Machine Learning Engineer - Spacetime UK

Aalyria; City Of London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A leading technology company is seeking an experienced machine learning engineer for a hybrid role. The role involves applying cutting-edge machine learning algorithms to tackle complex networking challenges. Ideal candidates should have a master's or PhD in relevant fields, strong fluency in Python, and the ability to effectively communicate across functions. Competitive compensation and a dynamic environment are offered, along with opportunities to work on high-impact projects in the space technology sector.

Benefits

Competitive salary

Pension

Health insurance

Equity

Qualifications

• Masters or PhD degree in computer science, mathematics, or related to machine learning.
• Fluency in Python and deep learning libraries.
• Strong technical communication skills.

Responsibilities

• Research state-of-the-art machine learning algorithms.
• Develop ML training infrastructure using Kubernetes.
• Integrate AI technology with Spacetime platform components.

Skills

Fluency in Python

Machine learning algorithms

Deep learning libraries

Technical communication skills

C, C++, Go

Education

Masters or PhD degree in relevant fields

Tools

Kubernetes

PyTorch

TensorFlow

Gurobi

Job description

About Aalyria:

Aalyria is a leading technology company that supplies laser communications technology and temporospatial software-defined networking platforms to the aerospace industry. With technology acquired from Google, Aalyria is at the forefront of innovation in satellite and airborne mesh networks, as well as cislunar and deep-space communications. We are revolutionizing the orchestration and management of planetary mesh networks using any radio or optical spectrum, any orbit, and any hardware across land, sea, air, and space.

Role Overview:

Aalyria’s Spacetime team is seeking an experienced machine learning engineer for a hybrid role involving ML research and development. This role will involve applying cutting-edge machine learning algorithms to solve some of Spacetime’s most challenging temporospatial networking and resource management problems. The ideal candidate should demonstrate not only technical depth in machine learning but also the ability to communicate clearly with others at different levels of technical depth and across different functions.

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:

• Aalyria is unable to sponsor UK work visas at this time.
• Work Location: Remote working within the UK.

Aalyria is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, age, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Qualified applicants from all backgrounds are encouraged to apply.