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Entry Level Machine Learning Jobs in Denver, CO (NOW HIRING)

PrideStaff

Labor/Carpentry Associate

Denver, CO · On-site

$20/hr

This is an entry-level position designed for someone who wants to build a career in professional ... Learning to read cut lists and blueprints. * Phase 3 (Advancement): * * Hands-on training to ...

TA Pelsue

Welding Technician

Aurora, CO · On-site

Team Collaboration & Learning Work closely with Fabrication Technicians and Welders II/III to learn ... Equipment Troubleshooting & Maintenance Diagnose common machine or material issues (e.g., wire feed ...

Hertz

Tire and Lube Technician

Denver, CO · On-site

$20/hr

Career Growth with hands on learning Educational Background: * High School Diploma or equivalent ... Ability to use shop equipment such as lifts, tire changing equipment, alignment machines, and scan ...

Hertz

Tire and Lube Technician

Denver, CO

$20/hr

Career Growth with hands on learning Educational Background: * High School Diploma or equivalent ... Ability to use shop equipment such as lifts, tire changing equipment, alignment machines, and scan ...

Hertz

Tire and Lube Technician

Denver, CO · On-site

$20/hr

Career Growth with hands on learning Educational Background: * High School Diploma or equivalent ... Ability to use shop equipment such as lifts, tire changing equipment, alignment machines, and scan ...

Hertz

Tire and Lube Technician

Denver, CO · On-site

$20/hr

Career Growth with hands on learning Educational Background: * High School Diploma or equivalent ... Ability to use shop equipment such as lifts, tire changing equipment, alignment machines, and scan ...

Hertz

Tire and Lube Technician

Denver, CO · On-site

$20/hr

Career Growth with hands on learning Educational Background: * High School Diploma or equivalent ... Ability to use shop equipment such as lifts, tire changing equipment, alignment machines, and scan ...

The Hertz Corporation

Tire and Lube Technician

Denver, CO · On-site

$20/hr

Career Growth with hands on learning Educational Background: * High School Diploma or equivalent ... Ability to use shop equipment such as lifts, tire changing equipment, alignment machines, and scan ...

Aerotek

Mechanic

Commerce City, CO · On-site

$24 - $26/hr

HIRING ENTRY LEVEL MECHANICS - COMMERCE CITY, CO This mechanic role is ideal for someone with ... Troubleshoot and repair diesel engines, heavy equipment, industrial machinery, and construction ...

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All JobsMachine Learning JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Denver, CO

Entry Level Machine Learning information

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$12

$17

$22

How much do entry level machine learning jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for entry level machine learning in Denver, CO is $17.98, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $19.57 per hour, depending on experience, location, and employer.

What types of projects can an entry-level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often found in large tech companies or specialized firms. These positions usually require extensive experience, advanced skills in deep learning, data science, and proficiency with tools like TensorFlow or PyTorch, along with leadership responsibilities and sometimes equity or bonuses. Such salaries are rare and generally reflect seniority, expertise, and the strategic importance of AI initiatives within organizations.

What are the key skills and qualifications needed to thrive as an Entry Level Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

Which 3 jobs will survive AI?

Entry level machine learning roles are likely to persist as they require specialized skills in data analysis, programming, and understanding complex algorithms. Jobs that involve creative thinking, emotional intelligence, or physical tasks, such as data scientists, AI specialists, and software engineers, are expected to remain in demand despite AI advancements.

How to get into machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

What Are Entry-Level Machine Learning Jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What engineers make $500,000?

