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Ml Platform Engineer Jobs in Kansas (NOW HIRING)

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 ...

RadNet, Inc.

Sr. Systems Engineer - AI

Kansas City, KS · On-site

$98 - $139/hr

... 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 ...

New

Waabi

$195K - $286K/yr

You will partner closely with ML Platform, Infrastructure, Onboard Autonomy, and Simulation teams ... engineers working in the distillation and model efficiency space, setting a high technical bar and ...

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 ...

Medium

Senior AI Engineer

Toronto, KS · On-site

$88.09 - $117.45/hr

The Opportunity ShyftLabs is looking for a Senior AI Engineer to sit at the intersection of AI/ML engineering and backend platform development. This isn't a research role, it's a hands‑on ...

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 ...

Auvik Networks

You'll work alongside a Staff Data Engineer (who owns the data foundation) and report to the ... Experience with Python for ML workflows is a plus. * Deep understanding of system design ...

T-Mobile

Sr Engineer, Software

Overland Park, KS · On-site

$121K - $159K/yr

Explores AI/ML technologies and automation platforms to design innovative solutions for business ... Experience with DevOps tools, such as RabbitMQ, Kafka etc. Experience in Docker, Kubernetes ...

PICTOR LABS INC

$89K - $123K/yr

About the Role We are seeking an experienced Senior ML Inference Engineer to join our team ... Collaborate with Platform and Edge Device teams to containerize inference systems (Docker ...

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Ml Platform Engineer information

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How much do ml platform engineer jobs pay per hour?

As of Aug 10, 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 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.

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 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.
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 57% Full Time, 38% Part Time, and 5% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution, with an average salary of $118,639 per year, or $57 per hour.

Senior Data Platform Engineer

Purple Wave Auction

Manhattan, KS • On-site, Remote

$100K - $125K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

Description
Build the Data Platform That Powers What's Next.
We're seeking a seasoned Senior Data Platform Engineer to design and operate the pipelines, services, and data products that the rest of the company builds on. In this role, you'll own the flow of data end to end - ingesting and transforming it through ETL/ELT and dbt, orchestrating reliable batch and streaming workflows, and exposing it through the APIs and microservices that product teams depend on, including the next generation of features powered by large language models (LLMs) and machine learning. Beyond hands-on engineering, you'll shape technical direction, mentor teammates, and help drive standardization across the department. If you're energized by building dependable data systems and excited to apply LLMs and ML to real product problems, we'd love to have you on the team.
We are seeking an experienced Senior Data Platform Engineer to join our data team in building and maintaining a robust data platform and the backend services around it, while providing technical guidance and mentorship. This role focuses on designing and shipping high-quality data pipelines and transformations - building and maintaining ETL/ELT and dbt workflows, orchestration, and data-quality and observability practices - alongside the Python microservices and APIs that serve data and integrate LLM and ML capabilities into production. You'll also contribute to technical direction at the team level and lead standardization efforts across the department, collaborating closely with product teams and stakeholders to deliver reliable, scalable, and well-documented data and backend systems.
Responsibilities:
  • Technical Collaboration
    • Contribute to technical direction and strategic planning at the team level.
    • Evaluate and recommend new technologies and approaches for backend and AI/ML evolution.
    • Provide technical guidance and code reviews for team members.
    • Provide technical guidance and support to product teams consuming backend services.
  • Data Pipelines, ETL & Transformation
    • Design, build, and maintain data pipelines and ETL/ELT workflows that ingest, move, and transform data across source systems, the warehouse, and downstream consumers.
    • Develop and maintain dbt models, tests, and documentation to support analytics, reporting, and product features.
    • Build and operate workflow orchestration for batch and streaming data (scheduling, dependency management, retries, and alerting).
    • Establish and enforce data quality, reliability, and observability practices across pipelines (monitoring, lineage, freshness, and validation).
    • Implement schema management, versioning, and migration patterns to evolve data models safely.
    • Optimize pipeline performance, cost, and scalability across the data platform.
  • Data Application Development & Maintenance
    • Design, develop, and maintain microservices in Python; familiarity with Go and/or TypeScript/JavaScript is a plus.
    • Design and build APIs and services that integrate LLMs and ML models - including retrieval-augmented generation, embeddings, prompt orchestration, tool/function calling, and agentic workflows.
    • Develop self-service tools and APIs that enable product teams to independently leverage backend and AI capabilities.
    • Establish patterns for safely, reliably, and cost-effectively operating LLM- and ML-backed features in production (evaluation, observability, guardrails, fallbacks).
    • Build and maintain CI/CD pipelines and deployment automation.
    • Create and maintain technical documentation and standards repositories.
  • Team Collaboration & Process
    • Work within an Agile framework to prioritize and deliver backend improvements.
    • Collaborate with product teams and stakeholders to understand requirements and pain points.
    • Help foster a culture of continuous learning, improvement, and technical excellence.
    • Encourage adoption of consistent tooling and processes across development teams.
    • Contribute to cross-team initiatives to improve developer experience and backend consistency.
  • Undertake additional assigned duties as requested.

