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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 flexible work options.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Be at the forefront of AI technology and make a significant impact.
- Qualifications: Strong Python skills and experience with AI and computer vision frameworks.
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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space, especially those who work with real-time vision and data pipelines. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI workflows and computer vision. This is your chance to demonstrate your Python prowess and how you tackle real-world problems.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of AI tools and frameworks. 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 noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace AI Software Engineer — Real-Time Vision & Data Pipelines in London
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. We love seeing candidates who take the time to connect their experiences to what we’re looking for in an AI Software Engineer.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your passion for developing advanced automation and visual data processing workflows shines through without any fluff!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details 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 about 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 how they can be applied to real-time data analysis.
✨Collaboration is Key
This role involves working with others, so be ready to discuss your experience in team settings. Share examples of how you've collaborated on production-grade solutions and how you handle feedback and challenges within a team.