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Senior Machine Learning Engineer

PhysicsX· Delivery
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Hybrid (London, United Kingdom)Full-timePosted 11mo ago

About the role

Senior ML Engineer in Delivery responsible for end-to-end ML deployment, leading technical initiatives, and mentoring others while embedding AI models into customer-facing tools across industries.

Responsibilities

  • 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 (Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others).
  • Mentor and develop engineers and data scientists; provide technical direction and calm decision-making under pressure.
  • Travel to customer sites in North America, Europe, Asia, Oceania for an average of 3-4 weeks per quarter to collaborate on-site.
  • Own the scoping of new projects and work-streams with existing customers and participate in bringing new customers to PhysicsX.

Qualifications

  • At least 3 years industry experience (post Masters or PhD) in a commercial, non-research environment.
  • Experience shipping ML systems end-to-end and at scale; ability to translate R&D outputs into reusable libraries, tooling, and products.

Skills

Required:Deployment of ML modelsMachine learning systemsCloud and on-prem deploymentLeadership and mentorship
Nice to have:3D point-cloud and mesh data processing

Benefits

  • Equity options
  • 10% employer pension contribution
  • Free office lunches
  • Enhanced parental leave: 3 months full pay paternity and 6 months full pay maternity leave
  • YellowNest nursery scheme
  • 25 days of Annual Leave (+ Public Holidays)
  • Private medical insurance (100% employee cover)
  • Wellhub Subscription for wellbeing
  • Eye tests
  • Personal development support
  • Employee Assistance Programme (EAP)
  • Bike2Work scheme and Season ticket loan
  • Octopus EV salary sacrifice
Last updated Sep 23, 2026. Interested? Apply on the company site.

About PhysicsX

Accelerating Industrial Innovation with AI

PhysicsX is deploying AI to transform how physical systems are engineered, embedding intelligence across the entire product lifecycle, from concepting and design to manufacturing and operations.

AIIndustrial InnovationDesignManufacturingOperationsAI ToolsProduct Lifecycle
Company profileWebsite

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