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Senior Machine Learning Engineer Jobs in Lawrence, KS

ORANGE EV LLC

Sr. Electrical Engineer

Kansas City, KS · On-site

$101K - $132K/yr

Sr. Electrical Engineer Join Orange EV, a fast-growing manufacturer of electric vehicles that are ... Prior experience in electric machine selection and integration for Class 8 trucks or similar heavy ...

Proven

Senior Mechanical Engineer

Olathe, KS · On-site

$98K - $130K/yr

Proven is hiring a Senior Mechanical Engineer on behalf of our client, an industry innovator in ... Machine shop experience to support rapid prototyping, fixture design, and hands-on debugging of ...

Proven

Senior Mechanical Engineer

Olathe, KS · On-site

$101K - $133K/yr

Proven is hiring a Senior Mechanical Engineer on behalf of our client, an industry innovator in ... Machine shop experience to support rapid prototyping, fixture design, and hands-on debugging of ...

Proven

Senior Mechanical Engineer

Olathe, KS

$98K - $130K/yr

Proven is hiring a Senior Mechanical Engineer on behalf of our client, an industry innovator in ... Machine shop experience to support rapid prototyping, fixture design, and hands-on debugging of ...

IntelliSource

Skilled Machine Operator

De Soto, KS · On-site

$28/hr

Facilities learning, collaboration and interactions between employees, shift leads and supervisory ... AA/AS degree in technical writing, engineering, draft, or related field desired NICE-TO-HAVES:

New

Vantage MedTech

Senior Mechanical Engineer

Olathe, KS · On-site

$101K - $133K/yr

Job Title: Mechanical Engineer (Senior) Location: Olathe, KS Department: Hardware, Technical ... Machine shop experience to support rapid prototyping, fixture design, and hands-on debugging of ...

Wood Plc

Software Development Engineer

Topeka, KS · On-site +1

Experience with Machine Learning, Deep Learning, and/or AI * Experience with data processing ... leader in engineering and consultancy across energy and the built environment, helping to unlock ...

Vantage MedTech

Senior Mechanical Engineer

Olathe, KS · On-site

$101K - $133K/yr

Vantage MedTech is seeking a Senior Mechanical Engineer to join our team. This position will be ... Machine shop experience to support rapid prototyping, fixture design, and hands‑on debugging of ...

Clayco

Senior Plumbing Engineer

Lenexa, KS · On-site

$97K - $133K/yr

The Role We Want You For The Senior Plumbing Engineer will be working with in-house Development ... coverage, learning & development programs. Compensation * The salary range for this position ...

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All JobsMachine Learning Engineer JobsSenior Machine Learning Engineer JobsSenior Machine Learning Engineer Jobs in Lawrence, KS

Senior Machine Learning Engineer information

See Lawrence, KS salary details

$56.1K

$119.4K

$173.1K

How much do senior machine learning engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for senior machine learning engineer in Lawrence, KS is $119,351.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $135,300.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for 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 Lawrence, KS?

The most popular types of Machine Learning Engineer jobs in Lawrence, KS are:

What cities near Lawrence, KS are hiring for Senior Machine Learning Engineer jobs?

Cities near Lawrence, KS with the most Senior Machine Learning Engineer job openings:

Senior Machine Learning Engineer jobs near you
Infographic showing various Senior Machine Learning Engineer job openings in Lawrence, KS as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 71% Full Time, 25% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $119,351 per year, or $57.4 per hour.

Generative AI Automation Engineer - Remote Job

Topeka, KS • On-site

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Other

Re-posted 21 days ago

Key responsibilities

  • Develop, fine-tune, and deploy Generative AI models for automation tasks.

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply