At a Glance
- Tasks: Build and run large-scale data systems for cutting-edge AI applications.
- Company: Join Encord, a leading data platform for AI innovation.
- Benefits: Competitive salary, flexible work options, and hands-on learning opportunities.
- Other info: Fast-paced environment with opportunities to learn and grow in AI.
- Why this job: Dive into the future of AI and make an impact on robotics and self-driving tech.
- Qualifications: Fluency in Python or TypeScript; experience with production services is a plus.
The predicted salary is between 59400 - 72600 £ per year.
The role asks for someone who has built and run large scale data systems from scratch, with strong core computer science knowledge and fluency in Python or Type Script plus one of Rust, C++, Java or Go.
A strong candidate brings hands on experience owning production services, reasoning about failure modes and load, and a record of fast learning in demanding settings.
Prior work at a trading firm or exchange is helpful but not required.
How it fits the AI era
AI changes the work by making the data itself the hard problem: huge 3D scenes, long videos and sensor streams must be processed correctly and quickly to train physical AI systems.
The human part stays in designing reliable distributed systems, judging tradeoffs and owning what ships.
Curiosity and fast learning matter more than prior ML experience.
How it builds AI experience
The role offers direct exposure to the data pipelines behind robotics and physical AI, including large scale video, LIDAR and ML inference workloads.
Someone can build relevant experience by working on distributed data systems, performance tuning and production ownership.
Prior AI or ML knowledge is not required, so learning happens on the job.
- Worth showing
- Python or Type Script fluency
- Production service ownership
- Fast learning under pressure
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About Encord
A data platform that helps AI teams manage, label and clean the video, sensor and image data that trains robots, self-driving cars and other physical AI systems.
Quant Developer in AI in London employer: present of AI
H Company is an exceptional employer for Product Designers, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth, the company encourages continuous learning and experimentation, particularly in the evolving field of AI design. The inclusive culture fosters open communication with users and cross-functional teams, ensuring that every designer's voice is heard and valued, making it a truly rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Quant Developer in AI in London
✨Join Local Tech Meetups
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We think you need these skills to ace Quant Developer in AI in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at present of AI.
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How to prepare for a job interview at present of AI
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If present of AI uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
