2 months ago
London, United KingdomSenior
Responsibilities
- Own deployment of ML models and engineering surrogates, including deep learning on CAE, CFD, and FEA data, time-series forecasting, anomaly detection, optimization, and control.
- Scope and architect data and ML systems, defining success metrics, delivery plans, and quality standards.
- Build robust and scalable ML systems, training and inference pipelines, and APIs for cloud and on-premises environments.
- Collaborate with data scientists, simulation engineers, and customers to define and solve engineering and physics challenges.
- Communicate results and trade-offs to senior stakeholders and influence technical roadmaps and product direction.
- Mentor and develop engineers and data scientists while providing calm, clear technical leadership.
- Translate R&D and project outputs into reusable libraries, tooling, and products.
- Scope new customer projects and participate in bringing new customers to PhysicsX.
Requirements
- At least 3 years of industry experience in a commercial, non-research environment after a Master’s or PhD.
- Experience shipping ML systems end-to-end and at scale.
- Ability to build and test reliable, scalable ML data pipelines and training and inference pipelines.
- Experience exploring and manipulating 3D point-cloud and mesh data for geometry-aware modeling.
- Strong software engineering and data science skills, including production deployment on cloud and on-premises environments.
- Ability to lead technical initiatives, own complex workstreams, mentor engineers and data scientists, and provide technical direction.
- Ability to work directly with customers, communicate trade-offs to senior stakeholders, and influence roadmaps and product direction.
- Willingness to travel to customer sites for an average of 3–4 weeks per quarter.
Benefits
- Hybrid working model with 3 days per week in the Shoreditch office.
- Average travel to customer sites of 3–4 weeks per quarter across North America, Europe, Asia, and Oceania.
- Equity options and a 10% employer pension contribution.
- Free office lunches, enhanced parental leave, and the YellowNest nursery scheme.
- 25 days of annual leave plus public holidays.
- Private medical insurance with 100% employee cover, Wellhub subscription, eye tests, and an Employee Assistance Programme.
- Personal development support, Bike2Work scheme, season ticket loan, and Octopus EV salary sacrifice.
Categories
About PhysicsX
PhysicsX builds an AI-driven simulation software stack that enables high-fidelity, multi-physics modeling and optimization for engineering and manufacturing teams. The company sells software and delivery services to enterprises in aerospace and defense, automotive, semiconductors, materials, and energy. It is privately held and headquartered in London, with offices in London and New York.