Aalyria Technologies, Inc.
Machine Learning Engineer- Spacetime UK
Remote Machine Learning Engineering role with clear candidate location fit.
PostedJul 18, 2026
Eligible countries1 accepted country
Seniority signalMiddle
Work settingRemote
Accepted candidate locations
United Kingdom
Role overview
Machine Learning Engineer- Spacetime UK
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Key Responsibilities:
- 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.
Required Qualifications:
- 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!
Preferred Qualifications:
- 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.
What We Offer:
- 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.
Benefits:
- Competitive salary
- Pension
- Health insurance
- Equity
Work Requirements & Location:
- Applicants must have the right to work in the United Kingdom.
- Work Location: Remote working within the UK.
Similar roles
Keep a backup shortlist.
Kubernetes, Python 1 accepted country
Lead Platform EngineerAppianView role Kubernetes, Python 13 accepted countries
Senior Backend Engineer (AdTech)Leap ToolsView role Kubernetes, Python 13 accepted countries
Senior Backend EngineerLeap ToolsView role Kubernetes 1 accepted country
Senior Software Engineer (Java)AppianView role Stack
Use these tags to compare similar remote roles.
Location eligibility
Candidates should apply only when their profile country is listed here.
Your profileCountry not setSign in to check your country against this role.
Hiring flow
WithMira shows the role, then sends candidates to the company application.
1Check role fit, stack, and location eligibility in WithMira.
2Open the company application page from the tracked apply link.
3Save the role or subscribe for similar opportunities before leaving.