At a Glance
- Tasks: Lead the development of AI systems for real-time user experience recognition.
- Company: Join a well-backed startup transforming visitor experiences with cutting-edge AI technology.
- Benefits: Enjoy remote work flexibility, equity options, and the chance to shape early-stage tech.
- Why this job: Be part of a founding team with real influence and the opportunity for leadership growth.
- Qualifications: 2-5+ years in ML/CV/GenAI; proficient in Python and cloud infrastructure.
- Other info: Work directly with the founder and contribute to exciting roadmap decisions.
The predicted salary is between 42000 - 84000 ÂŁ 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.
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.
About You:
- 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
Why Join:
- 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
Seniority level
-
Seniority level
Mid-Senior level
Employment type
-
Employment type
Full-time
Job function
-
Job function
Engineering and Information Technology
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Industries
Higher Education
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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 vector databases will not only boost your confidence but also demonstrate your passion for the field during discussions.
✨Tip Number 2
Network with professionals in the AI and machine learning community, especially those involved in startups. Attend relevant meetups or webinars to connect with potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 3
Prepare to discuss your previous projects in detail, particularly those involving model deployment and cloud infrastructure. Highlight any experience you have with AWS or similar platforms, as this will be crucial for the role.
✨Tip Number 4
Showcase your product-focused mindset by thinking about how your technical skills can directly impact user experiences. Be ready to share ideas on how to enhance visitor interactions at physical venues using AI, which aligns with the company's mission.
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, similarity search, or worked with ML frameworks.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the startup environment. Mention specific technologies you’ve worked with, such as AWS or vector databases, 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 skills in model deployment, API-based serving, or any relevant AI tools. This will give the hiring team insight into your practical experience.
Highlight Your Product Mindset: Emphasise your product-focused mindset in both your CV and cover letter. Discuss how your technical skills can contribute to shaping early-stage technology and your willingness to take on leadership responsibilities as the team grows.
How to prepare for a job interview at Brio Digital
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning frameworks, computer vision techniques, and cloud infrastructure. Bring examples of past projects where you've implemented image embeddings or model deployment pipelines.
✨Understand the Company’s Vision
Research the startup's mission and recent developments in AI technology. Demonstrating knowledge about their product and how it transforms visitor experiences will show your genuine interest and alignment with their goals.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process when tackling challenges related to vector databases, similarity search, or real-time user recognition.
✨Emphasise Collaboration and Leadership Potential
Since this role involves working closely with the founder and shaping the technical direction, highlight your teamwork skills and any leadership experiences. Discuss how you can contribute to the growth of the team as it expands.