Applied Machine Learning Engineer, Industry Solutions

The Role The Applied Machine Learning Engineer will be a member of Terra Quantum's AI Applied Research team. This team builds and delivers end-to-end machine learning solutions for industrial clients across time series forecasting, optimisation, computer vision, natural language processing, and generative AI. The Engineer will own the classical machine learning craftsmanship that makes those solutions work, from data exploration and feature engineering through to model selection, hyperparameter optimisation, training pipelines, evaluation, and client delivery.

A subset of the models built by the team incorporate a quantum layer; the Engineer is expected to treat that layer as one architectural component of an otherwise classical pipeline, and to apply the full toolkit of classical ML methods (including tree-based methods, boosting, deep learning, and classical optimisation) to make hybrid solutions perform reliably on real industrial data. The Applied Machine Learning Engineer plays a role in driving excellence within their team. They are not only detail-oriented but also possess a remarkable capacity for enthusiasm.

By demonstrating commitment and passion for the mission, they inspire their team members to contribute to making quantum technologies widely accessible and to effect positive change globally.

Responsibilities

The Applied Machine Learning Engineer should expect to work in one and supporting in the other areas of the following AI Applied Research Team activities.

Requirements

The Applied Machine Learning Engineer is expected to have several

Qualifications

depending on the area of activity.