ZipRecruiter

Log In

1

Artificial Intelligence Machine Learning Engineer Jobs in Missouri

Jobgether

Strong expertise in artificial intelligence, machine learning theory, algorithms, system design, and practical implementation. * Advanced programming skills in Python and C++, with hands-on ...

Jobgether

Our partner is looking for a Machine Learning Engineer - Large Language Models based in Netherlands ... artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing ...

Jobgether

Our partner is looking for a Machine Learning Engineer - Distillation based in Netherlands. This ... artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing ...

Jobgether

$88K - $106K/yr

Our partner is looking for a Machine Learning Engineer - Inference Optimization based in ... artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing ...

Bespoke Labs

Machine Learning Engineer

Columbia, MO · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Saint Louis, MO · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Columbia, MO

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Springfield, MO · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Bespoke Labs

Machine Learning Engineer

Kansas City, MO · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

previous pagenext page

Showing results 21-40

All JobsArtificial Intelligence Machine Learning Engineer JobsArtificial Intelligence Machine Learning Engineer Jobs in Missouri

Artificial Intelligence Machine Learning Engineer information

See Missouri salary details

$29.5K

$120.8K

$181.5K

How much do artificial intelligence machine learning engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for artificial intelligence machine learning engineer in Missouri is $120,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,200.00 and $145,400.00 per year, depending on experience, location, and employer.

What is an artificial intelligence machine learning engineer?

An Artificial Intelligence (AI) Machine Learning Engineer is a professional who designs, builds, and implements machine learning models and AI systems. They work with large datasets, develop algorithms, and use programming languages like Python or R to enable computers to learn from data and make predictions or decisions. Their work is essential in fields such as natural language processing, computer vision, and robotics. These engineers collaborate with data scientists, software developers, and business stakeholders to deploy AI solutions in real-world applications.

What are some common challenges faced by artificial intelligence machine learning engineers when deploying models to production?

One of the main challenges AI/ML engineers encounter is ensuring that models trained in a controlled environment perform reliably in real-world production settings. This often involves handling issues like data drift, scaling models to handle large volumes of requests, and integrating with existing infrastructure. Collaboration with data engineers and software developers is crucial to streamline deployment, monitor model performance, and address any unexpected behavior quickly. Keeping up with evolving tools and best practices is also important for long-term model maintenance and success.

What is the difference between Artificial Intelligence Machine Learning Engineer vs Data Scientist?

AspectArtificial Intelligence Machine Learning EngineerData Scientist
Required CredentialsBachelor's or higher in CS, AI, ML, or related; certifications like TensorFlow, AWSBachelor's or higher in CS, Statistics, or related; certifications in data analysis or visualization
Work EnvironmentDevelops AI/ML models, coding, deploying algorithms in software environmentsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, consulting firms

While both roles involve working with data and algorithms, Artificial Intelligence Machine Learning Engineers focus on designing, building, and deploying AI/ML models in software systems. Data Scientists primarily analyze data to extract insights and support decision-making. The roles often overlap but differ in their core focus and daily tasks.

What are the key skills and qualifications needed to thrive as an artificial intelligence machine learning engineer, and why are they important?

To thrive as an Artificial Intelligence Machine Learning Engineer, you need strong programming skills (typically in Python or R), a background in mathematics or statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), cloud platforms, and relevant certifications are highly valuable. Problem-solving ability, creativity, and effective communication are important soft skills that distinguish top performers in this role. These competencies are crucial for designing robust AI solutions, collaborating with cross-functional teams, and driving innovation in rapidly evolving technological environments.
What are popular job titles related to Artificial Intelligence Machine Learning Engineer jobs in Missouri? For Artificial Intelligence Machine Learning Engineer jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Artificial Intelligence Machine Learning Engineer jobs in Missouri look for? The top searched job categories for Artificial Intelligence Machine Learning Engineer jobs in Missouri are:
What cities in Missouri are hiring for Artificial Intelligence Machine Learning Engineer jobs? Cities in Missouri with the most Artificial Intelligence Machine Learning Engineer job openings:
Artificial Intelligence Machine Learning Engineer jobs near you
Infographic showing various Artificial Intelligence Machine Learning Engineer job openings in Missouri as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $120,786 per year, or $58.1 per hour.

AI Director - Machine Learning

Jobgether

On-site, Remote

Full-time

Medical, Dental, PTO

Posted 11 days ago

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Director - Machine Learning based in Netherlands.

This role offers the opportunity to lead advanced AI and machine learning initiatives within a highly innovative engineering environment. You will shape the strategy, development, and implementation of AI-driven solutions designed to transform creative workflows and unlock new possibilities. Working at the intersection of research, engineering, and product innovation, you will guide teams in exploring emerging AI technologies and turning ideas into impactful solutions. The position requires a visionary technical leader who can combine deep machine learning expertise with strong communication and collaboration skills. You will play a key role in defining AI capabilities, establishing best practices, and driving experimentation in a fast-moving, remote-first environment.

Accountabilities
  • Lead the research, development, prototyping, and implementation of machine learning solutions to support innovative product experiences.
  • Oversee AI and ML initiatives, including intelligent systems development, workflow optimization, and experimental prototypes.
  • Identify opportunities to integrate generative AI technologies across production processes and translate concepts into actionable strategies.
  • Collaborate with cross-functional teams to gather AI-related needs, prioritize opportunities, and deliver impactful solutions.
  • Explore and develop AI models trained on internal data, including experimentation with local and specialized machine learning systems.
  • Establish guidelines, frameworks, and best practices for agentic AI systems and emerging AI technologies.
  • Educate technical and non-technical stakeholders on AI capabilities, limitations, and practical applications.
  • Monitor advancements in AI research, models, tools, and industry trends to ensure continued innovation and technical excellence.
  • Provide technical leadership, mentorship, and strategic direction to engineering teams working on AI-driven projects.
Requirements
  • Previous experience in an AI/ML leadership role such as AI Director, AI Lead, Machine Learning Manager, or an equivalent position.
  • Strong expertise in artificial intelligence, machine learning theory, algorithms, system design, and practical implementation.
  • Advanced programming skills in Python and C++, with hands-on experience using machine learning frameworks such as PyTorch and TensorFlow.
  • Deep understanding of modern AI models, their capabilities, limitations, and appropriate use cases.
  • Ability to design and evaluate machine learning solutions while balancing research exploration with practical execution.
  • Excellent communication skills, with the ability to explain complex AI concepts clearly to both technical and non-technical audiences.
  • Collaborative and mentoring-oriented mindset with a passion for innovation, problem-solving, and knowledge sharing.
  • Experience in game development or interactive entertainment environments is a plus but not required.
  • Ability to stay current with rapidly evolving AI technologies and apply emerging approaches effectively.
Benefits
  • Fully remote working environment with flexibility to work from different regions worldwide.
  • Competitive compensation package with additional benefits depending on location.
  • Generous paid time off allowance.
  • Company-wide summer and winter holiday closures separate from standard PTO.
  • Private medical and dental healthcare coverage.
  • Private mental health support program.
  • Annual health and wellbeing allowance.
  • Discretionary studio bonus opportunities.
  • High-quality technology equipment provided for home office setup.
  • Additional regional benefits based on location.
  • Opportunity to work on ambitious AI-driven projects within a collaborative and innovative engineering culture.
  • Strong focus on autonomy, continuous improvement, and meaningful impact rather than hours worked.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
 Why Apply Through Jobgether? 
 
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
 
 
#LI-CL1
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
apply for this job

Apply