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Python Ml Developer Jobs in Missouri (NOW HIRING)

Tenex

AI/ML Engineer II

Kansas City, MO · On-site

$120 - $150/hr

As an AI/ML II Engineer at TENEX, you will be a key technical contributor responsible for designing ... Python, Go, Rust, or Java). * Agentic Systems: Deep knowledge of agentic systems design, such as ...

New

Jobtailor

Solutions Architect, AI and ML

California, MO · On-site

$130 - $180/hr

Ability to use at least one scripting language, such as Python * Good programming and debugging ... ML Solutions * Cloud Service Providers * Technical Customer Engagement * Business Strategy Tools ...

New

Worky

Sr. AI Developer, Engineering

Kansas City, MO · On-site

$160 - $205/hr

Design and implement backend services and APIs using Python (FastAPI, Flask, or similar frameworks ... Collaborate with AI/ML Engineers to integrate model endpoints (LLMs, RAG systems, Vertex AI Agents)

New

Jobgether

$80K - $110K/yr

Our partner is looking for a Senior ML Engineer (Token Factory) based in Netherlands. This role ... Working primarily with Python and JAX, you will turn advanced research ideas into reliable ...

MasterCard

Senior AI Engineer

O Fallon, MO · Hybrid

$97K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... ML fundamentals - predictive modeling, deep learning (PyTorch, TensorFlow), and statistical techniques - used in tandem with Gen AI for hybrid, interpretable systems. Excellent Python engineering ...

Mastercard, Inc.

Senior AI Engineer

O Fallon, MO · On-site

$97K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are looking for a Senior AI Engineer, Generative AI & ML Engineering for the Operational ... Python backend services for LLM inference orchestration, async job handling, streaming responses ...

Jobgether

$80K - $110K/yr

Our partner is looking for a Senior ML Engineer (AI Research, Physical AI) based in Netherlands ... Strong software engineering and algorithm development skills, primarily using Python. * Experience ...

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Python Ml Developer information

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Missouri?

For Python Ml Developer jobs in Missouri, the most frequently searched job titles are:

What job categories do people searching Python Ml Developer jobs in Missouri look for?

The top searched job categories for Python Ml Developer jobs in Missouri are:

Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Missouri as of June 2026, with employment types broken down into 87% Full Time, 6% Part Time, and 7% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Senior Software Engineer - Agentic AI Tools

Jobtailor

California, MO • On-site

$150 - $230/hr

Other

Posted 3 days ago

New

Job description

  • Build and implement AI agents that autonomously scrape, ingest, correlate, and analyze data from external and internal sources to support threat research and broader security use cases.
  • Build agents using Python, TypeScript, and where relevant Go, along with LangChain, LangGraph, CrewAI, LlamaIndex, APIs, web scraping libraries, and ML frameworks for predictive analytics and research workflows.
  • Enhance F5 platform and portfolio integration, including AI Security, BIG-IP, NGINX, and Distributed Cloud, with AI agents and supporting tools for scalable research, security analysis, and technical marketing engineering assets.
  • Engineer AI-driven agents to detect, analyze, and assess emerging threats across AI security, app security, bots, PQC, and related trends.
  • Turn research findings into usable outputs for internal teams and customer-facing security narratives.
  • Partner with technical marketing engineering teams to improve the quality, scale, and effectiveness of demos, technical articles, webinars, presentations, automation, and use case validation.
  • Develop AI-powered security and non-security tools, dashboards, and web experiences for technical marketing, demos, presentations, testing, and research.
  • Build pipelines for AI workload optimization, observability, testing, and automation across research and technical marketing engineering use cases.
  • Support validation and testing of security tools, demo environments, and customer use cases to improve repeatability and technical depth.
Requirements
  • 8+ years of experience in AI/ML engineering, including recent hands-on work building and deploying agentic AI systems for research, automation, and intelligence generation.
  • Strong expertise in Python and in designing and orchestrating autonomous and multi-step AI agents for research and security workflows.
  • Hands-on experience with LangChain, LangGraph, CrewAI, and LlamaIndex.
  • Working knowledge of OpenAI, Anthropic, Gemini, and NVIDIA model ecosystems.
  • Experience with RAG architectures, prompt engineering, tool calling, embeddings, vector databases, and workflow design for reliable AI agents.
  • Experience with MLflow, Kubeflow, BentoML, and related MLOps and AI deployment tools.
  • Strong expertise in data ingestion using APIs, web scraping, BeautifulSoup, and Scrapy, including pipelines for CVEs, vulnerability databases, threat feeds, blogs, and other external/internal data sources.
  • Familiarity with F5 products such as AI Security, BIG-IP, NGINX App Protect, and Distributed Cloud API Security, or equivalent platforms, is nice to have.
  • Foundational understanding of cybersecurity concepts and frameworks such as MITRE ATT&CK and OWASP.
  • Proven success delivering AI-driven research tools, security and non-security tools, scalable automation, and technical outputs that improve technical marketing engineering assets such as demos, articles, testing workflows, webinars, presentations, and reusable validation tools.
  • Strong cross-functional collaboration skills across engineering, product management, technical marketing engineering, research, and data science teams.
Core Competencies

Demonstrates extensive experience in AI/ML engineering, particularly in building and deploying autonomous AI agents for research and security workflows. Proficient in utilizing tools and frameworks such as Python, LangChain, and MLOps technologies to enhance security analysis and technical marketing outputs.

Highest-signal resume keywords
  • AI/ML Engineering
  • Python Programming
  • LangChain Experience
  • Data Ingestion Using APIs
  • Cybersecurity Concepts
ATS Optimization Keywords Hard Skills
  • AI Agent Development
  • Machine Learning Frameworks
  • Web Scraping Libraries
  • Data Correlation and Analysis
  • Prompt Engineering
  • RAG Architectures
  • MLOps Tools
  • Automation Pipelines
  • Technical Marketing Engineering
  • Security Tool Validation
Soft Skills
  • Cross-Functional Collaboration
  • Communication Skills
Industry Keywords
  • Cybersecurity Frameworks
  • MITRE ATT&CK
  • OWASP
  • Threat Research
  • Vulnerability Databases
Tools & Technologies
  • LangGraph
  • CrewAI
  • LlamaIndex
  • MLflow
  • Kubeflow
  • BentoML
  • BeautifulSoup
  • Scrapy
  • F5 BIG-IP
  • NGINX App Protect
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