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 remote work.
- Other info: Dynamic international team with opportunities for innovation and career growth.
- Why this job: Make an impact in the exciting field of space technology and AI-driven networks.
- Qualifications: Masters or PhD in relevant fields, Python fluency, and strong communication skills.
The predicted salary is between 70000 - 90000 £ 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 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.
- Competitive salary
- Pension
- Health insurance
- Equity
Applicants must have the right to work in the United Kingdom. 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.
Machine Learning Engineer - Spacetime UK employer: aalyria-careers
Aalyria is an exceptional employer, offering a unique opportunity to work at the cutting edge of space technology and digital infrastructure. With a dynamic international environment, employees benefit from flexible hybrid working arrangements, competitive compensation, and the chance to lead innovative projects that shape the future of communication in aerospace. The company fosters a culture of inclusivity and collaboration, ensuring that every team member can thrive and grow in their career while contributing to groundbreaking advancements.
StudySmarter Expert Advice🤫
We think this is how you could land Machine Learning Engineer - Spacetime UK
✨Join Aerospace Forums and Groups
Get involved in aerospace engineering forums and online communities, like the AIAA (American Institute of Aeronautics and Astronautics). It's a great way to meet industry peers and stay updated on job openings and trends in the field.
✨Attend Industry Conferences
Keep an eye on upcoming aerospace conferences and events where you can network with professionals and showcase your interest. Events like the Farnborough International Airshow are not just about flying machines; they're a goldmine for connections and potential job leads.
✨Spotlight Your Projects
Make sure to highlight any hands-on experience or projects on your portfolio that showcase your skills in aerospace engineering. Employers love seeing practical applications of theoretical knowledge. Show us what you've got!
✨Apply Directly on Company Websites
When you find companies you want to work for, head straight to their careers page to apply for full-time roles, like the one with aalyria-careers for a Machine Learning Engineer - Spacetime UK. This often puts your application in front of the right people faster than just waiting for job boards!
We think you need these skills to ace Machine Learning Engineer - Spacetime UK
Some tips for your application 🫡
Show Off Your Technical Skills:When applying for the aerospace engineering role at aalyria-careers, make sure to highlight your technical expertise. Include specific software skills, like CAD tools or simulation software, and any relevant engineering projects you’ve worked on. This is your chance to really shine and showcase your engineering toolkit!
Don't Skip Your Projects!:Include a section in your CV dedicated to projects that demonstrate your problem-solving abilities in aerospace engineering. Whether it's a university project, an internship, or personal work, we love seeing how you’ve applied your skills in real-world scenarios. Make it clear what your role was and the impact of the project.
Show Your Passion in Your Cover Letter:At aalyria-careers, we're not just looking for skills – we want to know why you’re passionate about aerospace engineering. Use your cover letter to express what excites you about aviation technology and your career goals. Share any relevant experiences or inspirations that have led you to apply for this full-time position.
Tailor Your CV for Aerospace:Make sure your CV is specifically tailored to aerospace engineering. Focus on your education, any certifications, and your work experience, ensuring you highlight aspects that relate directly to the role. Don’t forget to mention any internships or apprenticeships that have given you hands-on experience.
How to prepare for a job interview at aalyria-careers
✨Brush Up on Your Technical Knowledge
Aerospace engineering is all about technical precision, so make sure you’re comfortable with key concepts like aerodynamics, propulsion, and materials science. We recommend going through any relevant coursework or projects you’ve worked on – these real-world examples can illustrate your understanding during the interview with aalyria-careers.
✨Showcase Your Projects with Confidence
Make sure to have a portfolio ready that details any significant projects you've worked on, whether it’s a group assignment or a personal endeavour. Be prepared to discuss the challenges you faced, the tools you used, like CAD software, and what you learned from the experience, as this will show your problem-solving skills in action.
✨Prepare for Technical Interviews
Expect some technical questions or even problem-solving exercises during your interview with aalyria-careers. Get familiar with design challenges or theoretical problems related to aerospace; this can range from calculating lift and drag forces to materials selection under stress. Practising these can help you feel more at ease when faced with tricky questions.
✨Emphasise Your Passion and Teamwork Skills
As a full-time candidate, it’s crucial to convey your passion for aerospace engineering and your ability to work in teams. Highlight any group projects or internships you've done, focusing on how you collaborated with others to achieve a goal. Companies like aalyria-careers love seeing candidates who not only have technical skills but also fit well within their team culture.
