end machine learning lifecycle, including model training, deployment, monitoring, and ... management. · Build and support containerized ML workloads and deployment workflows using ...

A.I. Engineer

Denver, CO · On-site

$70/hr

AI Engineer (Machine Learning / LLMs / Agentic AI) Location: Merrifield, VA (Hybrid or Remote for ... Knowledge of responsible AI governance and AI risk management. * Experience reviewing AI ...

Showing results 41-60

Machine Learning Manager information

See Colorado salary details

$53.6K

$85.9K

$124.1K

How much do machine learning manager jobs pay per year?

As of Jul 25, 2026, the average yearly pay for machine learning manager in Colorado is $85,918.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $97,300.00 per year, depending on experience, location, and employer.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data processing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and overseeing complex AI solutions, making complete replacement unlikely in the near term.

What are some of the main challenges a Machine Learning Manager faces when leading a team?

A Machine Learning Manager often navigates challenges such as balancing project deadlines with the need for thorough experimentation and research, ensuring clear communication between technical and non-technical stakeholders, and fostering collaboration among data scientists, engineers, and product teams. Additionally, managers must keep their team's skills current with rapidly evolving technologies while also addressing issues like data quality and model deployment in production environments. Successfully overcoming these challenges requires strong leadership, adaptability, and a deep understanding of both business objectives and technical intricacies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning manager or director, often involving leadership, advanced technical skills, and strategic responsibilities. These roles usually require extensive experience, expertise in AI tools and frameworks, and may include performance-based bonuses or stock options that contribute to the total compensation. Such salaries are common in large tech companies or organizations with significant AI investments.

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

To thrive as a Machine Learning Manager, you need a robust background in machine learning algorithms, statistical analysis, and software engineering, typically supported by an advanced degree in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and project management platforms, along with experience in deploying ML systems, is essential. Strong leadership, communication, and strategic thinking skills set exceptional managers apart, enabling them to guide teams and align projects with business objectives. These skills are crucial to successfully leading technical teams, ensuring project delivery, and translating complex ML solutions into organizational value.

Is ML a high paying job?

Machine Learning Managers typically earn high salaries due to the specialized skills required, such as expertise in algorithms, programming, and data analysis. Compensation varies based on experience, location, and industry, but it is generally above average compared to many other tech roles.

Which 3 jobs will survive AI?

Machine Learning Managers will continue to be essential as they oversee AI projects, interpret complex data, and coordinate teams, tasks that require strategic thinking and human judgment. Roles that involve creative problem-solving, emotional intelligence, and domain-specific expertise, such as healthcare professionals, educators, and skilled tradespeople, are also likely to persist despite AI advancements. These jobs rely on human intuition and adaptability that AI cannot fully replicate.

What are Machine Learning Managers?

Machine Learning Managers are professionals responsible for leading teams that develop, implement, and maintain machine learning models and systems. They oversee data scientists, engineers, and other specialists, ensuring projects align with business goals and are delivered on time. Their role often involves coordinating cross-functional teams, managing project timelines, and staying current with the latest advancements in artificial intelligence and machine learning. Additionally, they may be involved in hiring, mentoring, and providing technical guidance to their team.
What are the most commonly searched types of Machine Learning jobs in Colorado? The most popular types of Machine Learning jobs in Colorado are:
What are popular job titles related to Machine Learning Manager jobs in Colorado? For Machine Learning Manager jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Machine Learning Manager jobs? Cities in Colorado with the most Machine Learning Manager job openings:
Infographic showing various Machine Learning Manager job openings in Colorado as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $85,918 per year, or $41.3 per hour.
Manager AI Engineering

Manager AI Engineering

Nava Software Solutions

Greenwood Village, CO • On-site

Other

Posted 26 days ago


Job description

NAVA Software solutions is looking for a Manager AI Engineering

Details:

Manager - AI Engineering

Denver CO - Onsite

Duration: 12 months

  • Hands-on AI/ML leader with strong experience in AI Engineering, Machine Learning, Data Science, or applied NLP No Less than 4 years in ML/NLP
  • Deep expertise in machine learning, deep learning, and NLP, with experience working on text data such as call transcripts, customer interactions, or reviews No Less than 4 years in ML/NLP
  • Proven track record of building and deploying production AI solutions, ideally in real-time or agent-assist environments
  • Experience leading or mentoring AI teams while remaining technically close to the work
  • Strong fit should be AI/ML-first; not primarily a software engineering manager or program manager background
  • Preferred experience in use cases such as auto summarization, sentiment analysis, next best offer/action, or agentic
  • Someone who has been delivering AI/ML models into production (no research but real industry experience)
  • Strong ability to mentor, builds teams, and drive technical vision
  • Great communication skills

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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