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Machine Learning Engineer Jobs in Independence, MO

AI Solutions Architect

Kansas City, MO

$61.50 - $81/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

Senior Software Engineer

Olathe, KS

$118K - $156K/yr

Designs, develops, and maintains self-service Machine Learning Ops tooling, platforms, and ... Collaborates with Data Scientists, Software Engineers, and Infrastructure teams to reduce ...

AI and Data Science Engineer II

Kansas City, MO · On-site

$111K - $134K/yr

Translating business goals into machine learning use cases and model design approaches ... Bachelor's degree in engineering, mathematics, physics, machine learning, statistics, computer ...

Machinist Intern, 2nd shift Fike Corporation, a rapidly growing international manufacturer of ... Ability to read and follow instructions, work orders, and engineered drawings. Exposure to hand ...

AI Data Engineer - Manager

Kansas City, MO

$111K - $134K/yr

AI Data Engineer - Manager Our Human Capital practice is at the forefront of transforming the ... Lead the development of AI models (e.g., machine learning, natural language processing, computer ...

AI and Data Science Engineer III

Kansas City, MO · On-site +1

$111K - $134K/yr

Deliver governed datasets and feature engineering and serving patterns for machine learning training and real-time inference, including online and offline consistency, caching, latency targets, and ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

This role builds, tests, and deploys scalable solutions using Generative AI and Machine Learning (ML) foundational models. The AI Engineer is a product-minded, hands-on technical contributor who ...

NGA AI Engineer Manager

Kansas City, MO · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

As a CNC Machine Operator , you'll work with advanced technologies such as AI, Machine Learning ... You'll contribute to state-of-the-art projects that push the boundaries of engineering and ...

CNC Machine Operator

Olathe, KS · On-site

$20 - $28/hr

As a CNC Machine Operator , you'll work with advanced technologies such as AI, Machine Learning ... You'll contribute to state-of-the-art projects that push the boundaries of engineering and ...

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

Bachelor's degree in Computer Science, Machine Learning, Data Science, Computational Linguistics, Linguistics, Statistics, or a related field, or equivalent practical experience. * 4+ years of ...

AI Engineer

Leawood, KS · On-site

$111K - $133K/yr

Bachelor's degree in Computer Science, Machine Learning, Data Science, Computational Linguistics, Linguistics, Statistics, or a related field, or equivalent practical experience. * 4+ years of ...

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Machine Learning Engineer information

See Independence, MO salary details

$28.7K

$117.4K

$176.4K

How much do machine learning engineer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for machine learning engineer in Independence, MO is $117,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $141,300.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Independence, MO? The most popular types of Machine Learning Engineer jobs in Independence, MO are:
What are popular job titles related to Machine Learning Engineer jobs in Independence, MO? For Machine Learning Engineer jobs in Independence, MO, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Independence, MO look for? The top searched job categories for Machine Learning Engineer jobs in Independence, MO are:
What cities near Independence, MO are hiring for Machine Learning Engineer jobs? Cities near Independence, MO with the most Machine Learning Engineer job openings:
Infographic showing various Machine Learning Engineer job openings in Independence, MO as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $117,405 per year, or $56.4 per hour.
AI Solutions Architect

AI Solutions Architect

Deloitte

Kansas City, MO

$61.50 - $81/hr

Other

Posted 18 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

The Human Capital Offering Portfolio focuses on helping organizations manage and sustain their performance through their most important asset: their people. To stay in front, organizations need to have real-time access to Human Capital insights, experts and innovative technology solutions that are designed to not only drive but sustain and extend organizational performance and engagement. Supporting the products and capabilities of the Human Capital Offering Portfolio, our Engineering team is full of passionate, energetic, and multi-talented engineers who are excited about building the world's greatest personalized and business friendly applications.

Recruiting for this role ends on 8/31/2026.

Work you'll do

As an AI Solutions Architect on the Insights, Innovation & Operate team, you will be responsible for...

  • Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements
  • Developing account growth strategies, managing pipelines, supporting proposal development, and driving deal closure activities with client decision-makers
  • Designing scalable technology and data architectures for artificial intelligence, machine learning, and generative artificial intelligence use cases, including secure and high-availability deployment models
  • Collaborating with architects, engineers, data scientists, and business stakeholders to align technical solutions with business requirements and implementation priorities
  • Overseeing execution of AI-powered solutions, including risk identification, ethical AI considerations, continuous improvement, and mentoring junior team members on technical practices

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our Insights, Innovation & Operate Offering is designed to enhance key aspects of our clients' businesses by leveraging cutting-edge technology, data, and a blend of deep technical and human expertise. We innovate and deliver creative, industry-specific solutions that streamline operations and accelerate speed-to-value

Qualifications

Required:

  • Bachelor's degree in Science, Technology, Engineering, or Mathematics, such as Computer Science, Engineering, or Physics, or equivalent experience
  • 8+ years of experience in product sales, software engineering, technology architecture, or data engineering
  • 3+ years of experience leading artificial intelligence and machine learning solution sales, design, and deployment
  • 8+ years of experience leading technical teams, including onshore and offshore teams
  • 2+ years of experience architecting, building, and deploying machine learning, deep learning, or generative artificial intelligence solutions in production environments
  • Experience with at least one cloud platform, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and artificial intelligence and machine learning tools and frameworks
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in a technical field
  • Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $163,400 to $322,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

The Human Capital Offering Portfolio focuses on helping organizations manage and sustain their performance through their most important asset: their people. To stay in front, organizations need to have real-time access to Human Capital insights, experts and innovative technology solutions that are designed to not only drive but sustain and extend organizational performance and engagement. Supporting the products and capabilities of the Human Capital Offering Portfolio, our Engineering team is full of passionate, energetic, and multi-talented engineers who are excited about building the world's greatest personalized and business friendly applications.

Recruiting for this role ends on 8/31/2026.

Work you'll do

As an AI Solutions Architect on the Insights, Innovation & Operate team, you will be responsible for...

  • Leading sales, solution design, and delivery for artificial intelligence, machine learning, automation, and data-driven Human Capital engagements
  • Developing account growth strategies, managing pipelines, supporting proposal development, and driving deal closure activities with client decision-makers
  • Designing scalable technology and data architectures for artificial intelligence, machine learning, and generative artificial intelligence use cases, including secure and high-availability deployment models
  • Collaborating with architects, engineers, data scientists, and business stakeholders to align technical solutions with business requirements and implementation priorities
  • Overseeing execution of AI-powered solutions, including risk identification, ethical AI considerations, continuous improvement, and mentoring junior team members on technical practices

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to mentor and provide clear guidance to others

The team

Our Insights, Innovation & Operate Offering is designed to enhance key aspects of our clients' businesses by leveraging cutting-edge technology, data, and a blend of deep technical and human expertise. We innovate and deliver creative, industry-specific solutions that streamline operations and accelerate speed-to-value

Qualifications

Required:

  • Bachelor's degree in Science, Technology, Engineering, or Mathematics, such as Computer Science, Engineering, or Physics, or equivalent experience
  • 8+ years of experience in product sales, software engineering, technology architecture, or data engineering
  • 3+ years of experience leading artificial intelligence and machine learning solution sales, design, and deployment
  • 8+ years of experience leading technical teams, including onshore and offshore teams
  • 2+ years of experience architecting, building, and deploying machine learning, deep learning, or generative artificial intelligence solutions in production environments
  • Experience with at least one cloud platform, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform, and artificial intelligence and machine learning tools and frameworks
  • Ability to travel 25-50%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Master's degree in a technical field
  • Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Microsoft Azure Data Scientist Associate, or Microsoft Azure Solutions Architect Expert

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $163,400 to $322,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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