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- Tasks: Design and build scalable systems using machine learning and modern software engineering.
- Company: Global tech company with a bold mission and remote-first culture.
- Benefits: Competitive salary, benefits, and strong support for professional growth.
- Why this job: Make a real-world impact while collaborating with smart, passionate teammates.
- Qualifications: Experience in ML, systems design, and leading complex technical projects.
- Other info: Enjoy huge autonomy and the chance to shape the company's future.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Hi everyone! I’m currently hiring for a Staff Engineer to join a global tech company. This role is ideal for someone who lives at the intersection of machine learning and strong software engineering, and wants to build real-world systems that make a difference.
What You’ll Be Doing:
- Designing & building scalable systems from ML pipelines to microservices and APIs
- Collaborating across teams, engineering, product, data, and more
- Leading by example as a senior individual contributor, mentoring others and setting technical direction
- Working with cloud infrastructure (GCP preferred), security-first architecture, and modern dev practices
What They’re Looking For:
- ML-native thinking
- Strong systems design, architecture, and a clear, pragmatic communication style
- Experience leading complex technical projects or products, either in a company, startup, or open-source community
âś… A bold mission with global impact
âś… Remote-first setup (EST to CET)
âś… Smart, passionate teammates and huge autonomy
âś… Competitive salary, benefits, and strong support for professional growth
✅ The chance to “re-found” a company at a pivotal moment in its evolution
If this sounds like something you’d thrive in, or even if you’re just curious, I’d love to chat and tell you more. Feel free to apply here or drop me a message directly.
Staff Engineer employer: Cavendish Professionals
Contact Detail:
Cavendish Professionals Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those who work in machine learning or software engineering. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ML pipelines or scalable systems. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your systems design and architecture knowledge. Be ready to discuss your past experiences leading complex projects and how you’ve collaborated with cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are eager to make an impact in the tech world.
We think you need these skills to ace Staff Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Staff Engineer role. Highlight your machine learning expertise and software engineering projects to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about building scalable systems and how your experience fits into our mission. Be genuine and let your personality shine through!
Showcase Your Projects: If you've led complex technical projects, don’t hold back! Share specific examples in your application that demonstrate your leadership and problem-solving skills. We love seeing real-world impact!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Cavendish Professionals
✨Know Your Tech Inside Out
Make sure you’re well-versed in machine learning concepts and software engineering principles. Brush up on your knowledge of scalable systems, ML pipelines, and APIs, as these will likely come up during the interview.
✨Showcase Your Collaboration Skills
Since this role involves working across various teams, be prepared to discuss your experience collaborating with product, data, and engineering teams. Share specific examples where your communication style helped bridge gaps or led to successful project outcomes.
✨Demonstrate Leadership Experience
Even if you're applying as an individual contributor, highlight any leadership roles you've taken on. Talk about how you've mentored others or set technical direction in past projects, as this shows you can lead by example.
✨Familiarise Yourself with Cloud Infrastructure
If GCP is preferred, make sure you understand its features and benefits. Be ready to discuss how you’ve used cloud infrastructure in previous roles, especially in relation to security-first architecture and modern development practices.
