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- Tasks: Develop and deploy cutting-edge machine learning models for innovative multi-camera perception systems.
- Company: Richard Wheeler Associates, a leader in AI technology based in Oxford.
- Benefits: Competitive salary of £90-130k, hybrid work model, and equity options.
- Other info: Exciting opportunity to blend research with practical applications in a dynamic environment.
- Why this job: Join a pioneering team and shape the future of AI with your expertise.
- Qualifications: Experience in applied machine learning and computer vision is essential.
The predicted salary is between 90000 - 130000 £ per year.
Richard Wheeler Associates is looking for a Senior Applied Machine Learning / Computer Vision Engineer in Oxford. This full-time role offers a hybrid working model and a competitive salary range of £90-130k depending on experience.
The successful candidate will develop and deploy machine learning models for state-of-the-art multi-camera perception systems, blending research and practical application to build groundbreaking AI systems.
Senior ML & Computer Vision Engineer — Hybrid, Equity in Oxford employer: Richard Wheeler Associates
Contact Detail:
Richard Wheeler Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML & Computer Vision Engineer — Hybrid, Equity in Oxford
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and computer vision applications. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on technical questions and practical scenarios related to ML and computer vision. Practice coding challenges and be ready to discuss your past projects in detail.
✨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 get noticed by our hiring team.
We think you need these skills to ace Senior ML & Computer Vision Engineer — Hybrid, Equity in Oxford
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 achievements!
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 your background makes you a perfect fit for our team. Let us know what excites you about this role!
Showcase Your Projects: If you've worked on any cool machine learning or computer vision projects, make sure to mention them! We love seeing practical applications of your skills, so include links or descriptions that highlight your contributions.
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 our team!
How to prepare for a job interview at Richard Wheeler Associates
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest machine learning and computer vision techniques. Brush up on your knowledge of multi-camera perception systems and be ready to discuss specific projects you've worked on that showcase your skills.
✨Showcase Your Problem-Solving Skills
Prepare to tackle hypothetical scenarios during the interview. Think about how you would approach real-world problems using machine learning. This will demonstrate your ability to blend research with practical application, which is key for this role.
✨Ask Insightful Questions
Don’t just wait for the interviewer to ask if you have questions. Prepare thoughtful queries about their current projects or challenges they face in AI development. This shows your genuine interest in the company and the role.
✨Highlight Your Teamwork Experience
Since this role involves collaboration, be ready to share examples of how you’ve successfully worked in teams. Discuss how you’ve contributed to group projects, especially in a hybrid working environment, to show you can adapt and thrive in different settings.