Machine Learning Engineer

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.

Note: We are currently recruiting for multiple positions; please apply for the role that best aligns with your skillset and career goals.

As a Machine Learning Engineer in Delivery, you are a problem solver and builder who is passionate about creating practical solutions that enable customers to make better engineering decisions. You grasp advanced engineering concepts across multiple industries and excel at working directly with customers (often side-by-side on-site) to build, deploy and maintain production-grade ML tools that are useful and used. You design, build, and test reliable, scalable machine learning pipelines, and you know when to explore and manipulate 3D point-cloud and mesh data to enable geometry-aware modelling. You create analytics environments and resources in the cloud/on-prem that span data science, selecting the right libraries, frameworks and tools while making pragmatic product decisions that set delivery up for success. You thrive at the intersection of data science and software engineering, translating project outputs into tooling and products.

With at least 1 year industry experience (post Masters or PhD) in a commercial, non-research environment, you’re ready to hit the ground running. You’re excited about growing your technical expertise and are inclined to take ownership of ML engineering pipelines, continuously improving systems and solutions to ensure they are practical, impactful and meet evolving customer needs.

• Designing, building and testing data/ML pipelines that are reliable, scalable and easily deployable in production environments.
• Productionising ML models and surrogates with clear validation and error analysis.
• Exploring and manipulating 3D point-cloud and mesh data, applying graph/geometry-aware techniques where appropriate.
• Working closely with simulation engineers to ensure seamless integration of data science models with simulations.
• Engaging in open communication and presentation with both technical teams and customers, helping onboard users and co-develop with customers.
• Travel to customer sites in North America, Europe, Asia, Oceania (average 2–3 weeks per quarter) to collaborate closely with customers on site.

• 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 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.

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: Software Development