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- Tasks: Build and deploy cutting-edge AI perception systems across the full stack.
- Company: Exciting deep tech startup with a focus on applied perception AI.
- Benefits: Competitive salary, equity options, and visa sponsorship available.
- Why this job: Join an elite team solving real-world engineering challenges with innovative technology.
- Qualifications: 2-5 years of software engineering experience, strong in Python, and a customer-focused mindset.
- Other info: Opportunity for international travel and genuine ownership in your role.
The predicted salary is between 100000 - 150000 £ per year.
A very well-funded deep tech startup (£2m seed) working on applied perception AI. Small elite team (scaling significantly this year) solving frontier problems at the hardware-software boundary.
The Role
- Build and deploy AI perception systems across the full stack.
- Work in Python (AI) and Rust (systems/integration), occasionally touch hardware.
- Travel to customer sites to deploy solutions and gather feedback.
- This isn’t configuration work, it’s real engineering solving varied, client-driven problems.
What You’ll Do
- Build production AI perception systems.
- Deploy at customer sites (UK and international travel).
- Work across Python, Rust, and some hardware integration.
- Own problems end-to-end: customer conversation → production.
- Feed real-world insights back into product development.
Requirements
- 2-5 years software engineering experience.
- Strong Python, ideally Rust (or quick learner).
- Customer-facing mindset, comfortable with ambiguity.
- Hardware exposure a plus (embedded systems, FPGAs, cameras).
- Willing to travel.
Why Join
- Early hire with genuine ownership.
- Ex-Palantir team.
- Real engineering, not deployment grunt work.
- £120k–£150k + with Equity in the business.
- Visa sponsorship available.
For more information, please get in touch - it’s worth noting we have a number of similar roles in this area, so even if you aren’t a 100% match for the above, we have a number of other roles that could be a better fit.
Deployed Engineer in City of London employer: Durlston Partners
Contact Detail:
Durlston Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Deployed Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at startups or in AI. Use platforms like LinkedIn to connect and engage with them. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and Rust. 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 practicing common technical questions and customer-facing scenarios. Since this role involves real engineering and client interaction, being ready to discuss your problem-solving approach is key.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got a range of roles that might suit you, even if you’re not a perfect match for this one. Keep an eye on our listings and get your application in!
We think you need these skills to ace Deployed Engineer in City of London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let us see your enthusiasm for applied perception AI. Share any projects or experiences that highlight your interest and skills in this area. We love seeing candidates who are genuinely excited about the technology!
Tailor Your Experience: Make sure to customise your application to reflect the specific requirements of the Deployed Engineer role. Highlight your experience with Python and Rust, and don’t forget to mention any customer-facing roles you've had. We want to know how you can solve real-world problems!
Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to describe your skills and experiences. We appreciate a well-structured application that makes it easy for us to see why you’d be a great fit for our team.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re serious about joining our elite team!
How to prepare for a job interview at Durlston Partners
✨Know Your Tech Stack
Make sure you brush up on your Python and Rust skills before the interview. Be ready to discuss specific projects where you've used these languages, especially in building or deploying AI systems. This will show that you’re not just familiar with the tech but have real-world experience.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled complex engineering problems in the past. Think of examples where you’ve owned a project from start to finish, especially those involving customer interactions. This will highlight your ability to handle ambiguity and client-driven challenges.
✨Demonstrate Your Customer-Facing Mindset
Since this role involves travelling to customer sites, be ready to discuss how you’ve engaged with clients in previous roles. Share experiences where you gathered feedback and adapted solutions based on customer needs. This will show that you understand the importance of user insights in product development.
✨Be Ready for Technical Questions
Expect some technical questions that may involve coding challenges or system design scenarios. Practise explaining your thought process clearly and concisely. This will help the interviewers see how you approach engineering problems and your ability to communicate effectively.