Utility Warehouse
Utilities
SeniorMachineLearningEngineer
“Senior Machine Learning Engineer at Utility Warehouse. Skills: Machine Learning, Production ML, MLOps, GenAI. Re-architect experimental models for production. Own Day 2 operations”
What You'll Achieve.
Help more people stop wasting time and money; Ensure continuous monitoring for drift and performance; Measure commercial uplift; Ensure value delivery
Industry & Context.
Strategic Problem Solving; Break down vague requirements; Pragmatic problem-solvers
participate in on-call rotations
What They're Looking For.
Must Have
Production ML Experience, Python, software engineering best practices, unit testing, modular code, Git, Docker, Kubernetes, model registries, monitoring tools, MLflow, Grafana, leading high-impact initiatives, implementing small to medium sized features, Continuous improvement mindset, working in a relevant consumer-centric domain, Software Engineering mindset, Strategic Problem Solving, Clear Communication, Accountability, Continuous Learning
Nice to Have
retail experience, fintech experience, utilities experience, Feature Stores, Feast, Tecton, streaming data technologies, Kafka, Pyspark, LLM-based applications, RAG architectures, vector databases
What You'll Do.
Re-architect experimental models for production
Build infrastructure for GenAI
Design and deploy ML models
Develop Customer Segmentation
Own xLTV and ROI logic
Productionise scalable models
Design and analyse A tests
Translate statistical outputs
How You'll Work.
Team & Collaboration
Partner with Data Scientists; Collaborate with Data Engineers; Work empathetically with Data Scientists; Advise stakeholders on ML Engineering applications
Communication Scope
Excellent verbal and written skills; Ability to influence technical and non-technical audiences
Process & Methodology
independently implementing small to medium sized features
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