Overview
This is a chance to join a team who are creating an Energy Management Solutions to minimise energy cost & increase higher returns from energy assets.
We are seeking a highly skilled Lead Data & Machine Learning Architect to design and lead the development of robust data and machine learning systems. You will take ownership of the data architecture, drive the development and deployment of machine learning models, and contribute to the strategic use of data across the organisation.
Responsibilities
* Data Architecture
Schema & Model Ownership: Design, implement, and maintain logical and physical data models, primarily using PostgreSQL.
* Data Integration
Build and manage robust data pipelines to ingest, clean, and unify data from APIs, sensors, and other external sources, using tools like Dagster.
* System Design
Select appropriate storage and processing technologies tailored to system needs.
* Governance & Security
Define and enforce data governance policies, ensuring compliance with standards such as GDPR.
* Performance & Scalability
Ensure data infrastructure is optimised for performance and can scale with growing data demands.
* Machine Learning
Model Development: Lead the development of machine learning models, particularly for time-series forecasting (e.g., predicting on-site energy production).
* Data Preparation
Manage the transformation and preparation of datasets for model training and evaluation.
* Experimentation
Design and execute experiments, tune hyperparameters, and iterate on models to improve performance.
* Deployment & Monitoring
Deploy models into production environments and monitor their ongoing performance.
* Maintenance
Establish retraining workflows and manage model updates as systems and data evolve.
Cross-functional Collaboration
* Project Engagement: Work closely with project managers and stakeholders to align data and ML capabilities with new features and strategic initiatives.
* Requirements Gathering: Collaborate with business teams to define clear, actionable requirements for data pipelines, storage solutions, and ML workflows.
If you are interested, please apply with your latest CV and we will be in touch
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