Azure Machine Learning Platform Engineer

The future winning companies are the ones that are best at harnessing their data to become intelligent, AI-driven businesses. While data is the fuel, a robust machine learning platform is the engine that enables innovation.

Building the underlying architecture for model training, deploying Large Language Models (LLMs), and managing real-time inference at scale requires special expertise. That is why we are looking for a Machine Learning Platform Engineer to join our growing Data-Driven Business team.

In this role, you will move beyond traditional infrastructure. You will be responsible for designing, architecting, and implementing modern, secure Azure AI platforms. You will act as an enabler for Data Science teams, building the "paved road" that allows them to deploy Azure ML Workspaces, utilize Azure AI Foundry, and ship GenAI services to production securely and efficiently.

Our ideal candidate has:

• Professional Experience: 8+ years in IT, with extensive hands-on experience building modern cloud infrastructure, with a recent focus on ML Platform Engineering or MLOps.
• Azure ML & AI Foundry: Deep expertise in deploying and configuring Azure Machine Learning Workspaces and Azure AI Foundry. You understand the ecosystem of Model Registries, Compute Clusters, and how to secure them (Private Links, VNETs).
• Kubernetes for Inference: Strong practical experience maintaining AKS (Azure Kubernetes Service) specifically for Kubernetes Online Endpoints. You know how to debug inference errors, manage auto-scaling for model serving, and handle specialized compute (GPU).
• GenAI & Vector Stack: Practical experience implementing the infrastructure for RAG (Retrieval-Augmented Generation) architectures. You have worked with Vector Databases (e.g., Azure AI Search, Qdrant, Pinecone) and know how to integrate them into an Azure environment.
• Infrastructure as Code (IaC): Advanced proficiency with Terraform for provisioning and managing ML resources. You believe that an ML Workspace should be reproducible via code, not clicked together in the portal.
• CI/CD & MLOps: Mastery of Azure DevOps. You don't just build code pipelines; you understand MLOps—automating model retraining, versioning, and deployment to inference endpoints.
• Programming: Proficiency in Python (specifically using the Azure ML SDK v2 and CLI) for scripting, automation, and glue code.

What sets you apart (we’d consider any of these as a big plus):

• Data Engineering Background: Experience with modern data processing and orchestration tools (e.g., Azure Data Factory, Databricks, Fabric, or Airflow). Understanding how to build the data pipelines that feed the ML models is a massive advantage.
• Advanced Observability: Experience setting up monitoring for model drift, data quality, and inference latency using Azure Monitor or App Insights.
• Certifications: Active Azure certifications (e.g., Azure DevOps Engineer Expert, Azure Data Engineer Associate)
• Consultancy experience: Previous experience gained in mid-size/large international client-facing environments
• “Hold my beer – I got this” attitude
• Insight Geek that needs constant feeding
• Strong communication skills and fluent English.

We offer:

• Highly skilled co-workers in a friendly and supportive working culture; we enjoy working, having fun together and sharing our knowledge
• The most advanced technologies: we are the overly excited techies who can’t wait to read about the newest launches!
• Benefits like health care, cafeteria system, life insurance, access to learning platforms
• An individual training budget, coverage of certain hyperscaler certification exam fees and bonuses upon successful certification
• Great self-development possibilities – we organise internal presentations and workshops. If you want, you also get to write blog texts and give presentations at meet-ups
• Ability to choose your working model from day one – fully remote, fully on-site, hybrid - your choice!

We encourage you to apply, even if you don’t meet all of the requirements. We value your growth potential and enthusiasm!

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About Nordcloud

Nordcloud is a European leader in cloud implementation, application development, managed services and training. It’s a recognised cloud-native pioneer with a proven track record helping organisations leverage public cloud in a way that balances quick wins, immediate savings and sustainable value.

Nordcloud is triple-certified across Amazon Web Services, Microsoft Azure and Google Cloud Platform – with 10 European hubs, over 1,300 employees and has delivered over 1,000 successful cloud projects for companies ranging from midsize to large corporates.

Our clients benefit from multi-cloud expertise that guides best practices, preempts pitfalls, provides essential technical support and steers teams through cultural change. From strategy planning to application management, we take our customers through the whole cloud journey to drive real business outcomes from cloud technology.

Learn more at www.nordcloud.com

Nordcloud values diversity and is dedicated to providing equal opportunities for all candidates and employees.