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For Companies At a Glance
- Tasks: Develop cutting-edge machine learning algorithms for satellite communication systems.
- Company: Leading tech company transforming aerospace communications with innovative solutions.
- Benefits: Competitive pay, health insurance, equity options, and flexible hybrid work.
- Why this job: Join a pioneering team shaping the future of planetary-scale communication.
- Qualifications: Experience in ML, wireless communication, and proficiency in Python required.
- Other info: Collaborative international environment with opportunities for impactful projects.
The predicted salary is between 36000 - 60000 £ per year.
Our client is a leading technology company developing groundbreaking laser communications systems and software-defined networking platforms for the aerospace industry. With technology acquired from Google, they’re at the forefront of innovation in satellite and airborne mesh networks, cislunar, and deep-space communications transforming how the world connects across land, sea, air, and space.
The Opportunity
We’re looking for an experienced Machine Learning Engineer to join our client’s team in the UK. This is a hybrid role combining ML research and development, where you’ll apply cutting-edge algorithms to solve complex temporospatial networking and resource management challenges. You’ll work in a highly collaborative, international environment — developing real-world AI applications that help shape the future of planetary-scale communication systems.
Key Responsibilities
- Research and develop state-of-the-art machine learning algorithms for network orchestration problems
- Build and manage ML training infrastructure using Kubernetes clusters and modern MLOps tooling
- Write clear documentation and reports for novel algorithms developed by the team
- Integrate AI models with the broader Spacetime platform to ensure seamless functionality
- Act as a technical communication expert, interacting with customers and partners on ML-related technologies
Preferred Qualifications
- Experience in wireless communication, satellite systems, or software-defined networking
- Previous involvement in technical sales, demos, or product pitches
- Experience writing tests for software or ML algorithms
- Familiarity with C, C++, or Go
What’s on Offer
- Opportunity to lead high-impact, innovative projects in space technology and digital infrastructure
- Competitive compensation, pension, private health insurance, and equity options
- Hybrid and flexible working arrangements (UK-based remote)
- Exposure to AI-driven networks, space-ground integration, and cloud mission control
- Work alongside international research centres and technology partners in a forward-thinking, inclusive team
Eligibility
Applicants must have the right to work in the United Kingdom.
Equal Opportunity
Our client is proud to be an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace. We encourage applications from all qualified individuals, regardless of background, identity, or experience.
Master’s or PhD in Computer Science, Mathematics, Statistics, or a related ML discipline. Proficiency in Python and at least one deep learning library (PyTorch, TensorFlow) or optimisation library (Gurobi, CBC, Google OR-Tools). Strong technical communication skills and the ability to work across multi-disciplinary teams. Skilled in writing clean, maintainable, and efficient code. Enthusiasm for promoting innovative technology solutions.
Satellite Machine Engineer in Manchester employer: NPAworldwide
Contact Detail:
NPAworldwide Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Satellite Machine Engineer in Manchester
✨Tip Number 1
Network like a pro! Attend industry events, webinars, and meetups related to satellite technology and machine learning. Engaging with professionals in the field can open doors and lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning algorithms or satellite systems. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Don’t be shy about reaching out! If you see a role that excites you, connect with someone at the company on LinkedIn. A friendly message expressing your interest can make a big difference and might just get your foot in the door.
✨Tip Number 4
Apply through our website! We’ve got a streamlined application process that makes it easy for you to showcase your talents. Plus, we love seeing candidates who take the initiative to apply directly!
We think you need these skills to ace Satellite Machine Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Satellite Machine Engineer role. Highlight your experience with machine learning algorithms and any relevant projects you've worked on, especially those related to wireless communication or satellite systems.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of how you've used Python, deep learning libraries, or MLOps tooling in your previous roles. This will help us see your practical experience in action.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our mission in transforming communication systems. Keep it engaging and personal!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at NPAworldwide
✨Know Your 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 and how they can solve complex problems in satellite communications.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and any deep learning libraries like PyTorch or TensorFlow. You might be asked to solve a coding challenge, so practice writing clean and efficient code beforehand.
✨Understand the Industry
Familiarise yourself with the aerospace industry and the specific challenges it faces regarding satellite systems and software-defined networking. This will help you engage in meaningful conversations about how your skills can contribute to their innovative projects.
✨Communicate Effectively
Since this role involves technical communication with customers and partners, practice explaining complex concepts in simple terms. Being able to convey your ideas clearly will set you apart and show that you can work well in a collaborative environment.
