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- Tasks: Lead the development of AI systems for real-time user recognition and content delivery.
- Company: Join a well-backed startup revolutionising visitor experiences with cutting-edge AI technology.
- Benefits: Enjoy remote work flexibility, equity options, and the chance to shape your role as we grow.
- Why this job: Be part of a founding team making a real impact in the AI space with innovative projects.
- Qualifications: 2-5+ years in ML/CV/GenAI, proficient in Python and cloud infrastructure.
- Other info: Work directly with the founder and influence the technical direction of the company.
The predicted salary is between 42000 - 84000 £ per year.
A well-backed, early-stage startup is building a cutting-edge AI platform that transforms real-world visitor experiences at physical venues — from cultural institutions to entertainment destinations. Following successful pilots with major partners and recent pre-seed investment, we’re scaling up and looking for a Machine Learning Engineer to lead the development of our core AI systems.
If the following job requirements and experience match your skills, please ensure you apply promptly.
What You’ll Work On:- Enable the system to recognise what users are viewing in real time using image embeddings, similarity search (e.g. CLIP, vector search), and traditional CV approaches (e.g. YOLO, MobileNet).
- Design and implement pipelines that support retrieval-augmented generation, internal AI tools, and scalable content delivery.
- Experience with vector databases, agent frameworks, or data workflows is highly relevant.
- Own model deployment pipelines, including API-based serving, monitoring, and cloud infrastructure (AWS preferred, but others welcome).
- Bonus points for edge/offline deployment experience.
- Work directly with the founder on roadmap decisions, help shape technical direction, and grow into a potential leadership role as the team expands.
- 2–5+ years of experience in ML/CV/GenAI
- Proficiency in Python, ML frameworks, and cloud-based infrastructure
- Product-focused mindset with a desire to shape early-stage tech
- UK-based and open to occasional travel for testing and collaboration
- Build something novel at the intersection of CV and GenAI
- Be part of the founding team with real influence and equity
- Work remotely with the flexibility to grow your role as we scale
- Backed by strong early traction and funding
Machine Learning Engineer – Founding Team (Computer Vision / GenAI) (London) employer: Brio Digital
Contact Detail:
Brio Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer – Founding Team (Computer Vision / GenAI) (London)
✨Tip Number 1
Familiarise yourself with the latest advancements in computer vision and generative AI. Being well-versed in technologies like CLIP, YOLO, and MobileNet will not only boost your confidence but also help you engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase any relevant projects or experiences that demonstrate your ability to design and implement machine learning pipelines. Discussing specific challenges you've overcome can highlight your problem-solving skills and technical expertise.
✨Tip Number 3
Connect with professionals in the AI and machine learning community, especially those involved in startups. Networking can provide insights into the company culture and may even lead to referrals, increasing your chances of landing an interview.
✨Tip Number 4
Prepare to discuss your experience with cloud infrastructure, particularly AWS. Be ready to explain how you've managed model deployment pipelines and any relevant edge deployment experiences, as these are key aspects of the role.
We think you need these skills to ace Machine Learning Engineer – Founding Team (Computer Vision / GenAI) (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, computer vision, and generative AI. Focus on projects where you've implemented image embeddings or worked with vector databases, as these are key aspects of the role.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the startup environment and how your skills align with their mission. Mention specific technologies you’ve worked with, like YOLO or MobileNet, and how they relate to the job description.
Showcase Your Projects: If you have a portfolio or GitHub repository, include links to projects that demonstrate your expertise in ML/CV/GenAI. Highlight any experience with model deployment pipelines and cloud infrastructure, as this will set you apart.
Prepare for Technical Questions: Anticipate technical questions related to machine learning algorithms, model deployment, and cloud services. Be ready to discuss your problem-solving approach and any challenges you've faced in previous projects.
How to prepare for a job interview at Brio Digital
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning frameworks and computer vision techniques. Highlight specific projects where you've implemented image embeddings or worked with models like YOLO or MobileNet.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Think through your approach to solving problems, especially in real-time user recognition and scalable content delivery. Be ready to explain your thought process clearly.
✨Understand the Company’s Vision
Research the startup's mission and recent developments. Show enthusiasm for their AI platform and how it transforms visitor experiences. This will demonstrate your alignment with their goals and your interest in being part of the founding team.
✨Prepare Questions for the Founder
Since you'll be working closely with the founder, prepare insightful questions about the company's roadmap and technical direction. This shows your proactive mindset and eagerness to contribute to the team's growth.
