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- Tasks: Design and implement cutting-edge time-series models for advanced AI systems.
- Company: Leading tech company in Greater London with a focus on innovation.
- Benefits: Competitive salary, flexible remote work, and comprehensive benefits.
- Why this job: Join a pioneering team and shape the future of AI technology.
- Qualifications: PhD in relevant field, experience in time-series modelling, and strong Python skills.
- Other info: Exciting opportunity for career growth in a dynamic tech environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading tech company in Greater London is seeking a Time Series Researcher to design and implement foundational time-series models for their advanced AI system, Orbital. The role involves integrating physics into models, managing uncertainty, and ensuring robust production deployment.
Ideal candidates should have:
- A PhD
- Extensive experience with time-series modelling
- Strong skills in Deep Learning and Python
The position offers a remote or hybrid work setup with a competitive salary and benefits.
Remote Time Series Scientist for Production AI in London employer: Applied Computing
Contact Detail:
Applied Computing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Time Series Scientist for Production AI in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, join relevant online communities, and attend virtual meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your time-series models and any projects you've worked on. This is your chance to demonstrate your expertise in Deep Learning and Python, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to time-series modelling and AI. Practice explaining complex concepts in simple terms, as this will help you connect with interviewers who may not be as technical.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications from passionate candidates like you. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Remote Time Series Scientist for Production AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with time-series modelling and Deep Learning. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or research!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about time-series research and how you can contribute to our advanced AI system, Orbital. Keep it engaging and personal!
Showcase Your Technical Skills: Since this role requires strong Python skills, make sure to mention any relevant programming projects or experiences. We love seeing practical applications of your knowledge, so include examples where possible!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Applied Computing
✨Know Your Time Series Inside Out
Make sure you brush up on your time-series modelling knowledge. Be prepared to discuss specific models you've worked with, how you've integrated physics into them, and any challenges you've faced. This will show your depth of understanding and practical experience.
✨Showcase Your Deep Learning Skills
Since the role requires strong skills in Deep Learning, be ready to talk about your experience with relevant frameworks like TensorFlow or PyTorch. Bring examples of projects where you've applied these skills, especially in relation to time-series data.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving abilities. Practice explaining complex concepts clearly and concisely, as you might need to demonstrate your thought process when managing uncertainty in models.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the company's AI system, Orbital. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
