Senior Machine Learning Engineer

PhysicsX – Senior Machine Learning Engineer

Location: City of London, United Kingdom
Type: Full‑time – Mid‑Senior level – Engineering & IT

Overview

PhysicsX is a deep‑tech company rooted in numerical physics and Formula One, dedicated to accelerating hardware innovation through software. We are building an AI‑driven simulation stack that empowers engineers across aerospace, defense, materials, energy and automotive to optimise design, manufacturing and operations.

Responsibilities

• Own the deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, time‑series forecasting, anomaly detection, optimisation & 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.
• Build robust and scalable ML systems, training and inference pipelines and APIs, running on cloud and on‑prem environments. Tech stack: 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 – average 3‑4 weeks per quarter – to collaborate closely with customers and build solutions on‑site.
• Own scoping of new projects and work‑streams with existing customers and participate in bringing new customers to PhysicsX.

Qualifications

• Post‑Masters or PhD with at least 3 years commercial industry experience (non‑research environment).
• Strong technical leader and problem solver with a track record of shipping ML systems end‑to‑end and at scale.
• Experience designing, building and testing reliable, scalable ML data pipelines and engineering surrogates for geometry‑aware modelling.
• Proficiency in Python; familiarity with PyTorch, Pandas, fastAPI, Scipy and Kubeflow is required.
• Excellent communication skills, capable of translating R&D outputs into reusable libraries, tooling and products.
• Demonstrated leadership and mentorship experience, comfortable guiding teams and influencing cross‑functional collaboration.

Benefits

• 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.

Equal Opportunity

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. 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.