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- Tasks: Lead the ML roadmap and build a high-performance team in dental tech.
- Company: Modern dental technology company focused on innovation.
- Benefits: Competitive salary, healthcare, paid time off, and more.
- Why this job: Make a real impact by deploying advanced computer vision models.
- Qualifications: Extensive experience in applied machine learning and leadership skills.
- Other info: Join a dynamic team with opportunities for growth and innovation.
The predicted salary is between 48000 - 72000 £ per year.
A modern dental technology company is looking for an Engineering Manager for their Machine Learning Platform. This role involves leading the ML roadmap, building a high-performance team, and deploying advanced computer vision models.
Ideal candidates have extensive experience in applied machine learning and leadership, alongside strong skills in Python and ML frameworks like TensorFlow.
Dandy offers competitive salary packages and comprehensive benefits including healthcare and paid time off.
Engineering Manager, ML Platform & Computer Vision employer: Dandy
Contact Detail:
Dandy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager, ML Platform & Computer Vision
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can sometimes lead to insider info or even a referral.
✨Tip Number 2
Show off your skills! If you’ve got projects or contributions in applied machine learning or computer vision, make sure to highlight them in conversations. Real-world examples can set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and ML frameworks like TensorFlow. We all know technical interviews can be tough, so practice coding challenges and system design questions related to ML.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Engineering Manager, ML Platform & Computer Vision
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in applied machine learning and leadership. We want to see how your skills in Python and ML frameworks like TensorFlow align with the role, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about leading an ML team and how you can contribute to our vision at Dandy. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any advanced computer vision models or similar projects, make sure to mention them. We love seeing real-world applications of your skills, so include links or descriptions that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Dandy
✨Know Your ML Stuff
Make sure you brush up on your applied machine learning knowledge. Be ready to discuss your experience with ML frameworks like TensorFlow and how you've deployed models in the past. They’ll want to see that you can not only talk the talk but also walk the walk!
✨Showcase Your Leadership Skills
As an Engineering Manager, you'll need to demonstrate your ability to lead a high-performance team. Prepare examples of how you've successfully managed teams, resolved conflicts, and fostered collaboration. Highlight any specific achievements that showcase your leadership style.
✨Prepare for Technical Questions
Expect some technical questions related to Python and computer vision. Brush up on your coding skills and be ready to solve problems on the spot. Practising common algorithms and data structures can give you an edge during the interview.
✨Align with Their Vision
Research the company’s mission and values, especially in the context of dental technology. Be prepared to discuss how your goals align with theirs and how you can contribute to their ML roadmap. Showing genuine interest in their work will set you apart from other candidates.
