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PhysicsX is a deep-tech company building AI-driven simulation software for engineering and manufacturing across aerospace, defense, materials, energy, semiconductors, and automotive. The company accelerates hardware innovation by enabling high-fidelity multi-physics simulation through AI inference across the engineering lifecycle.
As a Senior Machine Learning Engineer in the Delivery team, you will own the end-to-end deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, time-series forecasting, anomaly detection, optimization and control) into customer production environments. You'll work closely with Data Scientists, Simulation Engineers, and customers to understand and solve complex engineering and physics challenges.
Key responsibilities include:
- Own deployment of ML models to customer production environments across cloud and on-prem setups
- Lead scoping and architecture design for data/ML systems; define success metrics and quality bars
- Build robust, scalable ML systems, training/inference pipelines, and APIs using Python, PyTorch, Pandas, fastAPI, Scipy, and Kubeflow
- Communicate results and trade-offs to senior stakeholders; influence product roadmaps with evidence
- Mentor and develop engineers and data scientists; provide technical direction under pressure
- Travel to customer sites globally (North America, Europe, Asia, Oceania) for approximately 3-4 weeks per quarter to collaborate on-site
- Own scoping of new projects and customer engagements
You bring at least 3 years of commercial, non-research ML industry experience (post-Masters or PhD). You've shipped ML systems end-to-end at scale, with expertise in 3D point-cloud and mesh data manipulation, geometry-aware modeling, and pragmatic product decisions. You're excited about technical leadership, taking ownership of complex work streams, and guiding teams to success while ensuring solutions are practical, impactful, and meet evolving customer needs.
The role operates on a hybrid model with 3 days per week in the Shoreditch office in London.
