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- Tasks: Lead innovative video AI/ML projects and transform sports technology insights.
- Company: Join a dynamic sports-tech company based in London with a focus on cutting-edge technology.
- Benefits: Enjoy flexible working options, competitive compensation, and opportunities for professional growth.
- Why this job: Be part of a team that values inclusivity and tackles exciting challenges in sports tech.
- Qualifications: Bring advanced AI/ML expertise, technical leadership skills, and cloud/edge inference experience.
- Other info: Don't let imposter syndrome hold you back—apply and make an impact!
The predicted salary is between 48000 - 84000 £ per year.
Staff Machine Learning Engineer (Applied Vision) Sports-Tech | London HQ | Flexible Working / Remote Working Role Highlights Lead cutting-edge video AI/ML projects Transform sports technology insights Build scalable machine learning systems Key Requirements Advanced AI/ML product expertise Technical leadership skills Cloud/edge inference experience Exceptional communication Nice-to-Have Sports tech background Compensation : Competitive We Offer Flexible work Professional growth Inclusive environment Imposter syndrome? Apply anyway! #J-18808-Ljbffr
Staff Machine Learning Engineer (Applied Vision) employer: Understanding Recruitment
Contact Detail:
Understanding Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Machine Learning Engineer (Applied Vision)
✨Tip Number 1
Make sure to showcase your experience with AI/ML projects, especially those related to video and sports technology. Highlight any specific projects where you led a team or contributed significantly to the outcome.
✨Tip Number 2
Demonstrate your technical leadership skills by discussing how you've mentored others or driven innovation in previous roles. This will show us that you're not just a great engineer, but also a leader.
✨Tip Number 3
Familiarize yourself with cloud and edge inference technologies, as these are crucial for the role. Be prepared to discuss your hands-on experience with these systems during the interview.
✨Tip Number 4
Since communication is key, practice explaining complex technical concepts in simple terms. This will help you connect better with our team and demonstrate your ability to convey ideas effectively.
We think you need these skills to ace Staff Machine Learning Engineer (Applied Vision)
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Staff Machine Learning Engineer position. Understand the key responsibilities and requirements, especially focusing on AI/ML product expertise and technical leadership skills.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience with video AI/ML projects and any relevant cloud or edge inference work. Use specific examples to demonstrate your technical leadership and problem-solving abilities.
Showcase Communication Skills: Since exceptional communication is a key requirement, include examples of how you've effectively communicated complex technical concepts to non-technical stakeholders in your previous roles.
Tailor Your Application: Customize your application materials to reflect your passion for sports technology. If you have any experience in this area, make sure to highlight it to stand out from other candidates.
How to prepare for a job interview at Understanding Recruitment
✨Showcase Your AI/ML Expertise
Be prepared to discuss your previous projects in AI and machine learning, especially those related to video processing. Highlight specific challenges you faced and how you overcame them.
✨Demonstrate Technical Leadership
Share examples of how you've led teams or projects in the past. Discuss your approach to mentoring others and driving technical decisions that align with business goals.
✨Communicate Clearly
Exceptional communication is key for this role. Practice explaining complex technical concepts in simple terms, as you may need to convey ideas to non-technical stakeholders.
✨Connect with Sports Technology
If you have a background in sports tech, make sure to bring it up! Discuss how your passion for sports can enhance your work in AI/ML and contribute to the company's mission.
