At a Glance
- Tasks: Design AI agents and integrate with data infrastructure for neuro-contextual advertising.
- Company: Innovative tech company in the UK focused on cutting-edge advertising solutions.
- Benefits: Flexible remote work, competitive salary, and opportunities for impactful contributions.
- Other info: Ideal for those eager to make a difference in a dynamic environment.
- Why this job: Join a pioneering team and shape the future of advertising technology.
- Qualifications: 3-5 years in ML systems, strong Python skills, and relevant academic background.
The predicted salary is between 50000 - 70000 £ per year.
An innovative tech company in the UK is seeking a Data Scientist to help build neuro-contextual advertising systems at scale. This role requires 3-5 years of experience in ML systems and strong Python skills, along with a solid academic background in relevant fields.
Responsibilities include:
- Designing AI agents
- Integrating with data infrastructure
- Evaluating performance
The position offers a flexible work model allowing for remote options and is ideal for someone ready to make an impactful contribution.
AI Agent Scientist - Production ML, Remote in London employer: Seedtag
Join an innovative tech company that champions creativity and collaboration, offering a flexible remote work model that empowers you to balance your professional and personal life. With a strong focus on employee growth, we provide ample opportunities for skill development and career advancement in the rapidly evolving field of machine learning. Our inclusive work culture fosters innovation and encourages meaningful contributions, making it an exciting place to thrive as an AI Agent Scientist.
StudySmarter Expert Advice🤫
We think this is how you could land AI Agent Scientist - Production ML, Remote in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in ML and Python. We recommend sharing your work on GitHub or even building a personal website. It’s a great way to demonstrate your expertise and passion.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your past experiences with AI agents and data infrastructure. We suggest doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! We make it super easy for you to submit your application directly. Plus, it shows us you’re genuinely interested in joining our innovative team. Don’t miss out on this opportunity!
We think you need these skills to ace AI Agent Scientist - Production ML, Remote in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with ML systems and Python in your application. We want to see how your background aligns with the role, so don’t hold back on showcasing your relevant projects!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. We love seeing how you can connect your past experiences to the responsibilities listed in the job description.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and skills stand out without unnecessary fluff.
Apply Through Our Website:We encourage you to submit your application 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 Seedtag
✨Know Your ML Systems
Make sure you brush up on your knowledge of machine learning systems. Be prepared to discuss your past experiences in designing and implementing these systems, as well as any challenges you've faced and how you overcame them.
✨Show Off Your Python Skills
Since strong Python skills are a must for this role, be ready 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 Neuro-Contextual Advertising
Familiarise yourself with neuro-contextual advertising systems. Research how they work and think about how your skills can contribute to building these systems at scale. This will show your genuine interest in the role and the company.
✨Prepare Questions About the Role
Have a few insightful questions ready to ask the interviewer. This could be about the team dynamics, the tech stack they use, or how success is measured in this position. It shows that you're engaged and serious about making an impact.
