Our client is a leading technology company developing groundbreaking laser communications systems and software-defined networking platforms for the aerospace industry. With technology acquired from Google, they’re at the forefront of innovation in satellite and airborne mesh networks , cislunar , and deep-space communications transforming how the world connects across land, sea, air, and space.
The Opportunity
We’re looking for an experienced Machine Learning Engineer to join our client’s team in the UK. This is a hybrid role combining ML research and development, where you’ll apply cutting-edge algorithms to solve complex temporospatial networking and resource management challenges.
You’ll work in a highly collaborative, international environment — developing real-world AI applications that help shape the future of planetary-scale communication systems.
Key Responsibilities
- Research and develop state-of-the-art machine learning algorithms for network orchestration problems
- Build and manage ML training infrastructure using Kubernetes clusters and modern MLOps tooling
- Write clear documentation and reports for novel algorithms developed by the team
- Integrate AI models with the broader Spacetime platform to ensure seamless functionality
- Act as a technical communication expert , interacting with customers and partners on ML-related technologies
Preferred Qualifications
Experience in wireless communication , satellite systems , or software-defined networkingPrevious involvement in technical sales , demos, or product pitchesExperience writing tests for software or ML algorithmsFamiliarity with C , C++ , or GoWhat’s on Offer
Opportunity to lead high-impact, innovative projects in space technology and digital infrastructureCompetitive compensation, pension, private health insurance, and equity optionsHybrid and flexible working arrangements (UK-based remote)Exposure to AI-driven networks , space-ground integration , and cloud mission controlWork alongside international research centres and technology partners in a forward-thinking, inclusive teamEligibility
Applicants must have the right to work in the United Kingdom .
Equal Opportunity
Our client is proud to be an Equal Opportunity Employer , committed to fostering an inclusive and diverse workplace. We encourage applications from all qualified individuals, regardless of background, identity, or experience.
Python,Python Software Foundation,Space,Network Analyzer
Master’s or PhD in Computer Science, Mathematics, Statistics, or a related ML disciplineProficiency in Python and at least one deep learning library ( PyTorch , TensorFlow ) or optimisation library ( Gurobi , CBC , Google OR-Tools )Strong technical communication skills and the ability to work across multi-disciplinary teamsSkilled in writing clean, maintainable, and efficient codeEnthusiasm for promoting innovative technology solutions