At a Glance
- Tasks: Design and operate large-scale web data acquisition systems for AI research.
- Company: Ant-Tech, a leading tech company in London focused on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on collaboration and innovation.
- Why this job: Join a cutting-edge team and contribute to impactful AI projects.
- Qualifications: Experience in web crawling, distributed systems, and data pipelines.
The predicted salary is between 59400 - 72600 £ per year.
Ant-Tech in London is seeking a Research Crawling Engineer to design and operate large-scale web data acquisition systems for research and model development. You will work across distributed systems, scraping infrastructure and data pipelines to collect and curate datasets for AI training. You will tackle high-throughput crawling, anti-bot challenges, and data quality guarantees, collaborating with research teams to align collection with modeling needs and scale infrastructure for cost.
Large-Scale Web Crawling Engineer for AI Data in London employer: Ant-Tech
As a Research Crawling Engineer at our innovative company, you'll be part of a dynamic team that thrives on building cutting-edge infrastructure for web data acquisition. We foster a fast-paced, collaborative work culture that prioritises technical excellence and encourages continuous learning, offering ample opportunities for professional growth. Located in a vibrant tech hub, we provide a unique environment where your contributions directly impact the future of AI and open web data.
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We think this is how you could land Large-Scale Web Crawling Engineer for AI Data in London
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We think you need these skills to ace Large-Scale Web Crawling Engineer for AI Data in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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