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Ml Platform Engineer Jobs in Kansas (NOW HIRING)

The Bronx

AI/ML Platform Architect

Lawrence, KS · On-site

$180 - $220/hr

Work closely with Product, Engineering, Customer Success, partners, and customers to help shape the ... platform RESPONSIBILITIES * Own the AI/ML architecture and roadmap, translating business and ...

Guida's Dairy

Sr. Systems Engineer - AI

Kansas City, KS · On-site

$100K - $137K/yr

... platforms and services that support critical business applications. This role ensures that AI/ML ... The engineer partners closely with application teams, platform engineering, and IT operations to ...

Dairiconcepts, L.P.

Sr. Systems Engineer - AI

Kansas City, KS · On-site

$100K - $137K/yr

... platforms and services that support critical business applications. This role ensures that AI/ML ... The engineer partners closely with application teams, platform engineering, and IT operations to ...

Torch.AI

AI/ML Engineer II

Leawood, KS · On-site

$120 - $160/hr

Participate in architecture discussions and propose solutions aligned to platform constraints and ... Engineering, or related technical field. * 3-6 years of experience building applied ML systems or ...

CrowdStrike

... Platform Engineering, with at least 3 years focused on architecting and building platforms for AI/ML or Data Science at massive scale. * Demonstrable hands-on experience in LLM engineering (fine ...

Overstory

Role & Team As a Staff Machine Learning Engineer at Overstory, you will lead the development and ... Familiarity with GCP and Vertex AI, or similar cloud-based ML platforms * Strong communication ...

Koch Industries

Senior Cloud Engineer

Wichita, KS · On-site

$49.75 - $66.75/hr

The ideal candidate combines deep cloud engineering expertise with familiarity in modern platform ... Exposure to FinOps, disaster recovery planning, cloud security tooling, policy-as-code, or AI/ML ...

Conflux Systems

Lead AI Engineer

Kansas City, KS · On-site

$98K - $130K/yr

ML, Python, Java, Kafka) Location: Leawood, KS Description * Led App Development teams and are ... Partner with Technical Product Owners, Technical Program Managers, and Platform Engineering to ...

Global Partners

Senior Director, Data Engineering

Newton, KS · On-site

$93K - $126K/yr

Partner with the DSML team to provide the data and platform foundations for AI/ML products ... Establish the engineering guardrails for safe, reliable use of LLMs and agents in production data ...

Naic

Cloud Security Engineer

Kansas City, KS · Remote

$107K - $142K/yr

This role partners closely with Cloud Engineering, DevOps, Compliance, and Risk teams to ensure ... Experience evaluating or securing AI/ML platforms or SaaS tools. * Experience with CSPM, container ...

Dairiconcepts, L.P.

Sr. Data Engineer - AI

Kansas City, KS

$110K - $132K/yr

... ML systems * Proficiency with data engineering languages, platforms, and orchestration tools such as Python, SQL, PySpark, Snowflake, Databricks, and Apache Airflow * Experience developing or ...

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All JobsMl Platform Engineer JobsMl Platform Engineer Jobs in Kansas

Ml Platform Engineer information

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$29

$57

$84

How much do ml platform engineer jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for ml platform engineer in Kansas is $57.04, according to ZipRecruiter salary data. Most workers in this role earn between $45.00 and $65.82 per hour, depending on experience, location, and employer.

What is an ML Platform Engineer?

ML Platform Engineers are specialized software engineers who design, build, and maintain the infrastructure and tools needed to support the development, deployment, and scaling of machine learning models. They bridge the gap between data science and production engineering by automating model training, monitoring, versioning, and serving. Their work enables data scientists to focus on modeling while ensuring that ML solutions are reliable, reproducible, and scalable in real-world environments.

What skills and qualifications are needed to thrive as an ML Platform Engineer?

To thrive as an ML Platform Engineer, you need a strong background in computer science, software engineering, and machine learning concepts, often supported by a degree in a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), containerization (Docker, Kubernetes), CI/CD pipelines, and knowledge of ML frameworks (TensorFlow, PyTorch) are commonly required. Collaboration, problem-solving, and strong communication skills help you work efficiently with data scientists, engineers, and stakeholders. These skills ensure the development, scalability, and reliability of robust ML infrastructure that empowers teams to deploy and manage models effectively.

How does an ML Platform Engineer typically collaborate with data scientists and software engineers within a company?

ML Platform Engineers work closely with both data scientists and software engineers to streamline the process of developing, deploying, and maintaining machine learning models. They provide the infrastructure and tools necessary for data scientists to build and experiment with models efficiently, while ensuring seamless integration with production systems managed by software engineers. Regular communication, participation in cross-functional meetings, and shared project management tools are common ways teams collaborate. This close collaboration helps to bridge the gap between research and production, ensuring robust, scalable, and reliable ML solutions.

