Senior Applied Scientist, ML & Computer Vision for Ops

Senior Applied Scientist, ML & Computer Vision for Ops

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Feedinkoo

At a Glance

  • Tasks: Develop advanced analytics models to enhance customer experiences and drive operational improvements.
  • Company: Feedinkoo, a forward-thinking company in the tech industry.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for significant contributions.
  • Other info: Exciting role with potential for impactful work and career growth.
  • Why this job: Join a team where your expertise in ML and Computer Vision can truly make a difference.
  • Qualifications: PhD or Master's in a relevant field with programming skills in Java, Python, or C++.

The predicted salary is between 60000 - 80000 £ per year.

Feedinkoo is seeking a motivated Snr. Applied Scientist in the United Kingdom with a strong background in machine learning and Computer Vision. This role involves developing advanced analytics models to enhance customer experiences and working with various stakeholders to deliver operational improvements.

The ideal candidate will have a PhD or Master's in a relevant field and experience in programming languages like Java, Python, or C++.

The position offers an opportunity to make significant contributions in a dynamic environment.

Senior Applied Scientist, ML & Computer Vision for Ops employer: Feedinkoo

Feedinkoo is an exceptional employer that fosters a collaborative and innovative work culture, where your contributions as a Senior Applied Scientist will directly impact customer experiences and operational efficiencies. Located in the vibrant United Kingdom, we offer competitive benefits, continuous professional development opportunities, and a supportive environment that encourages creativity and growth, making it an ideal place for those seeking meaningful and rewarding employment.

Feedinkoo

Contact Details:

Feedinkoo Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Applied Scientist, ML & Computer Vision for Ops

Tip Number 1

Network like a pro! Reach out to professionals in the ML and Computer Vision fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.

Tip Number 2

Showcase your skills! Create a portfolio of your projects, especially those involving advanced analytics models. This will give potential employers a taste of what you can bring to the table.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with programming languages like Java, Python, or C++, and how you've applied them in real-world scenarios.

Tip Number 4

Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.

We think you need these skills to ace Senior Applied Scientist, ML & Computer Vision for Ops

Machine Learning
Computer Vision
Advanced Analytics
Java
Python
C++
Stakeholder Engagement

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in machine learning and computer vision. 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 this role and how your background makes you a perfect fit. We love seeing enthusiasm and a personal touch.

Showcase Your Technical Skills:Since programming is key for this position, be sure to mention your proficiency in languages like Java, Python, or C++. We want to know how you’ve applied these skills in real-world scenarios!

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 Feedinkoo

Know Your Stuff

Make sure you brush up on your machine learning and computer vision concepts. Be ready to discuss your previous projects in detail, especially those that involved advanced analytics models. This will show your depth of knowledge and how you can apply it to enhance customer experiences.

Showcase Your Programming Skills

Since the role requires proficiency in languages like Java, Python, or C++, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to keep your skills sharp.

Understand the Company’s Needs

Research Feedinkoo and understand their operations and customer base. Think about how your expertise can contribute to their goals. This will help you tailor your answers and show that you’re genuinely interested in making an impact.

Engage with Stakeholders

This role involves working with various stakeholders, so be ready to discuss how you’ve successfully collaborated in the past. Share examples of how you’ve communicated complex technical concepts to non-technical team members, as this will highlight your ability to bridge gaps and drive operational improvements.