Senior Machine Learning Engineer

PhysicsX; City Of London; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

A deep-tech company in London seeks a Senior Machine Learning Engineer to lead technical initiatives and work closely with customers. The ideal candidate has experience deploying ML models, building data pipelines, and mentoring engineers. This role offers equity options, flexible working arrangements, and extensive career development opportunities.

Benefits

Equity options

10% employer pension contribution

Free office lunches

Flexible working

Hybrid setup

Enhanced parental leave

Private healthcare

Personal development

Work from anywhere

Qualifications

• Senior Engineer with experience in ML systems end-to-end.
• Ability to design and build scalable ML data pipelines.
• Experience mentoring engineers and data scientists.

Responsibilities

• Lead deployment of ML models in customer environments.
• Communicate trade-offs and influence product direction.
• Define success metrics and drive quality standards.
• Travel to customer sites for collaboration.
• Own scoping of new projects with customers.

Skills

Experience with ML systems

Technical leadership

3D point-cloud manipulation

Building robust ML systems

Customer collaboration

Tools

Machine Learning Libraries

Data pipelines and APIs

Job description

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.

As a Senior Machine Learning Engineer in Delivery, you are an experienced problem solver and technical leader who stays anchored to impact. You will lead technical initiatives, and excel at working directly with customers 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.

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.

• Own the deployment of ML models and engineering surrogates 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.
• Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision-making under pressure.
• Travel to customer sites 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.

What we offer

• 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.