- Pay
- $61–90k
- Where
- Denver, Colorado, GB · GB · Remote · Remote
- Level
- Mid
Join a growing AI & Technology company as a ML Platform Engineer in Denver.
Machine learning only works at scale when the infrastructure underneath it holds up.
This SME, an established and growing presence in AI & Technology with between 51 and 250 staff, builds the platforms that let data science teams train, deploy and monitor models without everything grinding to a halt.
That's where the ML Platform Engineer comes in.
Someone has to keep the pipes clean, the deployments reliable and the whole thing scalable as the company takes on bigger workloads.
Here's what you'll be doing: Build and maintain the infrastructure that supports model training, deployment and monitoring across the business Design CI/CD pipelines specifically for machine learning workflows, not just standard software releases Work closely with data scientists to turn experimental models into production-ready systems Manage containerisation and orchestration (Docker, Kubernetes) for ML workloads running at scale Monitor system performance and troubleshoot issues before they become downtime Document platform architecture so the rest of the team isn't guessing how things fit together Here are the skills you'll need: Solid experience with cloud infrastructure (AWS, GCP or Azure) and infrastructure-as-code tools like Terraform Strong Python skills, with a working understanding of ML frameworks such as PyTorch or TensorFlow Experience with Kubernetes, Docker and CI/CD pipelines in a production environment A genuine interest in MLOps and the practical challenges of running models reliably at scale Good communication skills.
You'll be the bridge between data science and engineering, and that only works if people understand you Comfortable owning problems end to end, from diagnosis through to a shipped fix Key perks and benefits: Salary of $60,500 to $90,000, reflecting the seniority this role carries Fully remote working, with the flexibility to structure your day around deep, focused work Private medical insurance and a pension contribution Generous annual leave and a genuinely flexible approach to work-life balance Bonus scheme and clear room to grow within a structured but still evolving company Why pursue a career in AI & Technology?
AI & Technology isn't slowing down, and the demand for people who can actually operationalise machine learning (not just build models in a notebook) keeps climbing.
Denver has quietly become one of the more interesting tech hubs in the US, with a growing cluster of AI & Technology companies and none of the burnout culture that comes with the bigger coastal markets.
For a ML Platform Engineer with the right skills, that combination of demand and location makes for a strong, durable career.
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