Machine Learning Engineer - Spacetime UK

Machine Learning Engineer - Spacetime UK

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Dormont Manufacturing Co

At a Glance

  • Tasks: Join us to develop cutting-edge machine learning solutions for space technology challenges.
  • Company: Aalyria, a leader in laser communications and networking for aerospace.
  • Benefits: Competitive salary, pension, health insurance, equity, and flexible hybrid working.
  • Other info: Dynamic international team with opportunities for career growth and innovation.
  • Why this job: Make an impact in the exciting field of space technology and AI-driven networks.
  • Qualifications: Masters or PhD in relevant fields, fluency in Python, and strong communication skills.

The predicted salary is between 60000 - 80000 £ per year.

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.

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 manage 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.

Equal Opportunity Employer Statement:

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.

Machine Learning Engineer - Spacetime UK employer: Dormont Manufacturing Co

Aalyria is an exceptional employer, offering a unique opportunity to work at the cutting edge of space technology and digital infrastructure. With a dynamic and inclusive work culture, employees benefit from competitive compensation, flexible hybrid working arrangements, and the chance to collaborate with leading research centres and industrial partners. The company prioritises employee growth through exposure to innovative projects and advanced technologies, making it an ideal place for those seeking meaningful and rewarding careers in machine learning and aerospace.

Dormont Manufacturing Co

Contact Details:

Dormont Manufacturing Co Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Machine Learning Engineer - Spacetime UK

Tip Number 1

Network like a pro! Reach out to people in the aerospace and machine learning fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.

Tip Number 2

Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to networking or AI. This will give potential employers a taste of what you can do.

Tip Number 3

Prepare for interviews by brushing up on your technical communication skills. Practice explaining complex concepts in simple terms, as you'll need to communicate with folks from different backgrounds.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.

We think you need these skills to ace Machine Learning Engineer - Spacetime UK

Machine Learning Algorithms
Kubernetes
MLOps Tooling
Python
Deep Learning Libraries (e.g. PyTorch, TensorFlow)
Mathematical Optimization Libraries (e.g. Gurobi, CBC, Google OR tools)
Technical Communication Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with ML algorithms, Python, and any relevant projects that showcase your skills. We want to see how you fit into our world!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about machine learning and how your background aligns with our mission at Aalyria. Let us know what excites you about working in the aerospace industry.

Showcase Your Communication Skills:Since this role involves interacting with various teams and customers, make sure to demonstrate your technical communication skills in your application. We love candidates who can break down complex concepts into simple terms!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own channels!

How to prepare for a job interview at Dormont Manufacturing Co

Know Your Algorithms

Make sure you brush up on the latest machine learning algorithms relevant to network orchestration. Be ready to discuss how you've applied these in past projects, and think about how they could be used at Aalyria.

Show Off Your Coding Skills

Since you'll need to write clean and efficient code, practice coding challenges in Python and get comfortable with libraries like PyTorch or TensorFlow. You might even want to prepare a small project to showcase your skills during the interview.

Communicate Clearly

Aalyria values strong technical communication skills, so practice explaining complex concepts in simple terms. Think about how you can convey your ideas to both technical and non-technical audiences.

Prepare for Technical Sales Questions

Since the role involves interacting with customers, be ready to discuss how you would pitch Aalyria's technology. Think about what makes their solutions unique and how you can effectively communicate that value to potential clients.