Supervisory Responsibilities:
  • None.

Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related field, OR 6+ years of professional software development experience in lieu of degree.
  • 5+ years of backend software development experience.
  • 2+ years of experience in technical leadership or mentoring roles.
  • Programming Languages: Expert proficiency in Python; familiarity with Go and/or TypeScript/JavaScript is a plus.
  • LLMs & Machine Learning: Practical experience integrating LLMs or ML models into production systems - including at least several of: prompt engineering, RAG, embeddings/vector search, tool/function calling, evaluation, and cost/latency optimization.
  • Databases: Advanced experience with MySQL, PostgreSQL, and Redis; familiarity with vector databases (e.g., pgvector, Pinecone, Weaviate) is a plus.
  • APIs: Proven experience designing, building, and operating RESTful APIs at scale.
  • CI/CD: Advanced pipeline design and implementation using industry best practices and tools.
  • Infrastructure: Experience with cloud providers (AWS, Azure, GCP); container orchestration experience (Kubernetes) is a plus.
  • Proven experience building and scaling backend services and APIs.
  • Deep understanding of microservice architecture patterns, distributed systems, and best practices.
  • Experience with observability tools and practices (monitoring, logging, tracing) - including for AI/ML workloads where applicable.
  • Strong ability to communicate complex technical concepts to diverse audiences.
  • Strong customer-focused mindset with emphasis on the developer and end-user experience.
  • Experience facilitating technical discussions and building consensus.
  • Demonstrated experience providing technical guidance.
  • Spanish speaking bi-lingual candidates are encouraged to apply.
  • Candidates may be requested to complete position specific skills assessments.
  • Applicants must be either a U.S. Citizen or eligible to work in the U.S.
  • Requires the ability to satisfactorily complete a background check.

Working Settings:
  • Full-time Salaried Exempt, not eligible for overtime.
  • Office hours are 8am-5pm, Monday through Friday, Central Time zone, additional hours may be required depending on priorities.
  • This position is remote work eligible within the United States. Please be aware: the first week of employment includes mandatory in-person training. Remote start arrangements are not available.
  • Also mandatory: One week a year of in-person training with the department.
  • Potential for 10% travel, should the need arise.
  • Prolonged periods sitting at a desk and working on a computer.
  • Must be able to lift up to 15 pounds at times.

Compensation:
  • The salary varies based on experience and qualifications, but typically ranges from $100,000 to $125,000 per year.
  • Monthly Bonus Program - determined by the Company's monthly revenue result and are paid on a "percent to plan" payout formula (90% = $300, 100% = $600, 110% = $900, 120% = $1,200).
  • Monthly phone stipend in accordance with the Company's cell phone policy, currently $120/month.
  • Health, Dental, and Vision insurance.
  • 401(k) plan with an employer match up to 4% starting the first day of employment.
  • Company-paid Life Insurance with options for supplemental coverage.
  • Fully paid Short-Term Disability provided by the Company.
  • 3 Weeks of PTO annually (details shared during onboarding).
  • Employee Stock Purchase Program (ESPP) - Eligible to purchase company stock at a discount after 90 days of employment, with enrollment opportunities each May and November.

Apply