Senior engineers in fields like software, electrical, or aerospace engineering can reach or exceed $500,000 annually, especially with experience, specialized skills, and leadership roles. High-paying positions often require advanced expertise, certifications, and work in competitive industries or companies with lucrative compensation packages.
More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Denver, CO? The most popular types of Machine Learning jobs in Denver, CO are:
What are popular job titles related to Entry Level Machine Learning jobs in Denver, CO? For Entry Level Machine Learning jobs in Denver, CO, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in Denver, CO look for? The top searched job categories for Entry Level Machine Learning jobs in Denver, CO are:
What cities near Denver, CO are hiring for Entry Level Machine Learning jobs? Cities near Denver, CO with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Denver, CO as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $37,390 per year, or $18 per hour.
jr java developer/data analyst

jr java developer/data analyst

SynergisticIT

Denver, CO

$95K - $150K/yr

Other

Posted 15 days ago

Job description

Job Opportunity at SynergisticIT

Since 2010, SynergisticIT has helped more than 10,000 jobseekers get hired at hundreds of tech clients by providing the required tech stack, real-world project experience, and U.S.-based exposure. Some of the clients where SynergisticIT-trained developers have been placed include: Google, Apple, Banking, visa, Microsoft, IBM, Oracle, Cisco, Client, Wells Fargo, Client, PayPal, eBay, Walmart, Telecommunication, and bank. At SynergisticIT, we've spent the last 15+ years helping new CS grads/career gap jobseekers/career transition jobseekers make their tech careers. We bridge the gap between your tech skills and the hands-on, employer-ready abilities tech companies demand. Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data engineers/data scientists, machine learning engineers for full time positions with clients. All visa types and U.S. citizens are encouraged to apply. Ideal candidates:

  • Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience
  • Jobseekers who had layoffs due to downsizing and want to get in demand tech stack
  • Professionals seeking a career switch to tech
  • Candidates with career gaps or lacking real-world experience
  • Individuals looking to boost their skill portfolio for better job prospects
  • Computer Science grads with limited or no job experience
  • Students who recently finished their Bachelor's or Master's programs
  • Those struggling to land interviews despite having experience
  • Candidates on F1/OPT needing a job for STEM extension or H-1B filing

End-to-end job placement support – we connect you with employers actively looking for entry-level talent. Our candidates have recently landed roles at Google, Visa, Client, Walmart, Mcdonald's, Apple, PayPal, Wayfair, Walgreens, Client and many more. Check below:

  • Candidate Success Outcomes
  • Java Placement Program
  • Data Science Program
  • USA Today Coverage
  • Interview Questions & Blogs
  • Preview our culture in action at industry events

Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT Technical Skills or Experience? | Which one is important to get a Job? | SynergisticIT Calculate ROI and see real offer timelines The $100k H1B Filing Fee: Implications on U.S. Tech Employment | SynergisticIT Wage-Based H-1B Filing Backend vs. Full Stack Development: Job Prospects | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT Is AI Going to Replace Software Programmers? | SynergisticIT

Responsibilities
  • Develop and maintain Java applications using Spring Boot
  • Design and implement RESTful Microservices for distributed systems
  • Collaborate with DevOps teams to build and maintain CI/CD pipelines using Jenkins, Docker, and Kubernetes
  • Debug, test, and optimize applications for performance and reliability
  • Work in Agile/Scrum environments to meet client delivery standards
  • Partner with cross-functional teams to ensure timely delivery of client requirements
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)
  • Strong understanding of Core Java, OOP concepts, and Data Structures
  • Familiarity with Spring Boot, REST APIs, and SQL
  • Exposure to DevOps tools (Git, Jenkins, Docker, Kubernetes)
  • Excellent problem-solving and communication skills
Client Requirements

Our U.S.-based clients typically require:

  • Real-world project experience: Hands-on exposure to enterprise-level applications beyond academic coursework.
  • U.S. work experience: Familiarity with U.S. client expectations, delivery standards, and collaborative team environments.
Competitive Edge with SynergisticIT
  • SynergisticIT has built relationships with thousands of tech clients across the U.S., giving candidates a competitive edge over other jobseekers by securing more interviews and better job offers.
  • Candidates completing the program typically receive job offers ranging from $95,000 to $150,000 annually, depending on skills, location, and client requirements.

If you're ready to launch your career as a Developer or data scientist but feel you're missing some skills or experience, SynergisticIT can bridge that gap. With over a decade of proven success, strong client partnerships, and a focus on real-world readiness, SynergisticIT can help you land your first role in tech.

Apply