What is the difference between Ml Platform Engineer vs Data Scientist?

AspectML Platform EngineerData Scientist
Required credentialsBachelor's/Master's in CS, Engineering, or related; experience with cloud platformsBachelor's/Master's in Statistics, Math, or CS; strong programming skills
Work environmentBuilds and maintains ML infrastructure, collaborates with engineering teamsAnalyzes data, develops models, and interprets results
Industry usageTech companies, AI startups, enterprises deploying ML systemsResearch institutions, tech firms, data-driven organizations

ML Platform Engineers focus on developing and maintaining the infrastructure that supports machine learning models, while Data Scientists primarily analyze data and build models. Both roles often collaborate but serve different functions within the AI and data ecosystem.

What are popular job titles related to Ml Platform Engineer jobs in Kansas?

For Ml Platform Engineer jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Ml Platform Engineer jobs in Kansas look for?

The top searched job categories for Ml Platform Engineer jobs in Kansas are:

What cities in Kansas are hiring for Ml Platform Engineer jobs?

Cities in Kansas with the most Ml Platform Engineer job openings:

Ml Platform Engineer jobs near you
Infographic showing various Ml Platform Engineer job openings in Kansas as of August 2026, with employment types broken down into 58% Full Time, 39% Part Time, 1% Temporary, and 2% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $118,639 per year, or $57 per hour.

AI/ML Platform Architect

The Bronx

Lawrence, KS • On-site

$180 - $220/hr

Other

Medical, PTO

Posted 12 days ago

Job description

Scion Technology has been engaged to conduct a search for an experienced AI/ML Platform Architect for our client, a rapidly growing cybersecurity company building AI-driven solutions for enterprise security! This is a full-time, direct hire position offering a 100% remote schedule (EST or CST preferred).

POSITION OVERVIEW

Define the AI roadmap, make key architectural decisions, and write production code alongside the engineering team. Develop a custom AI engine designed to unify fragmented security signals into actionable enterprise insights. Work closely with Product, Engineering, Customer Success, partners, and customers to help shape the future of the AI-driven platform.

PERKS
  • Competitive annual salary up to $200k + bonus & equity
  • 100% employer-paid healthcare
  • Unlimited PTO
  • Fully remote work environment
  • Opportunity to join a recently funded, early-stage cybersecurity company
  • High visibility and ownership over the company’s AI strategy and platform
RESPONSIBILITIES
  • Own the AI/ML architecture and roadmap, translating business and customer needs into scalable, production-ready AI capabilities.
  • Design, build, and optimize custom AI/ML solutions, including large-scale data pipelines, real-time processing, and ML workflows.
  • Stay hands-on in the code, contributing directly to production engineering while making key architectural and technical decisions.
  • Drive rapid iteration and experimentation while ensuring AI systems meet security, compliance, governance, and data protection standards.
  • Collaborate with Product, Engineering, customers, and partners to shape AI capabilities and ecosystem integrations.
  • Provide technical leadership and mentorship to engineers and data scientists while contributing to long-term AI and product strategy.
QUALIFICATIONS
  • 7+ years of software architecture experience with a strong focus on AI/ML, distributed systems, and production software.
  • Proven experience building and shipping custom AI-powered products from the ground up, including hands-on experience with AI models.
  • Strong data engineering experience across large-scale data pipelines, ETL, streaming, and ML workflows.
  • Production experience with Python, Java, and AWS; familiarity with cybersecurity, cloud, identity, or security posture management is strongly preferred.
  • Startup or early-stage experience with a demonstrated ability to take a vision from strategy through execution in an ambiguous, resource-constrained environment.
  • Strong communicator and collaborative team player with the ability to bridge technical concepts with business and customer outcomes.
  • Hands-on builder mentality with a track record of taking ownership, making smart technical tradeoffs, and delivering results.
COMPENSATION & BENEFITS

This full-time position offers an annual base salary up to $200k, commensurate with experience, plus bonus & equity. The organization also provides 100% employer-paid healthcare and unlimited PTO.

Scion Staffing, Inc. is an equal opportunity employer and service provider and does not discriminate based on race, religion, gender, gender identity, national origin, citizenship status, sexual orientation, disability, political affiliation or belief, or any other protected class.

We are committed to the principles of Equal Opportunity Employment and are dedicated to making employment decisions based on merit and value, for ourselves, our client companies, and the candidates we represent.

For opportunities located in a region that have enacted fair chance, arrest or conviction-based employment ordinances, Scion Staffing proactively follows the enacted guidance and considers for employment all qualified applications with arrest and conviction records.

We engage in socially conscious business practices and believe that diverse, inclusive, and non-biased talent and recruitment processes are foundational to the success of Scion as well as every client organization with whom we partner.

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