Senior Machine Learning Engineer

PhysicsX, London, United Kingdom +1

What you will do

Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time‑series forecasting, anomaly detection, optimization & control) to customer production environments.
Communicate results and trade‑offs to senior stakeholders; steer roadmaps and influence product direction with evidence.
Lead scoping and architecture design for data/ML systems; define success metrics, delivery plans and quality bars.
Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others.

PhysicsX, London, United Kingdom +1

Own the deployment of ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data, time‑series forecasting, anomaly detection, optimization & control) to customer production environments.
Communicate results and trade‑offs to senior stakeholders; steer roadmaps and influence product direction with evidence.
Lead scoping and architecture design for data/ML systems; define success metrics, delivery plans and quality bars.
Excel at building robust and scalable ML systems, training and inference pipelines and APIs, running both on cloud and on-prem environments. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others.