Senior Machine Learning Engineer

As a Senior Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple industries, lead technical initiatives, and excel at working directly with customers (and often side‑by‑side with them on‑site) to embed cutting‑edge AI models into tools that are useful and used. You've shipped ML systems end‑to‑end and at scale: you design, build and test reliable, scalable ML data pipelines; you know how to explore and manipulate 3D point‑cloud and mesh data to enable geometry‑aware modelling; you select the right libraries, frameworks and tools and make pragmatic product decisions that set Delivery up for success. Working at the intersection of data science and software engineering, you translate R&D and project outputs into reusable libraries, tooling and products. With at least 3 years industry experience (post Masters or PhD) in a commercial, non‑research environment, you're ready to not only execute but also lead and mentor others. You're truly excited about taking ownership of complex work streams and guiding teams to success, while continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving needs of our customers. As a Senior MLE, you'll work closely with our Data Scientists, Simulation Engineers, and customers to understand and define the engineering and physics challenges we are solving. You will iterate with customers and use your influence to drive decisions around reliable deployment with measurable outcomes.

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• 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.
  
• Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision‑making under pressure.
  
• Travel to customer sites in North America, Europe, Asia, Oceania, for an average of 3‑4 weeks per quarter, where you'll collaborate closely with customers to build solutions on‑site.
  
• Own the scoping of new projects and work‑streams with existing customers and taking part in bringing new customers to PhysicsX.
  
• As a senior member of the team, you'll significantly influence our technical direction and will be involved in shaping future solutions and products, while developing your skills as a technical leader.
  
• Equity options – share in our success and growth.
  
• 10% employer pension contribution – invest in your future.
  
• Free office lunches – great food to fuel your workdays.
  
• Flexible working – balance your work and life in a way that works for you.
  
• Hybrid setup – enjoy our new Shoreditch office while keeping remote flexibility.
  
• Enhanced parental leave – support for life's biggest milestones.
  
• Private healthcare – comprehensive coverage.
  
• Personal development – access learning and training to help you grow.
  
• Work from anywhere – extend your remote setup to enjoy the sun or reconnect with loved ones.
  

We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.