Machine Learning Platform Engineer

Machine Learning Platform Engineer

Remote (European Union) – Company based in Helsinki, Finland

AI Infrastructure | Machine Learning Platforms | Deep Tech

For one of our clients, a fast-growing AI Infrastructure scale-up based in Helsinki, we are looking for a Machine Learning Platform Engineer to help build the cloud platform powering the next generation of production AI systems.

Working alongside machine learning engineers, platform engineers, and software developers, you'll design and operate the infrastructure that makes AI development faster, more reliable, and easier to scale.

If you're passionate about cloud-native engineering, MLOps, automation, and enabling world-class AI teams, this is an opportunity to work at the heart of one of Europe's fastest-growing AI technology companies.

Technical Environment

• Python

• Kubernetes

• Docker

• MLflow

• Kubeflow or KServe

• AWS, Azure, or GCP

• Terraform

• GitOps & CI/CD Pipelines

What You'll Be Working On

• Designing and building scalable machine learning platforms for production environments

• Developing automated model training, deployment, and monitoring pipelines

• Supporting machine learning engineers with reliable self-service infrastructure and tooling

• Building Infrastructure as Code and deployment automation for cloud-native AI platforms

• Improving observability, reliability, and operational performance across ML systems

• Optimising model serving, inference performance, and platform scalability

• Collaborating with software, data, and platform engineers to continuously improve the AI development lifecycle

Experience Required

• 4+ years of experience in Platform Engineering, MLOps, DevOps, Cloud Engineering, or Machine Learning Infrastructure

• Strong Python development and automation skills

• Hands-on experience with Kubernetes and containerised production environments

• Experience supporting machine learning workloads in cloud environments

• Strong understanding of Infrastructure as Code using Terraform or similar tools

• Experience building CI/CD pipelines and cloud-native platforms

Nice to Have

• Experience supporting Large Language Models or Generative AI platforms

• NVIDIA GPU infrastructure and CUDA optimisation

• Vector databases and Retrieval-Augmented Generation (RAG) architectures

• Ray, Airflow, Feast, or feature store technologies

• Prometheus, Grafana, OpenTelemetry, or Datadog

• Experience with distributed training and high-performance inference systems

Why Join?

🚀 Fully remote role open across the European Union

🚀 Join a fast-growing AI Infrastructure company building production AI platforms

🚀 Work with cutting-edge cloud-native and machine learning technologies

🚀 High level of ownership with opportunities to influence platform architecture and engineering standards

🚀 Collaborate with experienced AI, platform, and cloud engineers solving complex technical challenges

🚀 Excellent long-term career progression within a company investing heavily in AI infrastructure and engineering excellence