AI ML Engineer: 3D Vision & CNNs (London, Flexible)

AI ML Engineer: 3D Vision & CNNs (London, Flexible)

London Full-Time 50000 - 65000 £ / year (est.) No working from home possible
R3vamp

At a Glance

  • Tasks: Design and optimise neural networks for impactful AI solutions.
  • Company: Innovative AI tech start-up in London with a flexible work culture.
  • Benefits: Competitive salary, share opportunities, and a flexible working environment.
  • Other info: Exciting opportunity to work with large data sets in a dynamic setting.
  • Why this job: Join a cutting-edge team and make a real impact in AI technology.
  • Qualifications: Degree from a Russell Group University and hands-on experience with AI technologies.

The predicted salary is between 50000 - 65000 £ per year.

An innovative AI Tech Start-Up in London is seeking an AI Machine Learning Engineer to join their team. This role offers the chance to work on impactful AI solutions in a flexible environment. You will design and optimize neural networks while handling large data sets.

Ideal candidates have:

  • A degree from a Russell Group University
  • Hands-on experience with relevant technologies

Competitive salary and share opportunities are included.

AI ML Engineer: 3D Vision & CNNs (London, Flexible) employer: R3vamp

R3vamp is an exceptional employer that values innovation and employee development, offering a dynamic work culture where collaboration and creativity thrive. With the opportunity for hybrid working and quarterly international travel, employees can enjoy a balanced lifestyle while gaining invaluable experience in diverse sectors. The company is committed to supporting your professional growth through ongoing training and development, making it a rewarding place to build your career as a Calibration & Lab Instrumentation Engineer.

R3vamp

Contact Details:

R3vamp Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI ML Engineer: 3D Vision & CNNs (London, Flexible)

Tip Number 1

Network like a pro! Reach out to people in the AI and ML space, especially those who work at innovative start-ups. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!

Tip Number 2

Show off your skills! Create a portfolio showcasing your projects, especially those involving 3D vision and CNNs. This will give potential employers a taste of what you can do and set you apart from the crowd.

Tip Number 3

Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice common ML scenarios and be ready to discuss your past experiences in detail. Confidence is key!

Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.

We think you need these skills to ace AI ML Engineer: 3D Vision & CNNs (London, Flexible)

Neural Networks
3D Vision
Convolutional Neural Networks (CNNs)
Data Handling
AI Solutions Development
Machine Learning
Analytical Skills

Some tips for your application 🫡

Show Off Your Skills:Make sure to highlight your experience with neural networks and any relevant technologies in your application. We want to see what you've done and how it relates to the role!

Tailor Your CV:Don’t just send a generic CV! Tailor it to reflect the skills and experiences that match the job description. We love seeing candidates who take the time to align their background with our needs.

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how you can contribute to our innovative team. We appreciate a personal touch!

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 don’t miss out on any important updates from us!

How to prepare for a job interview at R3vamp

Know Your Neural Networks

Make sure you brush up on your knowledge of neural networks, especially CNNs. Be ready to discuss how you've designed and optimised them in past projects. Having specific examples will show your hands-on experience and understanding of the technology.

Data Handling is Key

Since you'll be working with large data sets, prepare to talk about your experience in managing and processing data. Think of challenges you've faced and how you overcame them. This will demonstrate your problem-solving skills and technical expertise.

Show Your Passion for AI

This role is all about innovation in AI, so let your enthusiasm shine through! Share any personal projects or research you've done related to AI and machine learning. It shows you're not just looking for a job, but that you're genuinely interested in the field.

Ask Insightful Questions

Prepare some thoughtful questions about the company's projects and future direction. This not only shows your interest in the role but also helps you gauge if the company aligns with your career goals. Plus, it makes for a more engaging conversation!