About the Role

Job Title: Machine Learning Engineer
Location: London, England, United Kingdom
Employment Type: Full-time
Department: unspecified
Workplace Type: Hybrid

What You Will Do

• Work closely with simulation engineers, data scientists, and customers to understand the physics and engineering challenges being solved.
• Design, build, and test reliable, scalable, and easily deployable data pipelines for machine learning.
• Explore and manipulate 3D point cloud and mesh data.
• Own the delivery of technical workstreams.
• Create analytics environments and resources in the cloud or on-premise, spanning data engineering and science.
• Identify the best libraries, frameworks, and tools for tasks; make product design decisions for success.
• Work at the intersection of data science and software engineering to translate R&D results into reusable libraries, tooling, and products.
• Continuously apply and improve engineering best practices and standards; coach colleagues in their adoption.

What You Bring To The Table

• Experience applying machine learning methods (including 3D graph/point cloud deep learning methods) to real-world engineering applications, focusing on measurable impact in industry settings.
• A track record of scoping and delivering projects in a customer-facing role.
• 2+ years’ experience in a data-driven role, with exposure to software engineering concepts and best practices (e.g., versioning, testing, CI/CD, API design, MLOps).
• Experience building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., TensorFlow, MLFlow).
• Familiarity with distributed computing frameworks (e.g., Spark, Dask).
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and high-performance computing.
• Knowledge of containerization and orchestration (Docker, Kubernetes).
• Strong problem-solving skills with the ability to analyze issues, identify causes, and recommend solutions quickly.
• Excellent collaboration and communication skills with teams and customers.
• A background in Physics, Engineering, or equivalent.

What We Offer

• Be part of something larger: Make an impact and meaningfully shape an early-stage company.
• Work with a supportive and challenging group of colleagues from diverse backgrounds.
• Experience a truly flat hierarchy where voicing ideas is encouraged.
• Work sustainably, balancing work and personal life.
• Receive a competitive compensation and equity package, along with generous vacation and parental leave, complimentary office food, and fun outings and events.
• Work in a flexible setting, with opportunities to collaborate in our Shoreditch office and work from home.
• Use first-class equipment for working in-office or remotely, including high-performance computing.