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
Technical Skills Required
Benefits & Perks
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 £250, with an additional £250 donated to a charity of your choice. 5V Tech is acting as an Employment Agency for this vacancy. We specialise in talent solutions.