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Python Ml Engineer Jobs in Denton, TX (NOW HIRING)

Strong Python and AWS expertise, including Lambda, ECS/EKS, S3, SageMaker, Docker and Kubernetes ... AWS Solutions Architect, AWS DevOps Engineer, or equivalent industry certifications.

AI/ML Engineer

Plano, TX · On-site

$65 - $75/hr

Strong Python and AWS expertise, including Lambda, ECS/EKS, S3, SageMaker, Docker and Kubernetes ... AWS Solutions Architect, AWS DevOps Engineer, or equivalent industry certifications.

... programming language such as Java or Python, ML/AI frameworks, libraries, data structures and data modeling techniques. * Extensive experience in all phases of machine learning application lifecycles ...

Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations. * Hands-on production experience with LLMs, RAG, and prompt engineering . * Experience with multi-agent ...

Expert-level Python for data science and machine learning (e.g., pandas, scikit-learn, PySpark ... The Cybersecurity AI_ML Engineer is responsible for developing, deploying, monitoring, tuning ...

Python + AI

Addison, TX · On-site

$48.75 - $67/hr

C. is seeking a GenAI / AI Engineer focused on building LLM-based applications, RAG pipelines, and AI APIs using Python and FastAPI. The role also involves ML deployment using Docker, Kubernetes ...

Python + AI

Addison, TX · On-site

$48.75 - $67/hr

... Engineer to build LLM-based applications and AI APIs. The role involves working with Python and ... Required : • AI/Gen AI - 60% • Python - 25% • ML - 15% • building LLM-based applications ...

Required : • 5+ years of hands on with ML technologies. • Expert Python and strong experience ... • Strong SQL/data engineering experience; proficiency with Spark/Databricks. • Cloud ...

Senior ML Engineer

Addison, TX · On-site

$101K - $138K/yr

Proficiency in programming languages such as Python, Java, or Scala. Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Strong understanding of ...

Showing results 41-60

Python Ml Engineer information

See Denton, TX salary details

$21.6K

$131.2K

$189.9K

How much do python ml engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for python ml engineer in Denton, TX is $131,238.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,600.00 and $154,200.00 per year, depending on experience, location, and employer.

What cities near Denton, TX are hiring for Python Ml Engineer jobs?

Cities near Denton, TX with the most Python Ml Engineer job openings:

AI/ML Engineer

Plano, TX • On-site

Other

Medical, Dental, Vision

Re-posted 21 days ago


Job description

Benefits:
  • Bonus based on performance
  • Dental insurance
  • Health insurance
  • Vision insurance
Qualifications
  • Bachelor’s Degree
  • 6+ years cloud architecture experience
  • 3+ years building production GenAI/LLM systems on AWS.
  • Strong Python and AWS expertise, including Lambda, ECS/EKS, S3, SageMaker, Docker and Kubernetes.
  • Production experience with vector databases and designing ingestion + embedding pipelines for both batch and streaming workloads.
  • Hands-on with prompt design, evaluation, LLM orchestration, and RAG implementation patterns.
  • Experience deploying and operating model-serving or MCP – like server infrastructure (selfhosted or managed).
  • Proficient with IaC and delivery tooling, including Terraform/CloudFormation, GitOps, and CI pipelines.
  • Experience with model-serving infrastructure, such as Amazon SageMaker, NVIDIA Triton, Ray Serve, or similar platforms.
  • Hands-on experience with GenAI libraries and frameworks, including LangChain, LlamaIndex, Hugging Face, and OpenAI APIs.
  • Deep operational expertise with vector databases, such as Pinecone, Milvus, Weaviate, or Qdrant.
  • AWS Solutions Architect, AWS DevOps Engineer, or equivalent industry certifications.
Responsibilities
  • Cloud Architecture & Infrastructure, Design scalable, secure AWS architectures
  • LLM & GenAI Platforms, Lead integration of API-based and self-hosted LLMs, implement RAG solutions
  • Prompting & Evaluation, Develop prompt engineering strategies, reusable templates, and evaluation frameworks
  • Vector Databases & Retrieval Pipelines, Implement and maintain vector stores (OpenSearch, Pinecone, Milvus, Qdrant)
  • Data Ingestion & Processing Pipelines
  • Microservices & Serverless Systems
  • Python Development & AI Tooling
  • Security, Governance & Cross-Functional Leadership
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