Senior Machine Learning Engineer

PhysicsX; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Equity options

10% employer pension

Free office lunches

Enhanced parental leave

25 days annual leave

Private medical insurance

Cycle to work

Job summary

PhysicsX is hiring a Senior Machine Learning Engineer in Delivery to lead end-to-end ML model deployments, collaborate with customers and cross-functional teams, and shape scalable data pipelines for industrial applications.

You'll work with Python, PyTorch, and Kubeflow across cloud and on-prem environments, traveling to customer sites to deliver measurable impact and guide product direction with evidence.

Qualifications

• 3+ years industry experience in a commercial environment.
• Ability to lead complex ML deployments and mentor others.
• Experience embedding AI models into customer tools.

Responsibilities

• Own deployment of ML models and surrogates to customer environments.
• Define success metrics and influence product direction with data.
• Lead scoping and architecture for data/ML systems; build robust pipelines.
• Mentor engineers and data scientists; collaborate with customers on-site.

Skills

Leadership

Customer collaboration

ML pipelines

3D data experience

Tools

Python

PyTorch

Pandas

fastAPI

Scipy

Kubeflow

Job description

About us

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive.

Who We're Looking For

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.

This Role

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.

You’ll:

• 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 anaverage 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.

Our delivery teams drive innovation to turn AI models into practical solutions - read our blog to learn more about how you’ll contribute to this exciting journey!

We operate on a hybrid working model with 3 days in our Shoreditch office.

What we offer

Build what actually matters

Help shape an AI‑native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real‑world impact - and something you can be proud to stand behind.

Learn alongside exceptional people

Work with a high‑caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home.

Influence over hierarchy

We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected.

Sustainable pace, long‑term ambition

Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work‑from‑home days, giving you the flexibility to work sustainably while staying connected in person.

And it doesn’t stop there …

Equity options - share meaningfully in the company you’re helping to build.

10% employer pension contribution - because investing in future matters.

Free office lunches - to keep you energised and focused.

Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most.

YellowNest nursery scheme - to help working parents manage childcare costs.

25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters.

Private medical insurance - 100% employee cover, giving you complete peace of mind.

Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing.

Eye tests - because good work depends on good health.

Personal development - dedicated support for learning, development, and leveling up over time.

Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it.

Bike2Work scheme and Season ticket loan - to make getting to work easier and greener.

Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric.

Watch this space, we’re continuing to build this as we grow…

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.