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- Tasks: Lead the development of computer vision capabilities in an AI-driven platform.
- Company: Top AI talent acquisition firm focused on innovation.
- Benefits: Remote work, competitive salary, and opportunities for mentorship.
- Why this job: Be at the forefront of AI technology and make a significant impact.
- Qualifications: Expertise in computer vision and data engineering required.
- Other info: Join a dynamic team dedicated to solving complex challenges.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI talent acquisition firm seeks a Lead Data Scientist to pioneer computer vision capabilities within an AI-powered manufacturing platform. This remote role entails overseeing end-to-end delivery of AI systems while mentoring team members. The ideal candidate will possess deep expertise in computer vision and data engineering, leveraging tools like Azure Machine Learning and Databricks. Join a team committed to solving complex challenges through innovative AI solutions.
Lead Data Scientist: Vision & Production AI (Remote UK) in London employer: Elios Talent
Contact Detail:
Elios Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist: Vision & Production AI (Remote UK) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data science community, especially those working in computer vision. Attend meetups or webinars, and don’t be shy about sliding into DMs on LinkedIn – you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in computer vision and data engineering. Use platforms like GitHub to share your code and demonstrate your expertise with tools like Azure Machine Learning and Databricks. This will make you stand out when we’re looking for someone to lead our team.
✨Tip Number 3
Prepare for interviews by brushing up on common data science scenarios and case studies. Think about how you would tackle real-world problems using AI solutions. We love candidates who can think critically and creatively, so come ready to discuss your thought process!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to innovative AI solutions in manufacturing.
We think you need these skills to ace Lead Data Scientist: Vision & Production AI (Remote UK) in London
Some tips for your application 🫡
Show Off Your Expertise: When you're writing your application, make sure to highlight your deep expertise in computer vision and data engineering. We want to see how your skills align with the role, so don’t hold back on showcasing your experience with tools like Azure Machine Learning and Databricks.
Tailor Your Application: Take a moment to tailor your application specifically for this role. Mention how your past experiences can help us pioneer computer vision capabilities within our AI-powered manufacturing platform. Personal touches go a long way!
Be Clear and Concise: Keep your application clear and to the point. We appreciate well-structured applications that get straight to the heart of your qualifications and experiences. Avoid fluff and focus on what makes you the perfect fit for leading our data science efforts.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our team and culture.
How to prepare for a job interview at Elios Talent
✨Know Your Stuff
Make sure you brush up on your computer vision and data engineering skills. Be ready to discuss specific projects you've worked on, especially those involving Azure Machine Learning and Databricks. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Leadership Skills
Since this role involves mentoring team members, be prepared to share examples of how you've led teams in the past. Talk about your approach to guiding others and how you handle challenges within a team setting. This will demonstrate your capability to oversee end-to-end delivery of AI systems.
✨Understand the Company’s Vision
Research the company and its AI-powered manufacturing platform. Understand their mission and the specific challenges they aim to solve with AI. This knowledge will help you align your answers with their goals and show that you're genuinely interested in contributing to their success.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready to ask at the end of the interview. Inquire about the team dynamics, the types of projects you'll be working on, or how they measure success in this role. This shows your enthusiasm and helps you gauge if the company is the right fit for you.
