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Machine Learning Performance Engineer

Vallum Associates
London
1 month ago
Applications closed

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Lead Machine Learning Engineer - Databricks experience

Lead Machine Learning Engineer - Databricks experience

Direct message the job poster from Vallum Associates Machine Learning/ MLOps Engineer – Leading Energy Company Location: Remote - London Type: Contract - 6 months rolling We're looking for an ML Ops Engineer to join a leading energy company as part of the Wholesale Markets team. This role focuses on building the infrastructure and tooling to help data scientists turn research models into scalable, production-grade solutions. The Wholesale Markets function sits at the core of the energy trading strategy. They leverage data and advanced analytics to forecast market movements, manage risk, optimize generation assets, and support energy procurement. You'll work closely with the Tech Lead and support the full ML lifecycle - from training to deployment - using AWS SageMaker and modern DevOps practices. This is an engineering-focused role, not a mathematical modeling one. Build and maintain ML pipelines using SageMaker for training and deployment. Work with data scientists to productionize models and manage deployments. Develop tools and workflows for CI/CD, monitoring, and model versioning. Strong experience in ML Ops with a focus on machine learning systems. Proficiency with AWS SageMaker, Python, Docker, and workflow orchestration tools. Experience deploying and monitoring models in production environments. Understanding of CI/CD and best practices for ML. Exposure to energy trading or real-time data environments. Apply now for immediate review! Employment type Contract Job function Information Technology Sign in to set job alerts for “Machine Learning Engineer” roles. Graduate Software Engineer – ML Data Platform Machine Learning Scientists and Engineers: AI for Quantum Machine Learning Engineer, Recommendations Machine Learning Software Engineer, Research Research Engineer, ML, AI & Computer Vision We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #

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