- Pay
- $63–94k
- Where
- Chicago, Illinois, GB · GB · Remote · Remote
- Level
- Mid
Step into this ML Platform Engineer role and build something that matters in AI & Technology.
AI teams live or die by the infrastructure underneath them.
This established and growing technology business, part of the wider AI & Technology sector, needs someone who can keep models trained, deployed and monitored without the whole pipeline falling over.
It's a mid-level ML Platform Engineer role with a senior salary bracket attached, which tells you how much weight this position actually carries.
Here's what you'll be doing: Build and maintain infrastructure that takes models from training through to production deployment Monitor pipeline health and fix bottlenecks before they become outages Work with data scientists to package models so they run reliably at scale Automate repetitive deployment tasks using CI/CD tooling Manage compute resources and keep cloud costs under control Document systems clearly enough that the next engineer doesn't have to guess Here are the skills you'll need: Solid experience with Python and the usual ML frameworks (PyTorch or TensorFlow) Working knowledge of containerisation and orchestration, Docker and Kubernetes ideally Comfort with at least one major cloud provider, AWS, GCP or Azure An understanding of MLOps practices and CI/CD pipelines Clear communication skills.
You'll explain technical trade-offs to people who don't live in the codebase A methodical approach to problem-solving under pressure Key perks and benefits: Salary of $63,000 to $94,000, depending on experience Fully remote working, based from anywhere while the role is headquartered in Chicago Private medical insurance and pension contribution Bonus scheme on top of base salary Generous annual leave and flexible working patterns Why pursue a career in AI & Technology?
AI & Technology isn't slowing down, and platform engineers sit right at the centre of it.
Chicago has become a genuine hub for this kind of work, with a growing bench of companies that need people who can keep ML systems running, not just build them.
Get good at this and the career options widen fast, in Chicago and well beyond it.
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