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For Companies At a Glance
- Tasks: Develop cutting-edge machine learning algorithms for space communication systems.
- Company: Leading tech company transforming aerospace communications with innovative solutions.
- Benefits: Competitive pay, private health insurance, equity options, and flexible working arrangements.
- Why this job: Join a pioneering team shaping the future of planetary-scale communication technology.
- Qualifications: Experience in ML, wireless communication, and proficiency in Python required.
- Other info: Collaborative international environment with opportunities for career growth.
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
Applied Machine Learning Engineer in Cambridge employer: NPAworldwide
Contact Detail:
NPAworldwide Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Machine Learning Engineer in Cambridge
✨Tip Number 1
Network like a pro! Attend industry meetups, webinars, and conferences related to machine learning and aerospace tech. It's all about making connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those relevant to networking or satellite systems. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions related to ML algorithms and their applications in communication systems. Practice explaining complex concepts in simple terms – it’s key for technical communication roles!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by the right people.
We think you need these skills to ace Applied Machine Learning Engineer in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Applied Machine Learning Engineer. Highlight your experience with machine learning algorithms, especially in network orchestration and any relevant projects you've worked on. We want to see how your skills align with our client's needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the aerospace industry and how your background in ML can contribute to groundbreaking projects. Keep it engaging and personal – we love seeing your personality come through!
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python and any deep learning libraries you’ve used. If you have experience with Kubernetes or MLOps tooling, make sure to highlight that too! We’re looking for candidates who can hit the ground running.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re serious about joining our innovative team!
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 the aerospace industry.
✨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 latest trends in wireless communication and satellite systems. Being able to discuss how your skills align with the company's mission in transforming planetary-scale communication will set you apart.
✨Communicate Effectively
Since this role involves technical communication with customers and partners, practice explaining complex concepts in simple terms. Prepare examples of how you've successfully communicated technical information in previous roles.
