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- Tasks: Build and scale AI systems while tackling thousands of developer queries daily.
- Company: Leading AI tech firm in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace with exciting challenges ahead.
- Why this job: Join a dynamic team and make a real impact in the AI and ML space.
- Qualifications: Degree in a relevant field and 3+ years of software engineering experience.
The predicted salary is between 50000 - 60000 £ per year.
A leading AI technology firm in the United Kingdom is seeking a Software Engineer to work across the stack on their systems, addressing thousands of developer questions daily. The role involves scaling infrastructure, experimenting with new features, and maintaining client integrations using Python and React.
Candidates should have a degree in a relevant field and 3+ years of experience in software engineering, particularly with machine learning and deep learning. They value contributions from diverse backgrounds.
Full-Stack Software Engineer — AI & ML Systems in London employer: kapa.ai
Contact Detail:
kapa.ai Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full-Stack Software Engineer — AI & ML Systems in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and ML space on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and React. We want to see how you tackle real-world problems, so make sure to highlight any machine learning or deep learning work you've done.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and algorithms. We recommend practicing on platforms like LeetCode or HackerRank. The more comfortable you are with problem-solving, the better you'll perform when it counts!
✨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 the initiative to connect directly with us.
We think you need these skills to ace Full-Stack Software Engineer — AI & ML Systems in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and React, as well as any work you've done in AI and ML. We want to see how your skills match up with what we're looking for!
Showcase Your Projects: Include links to any relevant projects or GitHub repositories that demonstrate your full-stack capabilities. We love seeing practical examples of your work, especially if they involve machine learning!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about AI and ML systems. Share your journey in software engineering and how you can contribute to our team. We appreciate a personal touch!
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 kapa.ai
✨Know Your Tech Stack
Make sure you’re well-versed in Python and React, as these are crucial for the role. Brush up on your knowledge of machine learning and deep learning concepts, and be ready to discuss how you've applied them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some coding challenges during the interview. Practice common algorithms and data structures, and think aloud while solving problems to demonstrate your thought process. This will show your analytical skills and how you approach complex issues.
✨Understand the Company’s Mission
Research the firm’s AI technology and their impact on developer communities. Be prepared to discuss how your background and experiences align with their goals, and think about how you can contribute to scaling their infrastructure and enhancing client integrations.
✨Diversity Matters
Since they value contributions from diverse backgrounds, don’t hesitate to share your unique perspective. Think about how your experiences can bring a fresh viewpoint to the team, and be ready to discuss any challenges you've overcome in your career.