At a Glance
- Tasks: Build and optimise AI workflows, develop computer vision tools, and manage databases.
- Company: Join White Swan Data, a dynamic team in London focused on productive AI solutions.
- Benefits: Performance bonus, 25 days holiday, private health insurance, and gym membership.
- Why this job: Make an impact in AI while working with cutting-edge technology and a collaborative team.
- Qualifications: Expertise in Claude Code and strong Python skills required.
The predicted salary is between 50000 - 65000 € per year.
White Swan Data is seeking an AI Software Engineer in London, UK. The ideal candidate should have expertise in Claude Code and strong Python skills. You'll be responsible for building and optimising AI workflows, developing computer vision tools, and managing databases.
Benefits include:
- a performance bonus
- 25 days annual holiday
- private health insurance
- a gym membership
Join a dynamic team focused on productive AI solutions.
AI Software Engineer - Computer Vision & Data Pipelines employer: White Swan Data
White Swan Data is an exceptional employer, offering a vibrant work culture in the heart of London where innovation thrives. With a strong focus on employee growth, you will have access to cutting-edge projects in AI and computer vision, alongside generous benefits such as a performance bonus, 25 days of annual leave, private health insurance, and a gym membership. Join us to be part of a dynamic team dedicated to creating impactful AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Software Engineer - Computer Vision & Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space, especially those who work with computer vision. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI workflows and computer vision tools. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and Claude Code. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨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 seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace AI Software Engineer - Computer Vision & Data Pipelines
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your expertise in Claude Code and Python in your application. We want to see how your skills can contribute to building and optimising AI workflows!
Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect your experience with computer vision tools and database management. We love seeing how you fit into our dynamic team.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication that gets right to the heart of your qualifications and experiences.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to review your application and get back to you quickly!
How to prepare for a job interview at White Swan Data
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get familiar with Claude Code. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've built or optimised AI workflows in the past. Think of examples that highlight your ability to develop computer vision tools and manage databases effectively. Real-world scenarios will impress the interviewers!
✨Understand the Company’s Vision
Research White Swan Data and their focus on productive AI solutions. Knowing their mission and recent projects can help you align your answers with their goals, showing that you're genuinely interested in being part of their dynamic team.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the role and the team. This could be about their current AI projects or how they measure success in their workflows. It shows you're engaged and eager to contribute to their success.
