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Machine Learning Engineer Jobs in Lenexa, KS (NOW HIRING)

Deloitte

AI Solutions Architect

Kansas City, MO · On-site

$61.50 - $81/hr

... machine learning, and generative artificial intelligence use cases, including secure and high-availability deployment models • Collaborating with architects, engineers, data scientists, and ...

Deloitte

AI Solutions Architect

Kansas City, MO · On-site

$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 ...

Deloitte

Senior AI Engineer - SFL Scientific

Kansas City, MO · On-site

$102K - $140K/yr

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 ...

Garmin

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 ...

Deloitte

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 ...

Fike

Machinist Intern

Blue Springs, MO · On-site

$20/hr

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 ...

Deloitte

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 ...

Deloitte

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 ...

Pwc

CTIO AI Engineering Manager

Kansas City, MO

$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 ...

Ascend Learning

AI Engineer

Leawood, KS · On-site

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 ...

Pwc

NGA AI Engineer Manager

Kansas City, MO

$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 ...

Pwc

CTIO-AI Engineer-Sr Associate

Kansas City, MO · On-site

$55K - $187K/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 ...

Pwc

NGA AI Engineer Senior Manager

Kansas City, MO

$91K - $321K/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 ...

Motive Companies

CNC Machine Operator

Olathe, KS

$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 ...

Motive Companies

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 ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Lenexa, KS

Machine Learning Engineer information

See Lenexa, KS salary details

$29.6K

$120.9K

$181.6K

How much do machine learning engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for machine learning engineer in Lenexa, KS is $120,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,300.00 and $145,500.00 per year, depending on experience, location, and employer.

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.

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 jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.
More about Machine Learning Engineer jobs
What cities near Lenexa, KS are hiring for Machine Learning Engineer jobs? Cities near Lenexa, KS with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Lenexa, KS as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $120,877 per year, or $58.1 per hour.
AI Solutions Architect

AI Solutions Architect

Deloitte

Kansas City, MO • On-site

$61.50 - $81/hr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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

Job Summary:
Deloitte is focused on helping organizations manage and sustain their performance through their most important asset: their people. As an AI Solutions Architect on the Insights, Innovation & Operate team, you will lead sales, solution design, and delivery for artificial intelligence and machine learning engagements while collaborating with various stakeholders to align technical solutions with business needs.
Responsibilities:
• 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
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
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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