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Senior Machine Learning Engineer - AI Platform & Data Infrastructure

5v tech • Texas Metropolitan Area
Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Design, build, and own production-grade ML systems, data pipelines, and cloud infrastructure. Collaborate with data science, engineering, and product teams. Implement best practices for data quality, model monitoring, and pipeline reliability.

Key Highlights
Build and maintain scalable data pipelines, ETL workflows, and ML-ready datasets
Develop and deploy production-grade ML models in a modern AWS environment
Collaborate with data science, engineering, and product teams to operationalise ML initiatives
Technical Skills Required
Python SQL AWS Cloud-native ML services dbt LangChain LangGraph MLOps practices CI/CD model lifecycle management
Benefits & Perks
Salary: $130,000–$165,000 + Bonus + Equity
Remote work: Fully Remote (US-based)
Bonus: up to ÂŁ250 for referrals

Job Description


Senior Machine Learning Engineer – AI Platform & Data Infrastructure


🌎 Location: Fully Remote (US-based)

⌚ Contract Type: Full-Time, Permanent

💵 Salary: $130,000–$165,000 + Bonus + Equity


We are partnered with a fast-growing technology company building next-generation, AI-powered solutions for large-scale operational and supply-chain environments. They are expanding their machine learning and data engineering capability and are now seeking an experienced Senior Machine Learning Engineer to help build and scale their ML platform.


This is a hands-on role where you will design, build, and own production-grade ML systems, data pipelines, and cloud infrastructure. You will work across the full machine learning lifecycle, enabling research teams, guiding technical decisions, and contributing to projects at the forefront of GenAI, automation, and intelligent decision-making.


Responsibilities

  • Build and maintain scalable data pipelines, ETL workflows, and ML-ready datasets.
  • Develop and deploy production-grade ML models in a modern AWS environment.
  • Collaborate with data science, engineering, and product teams to operationalise ML initiatives.
  • Implement best practices for data quality, model monitoring, and pipeline reliability.
  • Contribute to LLM agent workflows using tools like LangChain or LangGraph.



Key Skills

  • Strong experience delivering end-to-end ML systems into production.
  • Proficiency with Python, SQL, and modern ML frameworks.
  • Hands-on experience with AWS and cloud-native ML services.
  • Solid understanding of data engineering, ETL, and pipeline development (dbt a plus).
  • Exposure to MLOps practices, CI/CD, and model lifecycle management.
  • Familiarity with LLM tooling (LangChain, LangGraph, etc.).


Bonus Points

  • Experience with large operational datasets (logistics, forecasting, optimisation).
  • Background in SaaS, automation, or scaling AI platforms.


If you are interested in this position, please reach out and apply to find out more!


Know someone who could be a great fit? Refer a candidate and earn up to ÂŁ250, with an additional ÂŁ250 donated to a charity of your choice. 5V Tech is acting as an Employment Agency for this vacancy. We specialise in talent solutions.


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