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Junior Ai Machine Learning Python Jobs in Colorado

Ibotta

Staff Machine Learning Engineer

Denver, CO · On-site +1

$206K - $230K/yr

... as Python, Spark, Databricks, AWS, Sagemaker, etc. As a Staff Machine Learning Engineer, you will ... Track record of mentoring junior engineers or leading cross-functional initiatives. About Ibotta ...

SynergisticIT

Junior Software Engineer

Denver, CO

... Data Analyst/AI/Machine learning Positions Preferred SKILLS Associate or Bachelors degree or ... Python, Computer Vision, data visualization tools Candidates lacking technical skills or relevant ...

True Anomaly

Senior Machine Learning Engineer

Denver, CO · On-site

$180K - $360K/yr

... of AI/ML capabilities QUALIFICATIONS * Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline * Proficient in Python * Solid ...

Lockheed Martin

$89K - $157K/yr

The Space AI Talent Center is seeking a highly skilled AI/ML Machine Learning Engineer to join a ... Python, Java, C++, C#, or MATLAB • Experience with TensorFlow, PyTorch, Keras, or Scikit-learn ...

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Junior Ai Machine Learning Python information

What are the key skills and qualifications needed to thrive as a Junior AI Machine Learning Python Engineer, and why are they important?

To thrive as a Junior AI Machine Learning Python Engineer, you need a solid understanding of Python programming, statistics, and foundational machine learning concepts, often supported by a degree in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, Scikit-learn, Jupyter Notebooks, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork skills help individuals excel in collaborative and fast-evolving technical environments. These competencies are crucial for developing robust AI solutions, learning from senior colleagues, and adapting to the rapidly changing landscape of machine learning.

What does a Junior AI Machine Learning Python engineer do?

A Junior AI Machine Learning Python engineer assists in developing, testing, and maintaining machine learning models using Python. They typically work with data preparation, preprocessing, and applying basic algorithms to solve real-world problems. Under the guidance of senior engineers, they help implement solutions, evaluate model performance, and may contribute to the deployment of models into production environments. Their role often includes learning best practices in coding, software development, and collaborating with data scientists and engineers.

What are some typical projects or tasks a Junior AI/Machine Learning Python developer might work on in their first year?

As a Junior AI/Machine Learning Python developer, you can expect to work on tasks such as cleaning and preparing datasets, developing and testing simple machine learning models, and assisting in the implementation of algorithms under the supervision of senior team members. You may also help automate data pipelines, write scripts for data extraction, and contribute to model evaluation and reporting. Collaboration with data scientists, software engineers, and product managers is common, providing valuable learning opportunities and exposure to the full machine learning workflow.

What is the difference between Junior Ai Machine Learning Python vs Data Analyst?

AspectJunior Ai Machine Learning PythonData Analyst
Required SkillsPython, Machine Learning, AI concepts, data preprocessingExcel, SQL, data visualization, basic statistical analysis
CertificationsPython certifications, AI/ML coursesData analysis or visualization certifications
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Industry UsageDeveloping AI models, machine learning pipelinesInterpreting data, generating reports, supporting decision-making

Junior Ai Machine Learning Python roles focus on developing AI models using Python and machine learning techniques, often in tech-driven environments. Data Analysts primarily interpret data, create visualizations, and support business decisions. While both roles require analytical skills, AI/ML roles demand programming and AI-specific knowledge, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Junior Ai Machine Learning Python jobs in Colorado? For Junior Ai Machine Learning Python jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Junior Ai Machine Learning Python jobs in Colorado look for? The top searched job categories for Junior Ai Machine Learning Python jobs in Colorado are:
What cities in Colorado are hiring for Junior Ai Machine Learning Python jobs? Cities in Colorado with the most Junior Ai Machine Learning Python job openings:
Junior Ai Machine Learning Python jobs near you
Infographic showing various Junior Ai Machine Learning Python job openings in Colorado as of June 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 74% In-person, 13% Hybrid, and 13% Remote job distribution.
Machine Learning Engineer - Health AIML

Machine Learning Engineer - Health AIML

Apple

Boulder, CO • On-site

Full-time

Posted 27 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.
In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning models and systems. You will solve ambitious problems involving unique data and high-impact products, including state-of-the-art generative AI technologies. The successful candidate should possess excellent interpersonal skills and the ability to work cross-functionally to rapidly apply engineering best practices and novel research techniques at the intersection of Health, ML, and consumer products.
10+ years of overall software development experience.Experience leading a team and/or a proven track record of cross-functional collaboration to deliver customer-facing features with machine learning capabilities in production.BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, or related fields (or equivalent qualification).
Ph.D. in Computer Science, Machine Learning, or a related field.Strong background in generative models, natural language processing (NLP), and large language models (LLMs).5+ years of hands-on experience in state-of-the-art machine learning and deep learning applied to large-scale datasets and/or production applications.Proficiency developing and working with large-scale models using modern machine learning packages (e.g., TensorFlow, PyTorch, Jax, Huggingface).Proficiency in building and troubleshooting modern agentic systems (prompt tuning, routing, planning, multi-agent, RAG, tool use, memory management, etc.).Experience with healthcare data, products, and workflows.Ability to thrive in a fast-paced environment, deal with uncertainty, and adapt to new and changing requirements.Proven track record of contributing to diverse teams in a collaborative environment.A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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