Senior ML Engineer - Vision AI, Hybrid + Equity
Senior ML Engineer - Vision AI, Hybrid + Equity

Senior ML Engineer - Vision AI, Hybrid + Equity

Full-Time 43200 - 72000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Develop cutting-edge models for computer vision using AI technologies.
  • Company: Leading AI company in London with a focus on innovation.
  • Benefits: Competitive salary, hybrid work flexibility, and equity options.
  • Why this job: Join a dynamic team and make a real impact in Vision AI.
  • Qualifications: 5+ years of experience in ML, expertise in Python and PyTorch.
  • Other info: Exciting opportunities for growth in a collaborative environment.

The predicted salary is between 43200 - 72000 Β£ per year.

A leading AI company in London is seeking a Machine Learning Engineer to develop state-of-the-art models for computer vision. This full-time role requires 5+ years of experience, deep expertise in Python and PyTorch, and hands-on experience with model optimization.

The position offers a competitive salary, hybrid work flexibility, and a dynamic team environment dedicated to innovation in AI. Join us and make a significant impact in the field of Vision AI.

Senior ML Engineer - Vision AI, Hybrid + Equity employer: Ultralytics

As a leading AI company in London, we pride ourselves on fostering a culture of innovation and collaboration, where your contributions directly shape the future of Vision AI. With competitive salaries, hybrid work flexibility, and ample opportunities for professional growth, we empower our employees to excel in their careers while making a meaningful impact in the tech industry.
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Contact Detail:

Ultralytics Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Senior ML Engineer - Vision AI, Hybrid + Equity

✨Tip Number 1

Network like a pro! Reach out to your connections in the AI field, especially those who work at companies you're interested in. A friendly chat can sometimes lead to job opportunities that aren't even advertised.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your best projects in computer vision and machine learning. This is your chance to demonstrate your expertise in Python and PyTorch, so make it shine!

✨Tip Number 3

Prepare for interviews by brushing up on common ML concepts and algorithms. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your experience and technical skills.

✨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, we love seeing candidates who are proactive about their job search!

We think you need these skills to ace Senior ML Engineer - Vision AI, Hybrid + Equity

Machine Learning
Computer Vision
Python
PyTorch
Model Optimization
5+ Years of Experience
AI Innovation
Team Collaboration

Some tips for your application 🫑

Show Off Your Experience: Make sure to highlight your 5+ years of experience in machine learning and any specific projects you've worked on. We want to see how your background aligns with our needs in Vision AI!

Get Technical: Don’t shy away from showcasing your deep expertise in Python and PyTorch. Include examples of how you've used these tools in your previous roles, especially in model optimization.

Tailor Your Application: Customise your CV and cover letter to reflect the job description. We love seeing candidates who take the time to connect their skills and experiences directly to what we’re looking for.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates!

How to prepare for a job interview at Ultralytics

✨Know Your Tech Inside Out

Make sure you brush up on your Python and PyTorch skills. Be ready to discuss specific projects where you've optimised models, as they'll want to see your hands-on experience in action.

✨Showcase Your Vision AI Knowledge

Familiarise yourself with the latest trends and breakthroughs in computer vision. Bring examples of how you've applied these concepts in your previous roles to demonstrate your expertise.

✨Prepare for Technical Challenges

Expect to tackle some technical questions or coding challenges during the interview. Practise solving problems related to model optimisation and be prepared to explain your thought process clearly.

✨Emphasise Team Collaboration

This role is all about working within a dynamic team. Share experiences where you've collaborated effectively with others, highlighting your ability to contribute to a positive team environment.

Senior ML Engineer - Vision AI, Hybrid + Equity
Ultralytics

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