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- Tasks: Create advanced AI workflows and real-time data analysis tools.
- Company: Join White Swan Data, a leader in innovative AI solutions.
- Benefits: Enjoy performance bonuses, health insurance, and more.
- Other info: Collaborative team culture with opportunities for growth.
- Why this job: Make an impact with cutting-edge AI technology in a dynamic environment.
- Qualifications: Strong Python skills and experience with AI and computer vision.
The predicted salary is between 50000 - 70000 £ per year.
White Swan Data is looking for an AI Software Engineer to develop advanced automation and visual data processing workflows. The role involves deep expertise in AI tools such as Claude Code, strong Python skills, and experience with computer vision frameworks.
Responsibilities include:
- Building AI workflows
- Developing real-time data analysis tools
- Managing databases
- Collaborating on production-grade solutions
The position offers various benefits, including performance bonuses and health insurance.
AI Software Engineer — Real-Time Vision & Data Pipelines employer: White Swan Data
Contact Detail:
White Swan Data Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Software Engineer — Real-Time Vision & Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI workflows and real-time data analysis. 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 your Python and computer vision frameworks. Practice coding challenges and be ready to discuss your past projects in detail. We want you to shine!
✨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 — Real-Time Vision & Data Pipelines
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in AI tools and Python in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your experience with computer vision frameworks!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention any relevant projects or experiences that demonstrate your ability to develop advanced automation and visual data processing workflows.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your passion for AI and data pipelines shines through without unnecessary fluff.
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’s super easy!
How to prepare for a job interview at White Swan Data
✨Know Your AI Tools
Make sure you brush up on your knowledge of AI tools like Claude Code. Be ready to discuss how you've used these tools in past projects, and think of specific examples where they made a difference in your work.
✨Show Off Your Python Skills
Since strong Python skills are crucial for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand.
✨Understand Computer Vision Frameworks
Familiarise yourself with various computer vision frameworks. Be prepared to explain how you've implemented them in previous projects, and think about any challenges you faced and how you overcame them.
✨Collaboration is Key
This role involves working with others to create production-grade solutions. Think of examples where you've successfully collaborated on projects, and be ready to discuss how you handle feedback and contribute to team dynamics.