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
1. Research and develop state-of-the-art machine learning algorithms for network orchestration problems
2. Build and manage ML training infrastructure using Kubernetes clusters and modern MLOps tooling
3. Write clear documentation and reports for novel algorithms developed by the team
4. Integrate AI models with the broader Spacetime platform to ensure seamless functionality
5. Act as a technical communication expert, interacting with customers and partners on ML-related technologies
Preferred Qualifications
6. Experience in wireless communication, satellite systems, or software-defined networking
7. Previous involvement in technical sales, demos, or product pitches
8. Experience writing tests for software or ML algorithms
9. Familiarity with C, C++, or Go
What’s on Offer
10. Opportunity to lead high-impact, innovative projects in space technology and digital infrastructure
11. Competitive compensation, pension, private health insurance, and equity options
12. Hybrid and flexible working arrangements (UK-based remote)
13. Exposure to AI-driven networks, space-ground integration, and cloud mission control
14. Work alongside international research centres and technology partners in a forward-thinking, inclusive team
Eligibility
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
15. Master’s or PhD in Computer Science, Mathematics, Statistics, or a related ML discipline
16. Proficiency in Python and at least one deep learning library (PyTorch, TensorFlow) or optimisation library (Gurobi, CBC, Google OR-Tools)
17. Strong technical communication skills and the ability to work across multi-disciplinary teams
18. Skilled in writing clean, maintainable, and efficient code
19. Enthusiasm for promoting innovative technology solutions