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Junior Machine Learning Jobs in Kansas (NOW HIRING)

Bosch-HomeComfort

Senior Manufacturing Engineer

Wichita, KS · On-site

$81K - $111K/yr

You will have the opportunity to develop yourself through meaningful work projects and learning ... Mentor and guide Junior level manufacturing engineers * Provide technical input to management on ...

CBRE

Lead Building Engineer

Kansas City, KS · On-site

$98K - $130K/yr

Work with machine operators to detect equipment problems, identify malfunctions, and verify system ... Provide technical and safety training to junior technicians. Support efficiency improvement ...

CBRE

Lead Building Engineer

Kansas City, KS · On-site

$98K - $130K/yr

Work with machine operators to detect equipment problems, identify malfunctions, and verify system ... Provide technical and safety training to junior technicians. Support efficiency improvement ...

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Junior Machine Learning information

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$24

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How much do junior machine learning jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for junior machine learning in Kansas is $24.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $29.57 per hour, depending on experience, location, and employer.

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

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership, strategic planning, and expertise with tools like TensorFlow or PyTorch, and may require multiple years of experience and relevant certifications.

What types of projects and tasks can a Junior Machine Learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning, and expertise in deploying large-scale models can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or within top tech companies. Compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of specialized experience and a strong track record of impactful projects.

Can I get an AI job with no experience?

Entry-level machine learning roles, such as Junior Machine Learning positions, often require some foundational knowledge of programming, mathematics, and data analysis. While prior experience is beneficial, candidates can improve their chances by completing relevant online courses, building projects, and gaining familiarity with tools like Python and TensorFlow.

Which 3 jobs will survive AI?

Junior Machine Learning roles are likely to persist as they require specialized knowledge, critical thinking, and domain expertise that AI cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and machine learning engineers, are also expected to remain in demand. Continuous learning and adapting to new tools will be essential for these roles to stay relevant.

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

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.
What are the most commonly searched types of Machine Learning jobs in Kansas? The most popular types of Machine Learning jobs in Kansas are:
What are popular job titles related to Junior Machine Learning jobs in Kansas? For Junior Machine Learning jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning jobs in Kansas look for? The top searched job categories for Junior Machine Learning jobs in Kansas are:
Junior Machine Learning jobs near you
Infographic showing various Junior Machine Learning job openings in Kansas as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $50,005 per year, or $24 per hour.

Senior Manufacturing Engineer

Bosch-HomeComfort

Wichita, KS • On-site

$81K - $111K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 days ago

Job description

Company Description

Company Overview

"Build your best future with BOSCH-HC." Join a winning team that enables you to build your best future! Our teams are uniquely positioned to support a multitude of industries across the globe. You will have the opportunity to develop yourself through meaningful work projects and learning opportunities. We strive to provide our employees with an experience focused on supporting their physical, financial, and emotional wellbeing.

  • Competitive salary
  • Paid vacation/holidays/sick time
  • Comprehensive benefits package including 401K, medical, dental, and vision care
  • On the job/cross training opportunities
  • Encouraging and collaborative team environment
  • Dedication to safety through our Zero Harm policy
Job Description

The Senior Manufacturing Engineer is responsible for leading and improving manufacturing processes to ensure safe, efficient, high-quality, and cost-effective production. This role provides technical leadership for process development, production support, continuous improvement initiatives, and cross-functional collaboration with design engineering, quality, supply chain, and operations.

Key Responsibilities

Manufacturing Process Leadership

  • Develop, implement, and optimize manufacturing processes, work instructions, and standard operating procedures.
  • Lead process improvements focused on safety, quality, delivery, and cost targets.
  • Support new product introduction (NPI), including process development, tooling, and production readiness.

Technical Expertise & Problem Solving

  • Serve as a technical authority for manufacturing methods, equipment, and materials.
  • Lead root cause analysis and corrective actions for production issues (e.g., scrap, rework, downtime).
  • Apply Lean Manufacturing, Six Sigma, and other continuous improvement methodologies.

Equipment, Tooling, & Automation

  • Specify, design, or validate production equipment, tooling, fixtures, and automation.
  • Lead Capital projects form concept through installation, qualification, and handoff.
  • Ensure equipment capability, reliability, and compliance with safety and regulatory requirements.

Quality & Compliance

  • Partner with Quality Engineering to ensure processes meet quality standards and regulatory requirements.
  • Support audits, PFMEAs, control plans, and process qualification / validation activities.
  • Ensure adherence to company, customer, and industry standards.

Collaboration & Leadership

  • Maintain a strong shop-floor presence to provide hands-on support and rapid response to production initiatives.
  • Work cross-functionally with Design Engineering, Operations, Quality, Supply Chain, and Maintenance.
  • Mentor and guide Junior level manufacturing engineers
  • Provide technical input to management on manufacturing strategy and operational decisions.
  • Maintain professionalism with respectful communication, ethical behavior, and a positive attitude.
Qualifications

Required:

  • Bachelor's degree in manufacturing engineering, mechanical engineering, industrial engineering, or a related field.
  • 5+ years of manufacturing engineering experience in a production environment.
  • Strong Knowledge of manufacturing processes, materials, and production systems.
  • Proven experience leading process improvements and technical projects.
  • Proficiency with engineering drawings, specifications, and process documentation.
  • Strong data analysis and statistical problem-solving skills.

Preferred:

  • Exposure to HVAC manufacturing or regulated industries (e.g., aerospace, automotive, medical, or defense).
  • Experience with automation, robotics, CNC machining, assembly lines, and complex manufacturing systems.
  • Lean Six Sigma, or similar continuous improvement certification.

Key Competencies

  • Leadership and technical mentoring.
  • Structured problem solving.
  • Continuous improvement mindset.
  • Strong communication and collaboration skills.
  • Ability to manage multiple projects in a fast-paced environment.
Additional Information

Work Environment

  • Manufacturing production floor environment.
  • Collaboration with production floor personnel, design, and leadership.
  • Occasional travel may be required.

Equal Opportunity Employer, including disability / veterans 

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. 

Your well-being matters at Bosch! We offer a competitive compensation and a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. We're investing in your success!

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