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 networking Previous involvement in
technical sales, demos, or product pitches Experience writing tests for software or ML algorithms Familiarity with
C,
C++, or
Go What’s on Offer
Opportunity to lead high-impact, innovative projects in space technology and digital infrastructure Competitive compensation, pension, private health insurance, and equity options Hybrid and flexible working arrangements (UK-based remote) Exposure to
AI-driven networks,
space-ground integration, and
cloud mission control 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
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
