Machine Learning Platform Engineer

Are you passionate about Machine Learning and Artificial Intelligence and excited to work at the intersection of Cloud Infrastructure and cutting-edge ML/AI solutions in a fast paced business? This is your chance to embed with our Fundamental Modelling (FM) team, developing large-scale ML/AI models using and supplying terabytes of meteorological data to drive insights and competitive advantage in energy trading.

About the Role

Your mission: Enable our FM and Quant Trading teams to focus entirely on sophisticated modelling and meteorology solutions by ensuring platform infrastructure and operations run seamlessly in the background.

You’ll help maintain and expand our hybrid infrastructure using Azure Cloud and on-premise high-performance computing (HPC) resources, ensuring the right balance of performance, agility, reliability and cost for each use case.

Key Responsibilities

• Develop and manage the ML platform for large-scale data and complex ML models.
• Implement MLOps best practices to streamline development and deployment.
• Optimize the platform’s performance and efficiency across Azure Cloud and on-premise HPC.
• Ensure smooth transition of ML and Big Data applications from development to production.
• Proactively solve infrastructure issues and improve platform reliability.
• Partner with data scientists and engineers to enable successful deployment and monitoring.
• Drive platform improvements to meet business and technical needs.

We expect that you are familiar with several of the topics below and are ready to embrace learning the rest in your job with us!

• Experience building and maintaining ML platforms in data-intensive environments.
• Strong experience with Azure Cloud, Docker, and Kubernetes.
• Expertise in GPU-based ML training and high-memory computing.
• Experience with HPC infrastructure and cloud integration.
• Ability to assess and recommend the best infrastructure solutions.
• Strong problem-solving and communication skills.
• Experience with time-series or geospatial data is a plus.
• Collaborative: You work well with data scientists and engineers to solve challenges together.
• Business-driven: You seek to understand business needs and deliver effective solutions.
• Proactive: You anticipate problems and address them before they escalate.
• Customer-focused: You ensure the FM team can rely on the platform without friction.
• Adaptable: You adjust strategies based on changing business and technical requirements.
• Clear communicator: You explain technical concepts to both technical and non-technical stakeholders.

Want to know more?

Feel free to reach out if you have any questions about this opportunity.