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For Companies At a Glance
- Tasks: Research and develop cutting-edge ML algorithms for satellite 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 - Satellite in Oxford employer: Get2Talent
Contact Detail:
Get2Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - Satellite in Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the aerospace and tech industries on LinkedIn. Join relevant groups and participate in discussions to get your name out there. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to networking or space tech. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Machine Learning Engineer - Satellite in Oxford
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 what we're looking for!
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!
Showcase Your Projects: If you've worked on any cool projects related to ML or networking, make sure to mention them! Whether it's a GitHub repo or a paper you've published, we want to see your hands-on experience and creativity in action.
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 keen on joining our innovative team at StudySmarter!
How to prepare for a job interview at Get2Talent
✨Know Your Algorithms
Make sure you brush up on the latest ML algorithms relevant to network orchestration. Be ready to discuss how you've applied these in past projects, especially if they relate to temporospatial networking.
✨Showcase Your Coding Skills
Since strong Python 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 and efficient code beforehand.
✨Engage with Technical Communication
This role requires strong communication skills, so think about how you can explain complex concepts simply. Prepare examples of how you've successfully engaged with stakeholders or customers in the past.
✨Research the Company’s Innovations
Familiarise yourself with the company’s work in satellite and AI-driven networks. Being able to discuss their projects and how your skills can contribute will show your genuine interest and enthusiasm for the role.
