Aalyria Technologies, Inc.

Machine Learning Engineer- Spacetime UK

Vaga remota de Machine Learning Engineering com fit claro de localização do candidato.

Publicada18 de jul. de 2026

Países elegíveis1 país aceito

Sinal de senioridadeMiddle

Modelo de trabalhoRemoto

Locais aceitos para candidatos

Reino Unido

Resumo da vaga

Conteúdo da vaga extraído em seções para revisão mais rápida.

Research state-of-the-art machine learning algorithms to solve network orchestration problems.
Develop machine learning training infrastructure using kubernetes clusters, and managing MLOps tooling.
Develop and maintain documentation related to novel algorithms developed by the team.
Integrate AI technology with other components of the Spacetime platform to ensure end-to-end functionality.
Interact with potential and existing customers on a regular basis, serving as a technical communication expert for machine learning related technologies developed at Spacetime.

Masters or PhD degree in computer science, mathematics, statistics, or other fields related to machine learning.
Fluency in Python and at least one deep learning library (e.g. PyTorch, TensorFlow) or mathematical optimization library (e.g. Gurobi, CBC, Google OR tools)
Strong technical communication skills, and ability to communicate across multiple functions.
Ability to write clean, maintainable, and efficient code.
A strong desire to pitch and sell our amazing technology!

Experience working in the wireless communication, satellite communications and/or software defined networking space.
Prior experience working in technical sales and/or pitching new products.
Experience writing tests for both software and machine learning algorithms.
Experience with one or more of: C, C++, Go.

Opportunity to lead high-impact, innovative projects in the space technology and digital infrastructure domain.
A dynamic, international environment collaborating with leading research centres and industrial partners.
Competitive compensation package based on experience.
Hybrid working policy with flexible arrangements.
Exposure to cutting-edge technologies in space-ground integration, AI-driven networks, and cloud mission control.