Senior Backend (ML) Engineer

Transforming ML Prototypes into Scalable Production Services

Join a fully remote team within the EU to take ownership of the backend services, APIs, and infrastructure supporting machine learning models in production. This 12-month contract, with extension possibilities, offers the opportunity to work closely with Applied Scientists to turn prototypes into robust, production-ready systems.

Key Responsibilities

• Productionise ML prototypes and deploy scalable services on Kubernetes
• Build and operate APIs for real-time and batch ML inference
• Manage GPU inference workloads, autoscaling, and performance
• Own service reliability, latency, load testing, and production incidents
• Build and maintain data pipelines and production monitoring
• Collaborate with Applied Scientists to productionise new ML capabilities

Essential Skills

• Strong proficiency in Java, Kotlin, Scala, and Python
• Hands-on experience with Kubernetes, Docker, and Infrastructure as Code
• Experience building and operating production HTTP APIs
• Strong AWS experience, including IAM, S3, and CI/CD
• Experience debugging live production systems

Nice to Have

• Familiarity with Triton, TorchServe, or similar GPU inference platforms
• Experience with Kafka, Spark, or Databricks