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For Companies At a Glance
- Tasks: Research and develop cutting-edge ML algorithms for space networking.
- Company: Pioneering tech company transforming aerospace communication.
- Benefits: Remote work, competitive salary, health insurance, and equity options.
- Why this job: Join a team at the forefront of AI and space technology.
- Qualifications: MSc or PhD in relevant fields and strong Python skills required.
- Other info: Collaborative international environment with high-impact projects.
The predicted salary is between 36000 - 60000 £ per year.
Our client is a pioneering technology company delivering laser communications and temporospatial software-defined networking platforms to the aerospace and space industry. Leveraging technology originally developed at a major global tech firm, they are leading innovation in satellite, airborne, cislunar, and deep-space mesh networks. They are transforming how planetary-scale networks are orchestrated and managed across land, sea, air, and space.
The Role
Our client is looking for a Machine Learning Engineer to join their Spacetime team. This is a hybrid role combining ML research and engineering, focused on solving some of the most complex temporospatial networking and resource management problems in the industry. You will work at the cutting edge of AI-driven networking and space systems, collaborating with engineers, researchers, and customers globally.
Key Responsibilities
- Research and develop state-of-the-art ML algorithms for network orchestration
- Build and manage ML training infrastructure using Kubernetes and MLOps tools
- Develop and maintain documentation for new algorithms and systems
- Integrate AI/ML solutions into the wider Spacetime platform
- Act as a technical expert when engaging with customers on ML technologies
Required Skills & Experience
- MSc or PhD in Computer Science, Machine Learning, Mathematics, Statistics, or similar
- Strong Python programming skills
- Experience with PyTorch, TensorFlow, or optimisation libraries (e.g. Gurobi, OR-Tools)
- Strong technical communication and stakeholder engagement skills
- Ability to write clean, efficient, maintainable code
- Interest in explaining and presenting complex technology
Desirable
- Experience in satellite, wireless communications, or software-defined networking
- Background in technical sales or customer-facing engineering roles
- Experience writing tests for ML systems
- Experience with C, C++, or Go
Whats On Offer
- Remote working within the UK
- Competitive salary + pension + private health insurance + equity
- Work on world-leading space and AI technology
- High-impact projects in space-ground integration and AI-driven networks
- Collaborative, international research environment
Machine Learning Engineer Space & Satellite in City of London employer: Get2Talent
Contact Detail:
Get2Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer Space & Satellite in City of London
✨Tip Number 1
Network, network, network! Reach out to professionals in the aerospace and tech industries on platforms like LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your passion for machine learning and space technology.
✨Tip Number 2
Prepare for technical interviews by brushing up on your Python skills and familiarising yourself with ML algorithms. Practice coding challenges and be ready to explain your thought process clearly. Remember, they want to see how you think, not just the final answer!
✨Tip Number 3
Showcase your projects! If you've worked on any ML or space-related projects, make sure to highlight them in conversations. Having tangible examples of your work can really set you apart from other candidates.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals who are passionate about AI and space. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Machine Learning Engineer Space & Satellite in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with Python, ML algorithms, and any relevant projects you've worked on. We want to see how your skills align with our cutting-edge work in space technology!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI-driven networking and how your background makes you a great fit for our Spacetime team. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Technical Skills: Don’t forget to mention your experience with tools like PyTorch and TensorFlow. If you've worked with Kubernetes or MLOps, make sure to include that too! We’re looking for someone who can hit the ground running, so let us know what you bring to the table.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our innovative team in the aerospace and space industry!
How to prepare for a job interview at Get2Talent
✨Know Your ML Algorithms
Make sure you brush up on the latest machine learning algorithms, especially those relevant to network orchestration. Be ready to discuss how you've applied these in past projects or research, as this will show your depth of knowledge and practical experience.
✨Showcase Your Coding Skills
Since strong Python programming skills are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice writing clean, efficient code and be ready to explain your thought process as you go.
✨Engage with Technical Communication
This role requires strong technical communication skills, so think about how you can effectively explain complex concepts. Prepare examples of how you've successfully communicated technical information to non-technical stakeholders in the past.
✨Research the Company’s Innovations
Familiarise yourself with the company’s work in laser communications and temporospatial networking. Understanding their technology and recent projects will not only help you answer questions but also allow you to ask insightful ones, showing your genuine interest in their mission.
