Machine Learning Engineer - Utilities

Kraken (5 days ago)

HybridFull TimeMedior$75,963 - $102,233 (estimated)Engineering

About this role

Hands-on ML Engineer role within Kraken Utilities focused on advancing Kraken's platform for utilities (energy, water, broadband). The role centres on mature, live GenAI-powered products such as the Companion RAG chatbot and sits within a growing, hybrid London-based team. It contributes to Kraken’s mission to create a smart, sustainable energy system at global scale.

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Required Skills

Machine Learning
Python
SQL
Data Analysis
Model Evaluation
ML Pipelines
Production Code
GenAI
LLMs
AWS

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About Kraken

kraken.tech

Kraken is a cloud‑native operating system for utility companies that centralizes customer experience, asset optimization, and field workforce management. Built to integrate smart meter and grid data, Kraken provides modular APIs, workflow orchestration, analytics and ML tools to automate billing, outage handling, dispatching and asset maintenance. Developed within the Octopus Energy Group, it’s designed to help utilities reduce operating costs, improve reliability and deliver faster, more personalised customer service. Utilities license Kraken to replace legacy stacks and accelerate digital transformation across customer, network and field operations.