Machine Learning Engineer

Orbital Materials
London
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Collaboration","Communication","Problem-solving","Attention to detail","Teamwork"]

Senior ML Engineer responsible for architecting and delivering scalable AI systems for multi-scale design of physical technologies, including foundation models for atom-level and macro-scale simulations. Will set high engineering standards, drive model selection and deployment, collaborate with domain experts, and push ML research from concept to production across diverse AI-driven hardware projects.

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FursaFursa
Orbital Materials
Orbital Materials
5 months ago

Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live

Job Summary

Senior ML Engineer responsible for architecting and delivering scalable AI systems for multi-scale design of physical technologies, including foundation models for atom-level and macro-scale simulations. Will set high engineering standards, drive model selection and deployment, collaborate with domain experts, and push ML research from concept to production across diverse AI-driven hardware projects.
Location: London
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Set the technical bar for code quality, system architecture and ML practices through hands-on coding and review
  • •Design robust, well-engineered systems that balance research velocity with production requirements
  • •Drive technical decisions on model selection, training approaches and deployment strategies
  • •Develop and deploy AI solutions across the technology development pipeline (e.g., computational chemistry simulations, agentic workflows)
  • •Demonstrate hands-on development and contribute significantly to the codebase

Key Requirements

  • •5+ years of professional experience in ML/AI research or engineering OR a PhD with 2 years of ML/AI experience
  • •Proven experience training, evaluating and productionising AI models at scale across the full ML lifecycle
  • •Strong engineering fundamentals with the ability to write high-quality, maintainable code and architect robust systems
  • •Ability to reason about algorithms, linear algebra, probabilistic concepts and ML engineering trade-offs
  • •Attention to detail in debugging complex ML systems and robust ablation testing
Experience:5+ yearsAIIndustrialHardware
Skills:CollaborationCommunicationProblem-solvingAttention to detailTeamwork

Company Brief

Orbital Materials
Designs and develops hardware and materials for orbital applications, focusing on modular spacecraft components, deployable habitats, and technologies that support on‑orbit operations, manufacturing, and logistics for commercial and government space missions.
Industry: Space Technology
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