2

Entry Level Machine Learning Engineer Jobs in Missouri

We are seeking an AI Developer to design, develop, and implement intelligent solutions that improve ... Design, develop, and deploy AI and machine learning solutions that address business challenges and ...

Associate Engineering Data Scientist

Hazelwood, MO · On-site

$55K - $56K/yr

Implement and deploy machine learning models, working closely with software engineering teams to integrate into customer environments. * Collaborate with subject matter experts to understand ...

Associate Engineering Data Scientist

Hazelwood, MO · On-site

$55K - $56K/yr

Implement and deploy machine learning models, working closely with software engineering teams to integrate into customer environments. * Collaborate with subject matter experts to understand ...

... and machine learning * Write clean, collaborative, and version-controlled code to process big data and streaming data from a variety of sources and types * Perform feature engineering, model ...

AI Engineer II

Saint Louis, MO · On-site

$91K - $125K/yr

Minimum 3 years of experience in software engineering, AI engineering, machine learning, data engineering, or a related technical discipline. * Bachelor's degree in Computer Science, Engineering ...

AI Engineer II

Saint Louis, MO

$91K - $125K/yr

Minimum 3 years of experience in software engineering, AI engineering, machine learning, data engineering, or a related technical discipline. * Bachelor's degree in Computer Science, Engineering ...

AI Engineer II

Saint Louis, MO · On-site

$92K - $126K/yr

Minimum 3 years of experience in software engineering, AI engineering, machine learning, data engineering, or a related technical discipline. * Bachelor's degree in Computer Science, Engineering ...

Showing results 41-60

Entry Level Machine Learning Engineer information

See Missouri salary details

$28.1K

$65.1K

$110.7K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for entry level machine learning engineer in Missouri is $65,062.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,300.00 and $73,600.00 per year, depending on experience, location, and employer.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are the most commonly searched types of Machine Learning Engineer jobs in Missouri?

The most popular types of Machine Learning Engineer jobs in Missouri are:

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Missouri?

For Entry Level Machine Learning Engineer jobs in Missouri, the most frequently searched job titles are:

What cities in Missouri are hiring for Entry Level Machine Learning Engineer jobs?

Cities in Missouri with the most Entry Level Machine Learning Engineer job openings:

Infographic showing various Entry Level Machine Learning Engineer job openings in Missouri as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $65,062 per year, or $31.3 per hour.

AI Engineer

duvari group

Chesterfield, MO

Full-time

Re-posted 20 days ago


Job description

We are seeking an AI Developer to design, develop, and implement intelligent solutions that improve business processes, enhance decision-making, and drive operational efficiency. This individual will collaborate with technical and business stakeholders to identify opportunities for leveraging artificial intelligence and machine learning technologies across a variety of applications.

Key Responsibilities

  • Design, develop, and deploy AI and machine learning solutions that address business challenges and improve performance.
  • Build and maintain data pipelines and supporting infrastructure required for AI initiatives.
  • Integrate AI capabilities into existing applications, platforms, and workflows.
  • Partner with cross-functional teams to identify, evaluate, and prioritize AI use cases.
  • Monitor, optimize, and maintain model performance, scalability, and reliability.
  • Research emerging technologies and recommend innovative approaches to solving business problems.
  • Document technical solutions, processes, and implementation best practices.
  • Support ongoing enhancement and maintenance of deployed AI solutions.

Required Qualifications

  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field; equivalent experience may be considered.
  • 2+ years of experience developing machine learning or AI-based solutions.
  • Proficiency in Python and experience working with modern AI/ML frameworks and libraries.
  • Experience with data processing, data analysis, and working with structured and unstructured datasets.
  • Understanding of APIs, system integrations, and software development best practices.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Ability to communicate technical concepts effectively to both technical and non-technical audiences.

Preferred Qualifications

  • Experience working with predictive analytics, recommendation engines, natural language processing, or generative AI solutions.
  • Familiarity with cloud-based environments and modern data platforms.
  • Understanding of model deployment, monitoring, and lifecycle management practices.
  • Experience collaborating within agile software development environments.