Machine Learning Research Engineer
Orbital· AI
Hybrid (London, UK)Full-timePosted 11mo ago
About the role
Machine Learning Research Engineer at Orbital Industries, an AI Industrial company, focused on architecting cutting-edge AI systems for multi-scale design of physical technologies and production-ready deployments.
Responsibilities
- Establish and maintain exceptionally high standards for code quality, system architecture and ML research and engineering practices through hands-on coding and technical review
- Design robust, well-engineered systems that others can build upon, balancing research velocity with production requirements
- Drive technical decisions on model selection, training approaches and deployment strategies
- Develop and deploy AI solutions across the entire technology development pipeline- computational chemistry simulations, agentic workflows and beyond
- Rapidly upskill in new technical areas through close collaboration with domain experts (no prior chemistry or materials experience required)
- Demonstrate strong implementation skills through hands-on development, contributing significantly to the codebase
- Balance research rigour with pragmatic engineering to deliver production-ready systems at scale
- Design and implement novel ML architectures for complex scientific domains, with work that meets publication standards at top-tier conferences
- Drive research projects from conception through to deployment, showing initiative and technical depth
- Engage continuously with the latest ML literature, staying current with developments in foundation models, generative AI and scientific machine learning
Qualifications
- Significant software engineering and ML experience, with depth in training, evaluating and deploying AI models - demonstrated through industry work
- Proven experience training, evaluating and productionising AI models at scale, with deep understanding of the full ML lifecycle from research to deployment
- Strong engineering fundamentals with the ability to write high-quality, maintainable code and architect robust systems
- A strong ability to reason about algorithms, system design, linear algebra, probabilistic concepts and ML engineering trade-offs
- An ability to debug complex machine learning systems through meticulous attention to detail, testing of edge cases and carefully selected ablations
- A genuine interest in building AI systems that enable breakthrough scientific and industrial applications
- Alignment with the quotes from Hamming's You and Your Research (inspiration and approach)
- Bonus: Experience with physics-informed or chemistry-focused AI applications. Experience building or fine-tuning large language models. Experience with agent-based systems, tool use or agentic workflows. Contributions to open-source ML projects or published research.
Skills
Required:Software engineeringML model development and deploymentSystem design and architectureAlgorithms, linear algebra, probabilistic reasoning
Benefits
- Orbital is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Last updated Sep 17, 2026. Interested? Apply on the company site.
About Orbital
Advanced Materials for Next-Gen Data Centers
Orbital builds next-gen data center products powered by AI-discovered advanced materials—solving industry’s hardest challenges with performance breakthroughs.
Data CentersAdvanced MaterialsAI
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