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- Tasks: Lead a team to develop cutting-edge computer vision models in media and gaming.
- Company: Join a forward-thinking company at the forefront of AI innovation.
- Benefits: Enjoy a competitive salary, equity options, and flexible working arrangements.
- Why this job: Be part of a dynamic team driving impactful projects and innovative research.
- Qualifications: MSc or PhD in STEM, with experience in ML Engineering and leadership.
- Other info: Ideal candidates can start in March/early April; previous startup experience is a plus.
The predicted salary is between 110000 - 130000 £ per year.
Salary: £110,000-£130,000 + equity/benefits
Location: London - 4 days a week in office
Manage and lead a dynamic team of Machine Learning Engineers working on high-impact, computer vision models in the media and gaming space.
ROLE AND RESPONSIBILITIES
- Working closely within a small team of 5, to build and scale ML models focusing on Computer Vision
- Working alongside technical and non-technical stakeholders
- Driving the latest innovative research in Engineering, deploying core projects onto their AWS platform
- Opportunity to upskill and manage whilst doing code reviews, reporting into the CTO
SKILLS AND EXPERIENCE
- MSc or PhD in STEM related subject + experience in ML Engineering
- Proficiency in Python, PyTorch, TensorFlow and AWS
- Experience in leading projects across Computer Vision
- Management and leadership experience is required
- Excellent communication skills with proven experience working with stakeholders
- Previous startup experience is preferred
This role is looking for someone with a short notice period, ideally starting in March/early April.
Apply below!
Contact Detail:
Placed Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of AI (Computer Vision) (London Area)
✨Tip Number 1
Network with professionals in the AI and computer vision fields. Attend relevant meetups, conferences, or webinars to connect with potential colleagues and industry leaders. This can help you gain insights into the latest trends and possibly get a referral.
✨Tip Number 2
Showcase your leadership skills by sharing examples of how you've successfully managed teams or projects in the past. Prepare specific anecdotes that highlight your ability to drive innovation and collaborate with both technical and non-technical stakeholders.
✨Tip Number 3
Familiarise yourself with the latest advancements in computer vision and machine learning. Being able to discuss recent research or breakthroughs during interviews will demonstrate your passion and commitment to the field.
✨Tip Number 4
Prepare to discuss your experience with AWS and how you've deployed ML models in previous roles. Highlight any specific projects where you’ve used AWS services, as this is crucial for the role at StudySmarter.
We think you need these skills to ace Head of AI (Computer Vision) (London Area)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and computer vision. Emphasise any leadership roles you've held and specific projects you've led, especially those involving Python, PyTorch, TensorFlow, and AWS.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about AI and computer vision. Mention your relevant qualifications, such as your MSc or PhD, and how your previous startup experience has prepared you for this role.
Showcase Communication Skills: Since excellent communication skills are essential for this role, consider including examples in your application that demonstrate your ability to work with both technical and non-technical stakeholders.
Highlight Leadership Experience: Clearly outline your management and leadership experience in your application. Provide specific examples of how you've successfully led teams or projects, particularly in the context of machine learning and computer vision.
How to prepare for a job interview at Placed
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python, PyTorch, TensorFlow, and AWS in detail. Highlight specific projects where you've successfully implemented computer vision models, as this will demonstrate your technical proficiency and relevance to the role.
✨Demonstrate Leadership Skills
Since this position requires management experience, be ready to share examples of how you've led teams or projects in the past. Discuss your approach to mentoring team members and how you handle challenges within a team setting.
✨Communicate Effectively with Stakeholders
Prepare to illustrate your communication skills by providing examples of how you've worked with both technical and non-technical stakeholders. This could include explaining complex concepts in simple terms or collaborating on project goals.
✨Research the Company and Its Projects
Familiarise yourself with the company's recent projects and innovations in the media and gaming space. Being knowledgeable about their work will not only impress the interviewers but also help you tailor your responses to align with their goals.
