Head of Artificial Intelligence
Head of Artificial Intelligence

Head of Artificial Intelligence

London Full-Time 72000 - 108000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the development of cutting-edge Visual AI for retail, focusing on real-time performance and team mentorship.
  • Company: Join a fast-growing tech company transforming the Retail Industry with innovative Visual AI solutions.
  • Benefits: Enjoy competitive salary, flexible working options, and the chance to shape the future of AI in retail.
  • Why this job: Be at the forefront of AI technology, making a real impact in the retail sector while leading a talented team.
  • Qualifications: Proven experience in deploying ML models, especially on mobile platforms, with a focus on practical results.
  • Other info: Ideal for those passionate about AI and looking to drive innovation in a dynamic environment.

The predicted salary is between 72000 - 108000 £ per year.

A fast-growing tech company, recently backed by $6m+ in Series A, is transforming the Retail Industry through cutting-edge Visual AI. They are now hiring a Head of AI to help them advance the next generation of Visual AI, achieving production-level performance for mobile and edge environments at scale.

Role Responsibilities

  • Lead the roadmap for applied computer vision models, from synthetic training pipelines to real-time inference, optimised for diverse retail and CPG use cases.
  • Oversee development across detection and recognition tasks, ensuring low-latency, high-accuracy performance under varied shelf conditions.
  • Expand and refine our synthetic data generation strategies, enhancing generalisation through domain adaptation and robust pre-training.
  • Collaborate closely with Product, Infrastructure, and Customer teams to ensure seamless field deployment.
  • Grow and mentor a team focused on scalable architectures and automation.
  • Drive the design of a highly generalisable large vision model optimised for dynamic retail environments.

Ideal Profile

  • Proven experience shipping ML models into production, preferably on mobile or edge platforms.
  • Hands-on background with synthetic data generation and large vision models (or strong interest in these areas).
  • Strong bias for practical, impact-driven development over purely academic results.
  • Ability to break down ambitious goals into executable technical strategies, leading teams with a focus on speed, collaboration, and reliability.

Nice-to-have Experience

  • Leading high-performing engineering teams.
  • Background in CPG, retail technology, or real-world applied computer vision.

Head of Artificial Intelligence employer: Brio Digital

As a fast-growing tech company at the forefront of transforming the Retail Industry with innovative Visual AI, we offer an exceptional work environment that fosters creativity and collaboration. Our commitment to employee growth is evident through mentorship opportunities and a culture that values practical, impact-driven development. Located in a vibrant tech hub, we provide competitive benefits and the chance to work on cutting-edge projects that make a real difference in the retail landscape.
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Contact Detail:

Brio Digital Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Head of Artificial Intelligence

✨Tip Number 1

Network with professionals in the AI and retail technology sectors. Attend industry conferences, webinars, or meetups to connect with potential colleagues and learn about the latest trends in Visual AI.

✨Tip Number 2

Showcase your hands-on experience with synthetic data generation and large vision models through personal projects or contributions to open-source initiatives. This practical demonstration can set you apart from other candidates.

✨Tip Number 3

Prepare to discuss your previous experiences in shipping ML models into production, especially on mobile or edge platforms. Be ready to share specific examples of challenges faced and how you overcame them.

✨Tip Number 4

Familiarise yourself with the company's products and their application of Visual AI in retail. Understanding their current challenges and goals will help you tailor your discussions during interviews and demonstrate your genuine interest.

We think you need these skills to ace Head of Artificial Intelligence

Expertise in Computer Vision
Machine Learning Model Deployment
Experience with Mobile and Edge Platforms
Synthetic Data Generation
Large Vision Models Development
Real-Time Inference Optimization
Technical Leadership
Team Mentorship and Development
Collaboration with Cross-Functional Teams
Project Management Skills
Strong Problem-Solving Abilities
Data-Driven Decision Making
Understanding of Retail and CPG Use Cases
Adaptability to Dynamic Environments

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with machine learning models, especially in production environments. Emphasise any hands-on work with synthetic data generation and large vision models, as these are key aspects of the role.

Craft a Compelling Cover Letter: In your cover letter, express your passion for transforming the retail industry through Visual AI. Discuss specific projects where you've led teams or developed impactful solutions, showcasing your ability to break down ambitious goals into executable strategies.

Showcase Relevant Experience: When detailing your work history, focus on roles that involved collaboration with product and infrastructure teams. Highlight any experience you have in mentoring teams and driving scalable architectures, as this aligns with the responsibilities of the Head of AI position.

Demonstrate Impact-Driven Development: Throughout your application, emphasise your bias for practical results over academic achievements. Provide examples of how your contributions have led to tangible improvements in performance or efficiency, particularly in mobile or edge platforms.

How to prepare for a job interview at Brio Digital

✨Showcase Your Technical Expertise

Be prepared to discuss your hands-on experience with machine learning models, especially in production environments. Highlight specific projects where you've successfully implemented AI solutions, particularly in mobile or edge platforms.

✨Demonstrate Leadership Skills

Since the role involves mentoring a team, share examples of how you've led engineering teams in the past. Discuss your approach to fostering collaboration and driving projects forward, focusing on speed and reliability.

✨Understand the Retail Landscape

Familiarise yourself with the retail industry and its challenges. Be ready to discuss how your expertise in computer vision can address specific use cases in retail, showcasing your understanding of the sector's needs.

✨Prepare for Problem-Solving Scenarios

Expect to tackle hypothetical scenarios related to AI deployment in dynamic retail environments. Practice articulating your thought process in breaking down complex problems into actionable strategies, demonstrating your practical, impact-driven mindset.

Head of Artificial Intelligence
Brio Digital
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