Senior Software Engineer | ML Infrastructure
Job details
Posted 23 July 2025 | Salary £100,000 - £120,000 per annum | Benefits: Equity | Location: London | Job type: Permanent | Discipline: DevOps & Cloud Engineering | Reference: BK-62
About Us
We’re a stealth-stage deep tech startup reimagining how AI models are trained, scaled, and optimized. Our goal is to make large-scale AI systems faster, greener, more efficient, and easier to deploy. If you're excited by infrastructure that powers the cutting edge of machine learning, we’d love to hear from you.
The Role
We're hiring a Senior Software Engineer to lead the development of a high-performance API platform for serving machine learning models at scale. You’ll be responsible for the entire infrastructure stack — from backend APIs to deployment, scaling, and performance optimization. This is a hands-on role at the intersection of distributed systems, MLOps, and cloud-native engineering.
What You’ll Be Doing
* Architect and develop scalable APIs using FastAPI (or similar), Python, and modern backend frameworks
* Design and maintain infrastructure for ML model serving
* Collaborate with ML engineers to optimize training and deployment workflows
* Manage cloud infrastructure — Kubernetes, Terraform, CI/CD pipelines
* Create dashboards and analytics tools using React or similar technologies
* Lead system design, performance tuning, and ensure system reliability
What We’re Looking For
* 5+ years of professional software engineering experience
* Strong Python backend development skills (FastAPI or equivalent)
* Experience scaling cloud-native systems (preferably on AWS) using microservices and infrastructure-as-code
* Deep knowledge of Kubernetes and Terraform in production environments
#J-18808-Ljbffr