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- Tasks: Design and deploy computer vision models for engaging visitor experiences.
- Company: Join a fast-growing AI startup transforming cultural spaces with innovative tech.
- Benefits: Enjoy remote work flexibility and a competitive salary of £65k to £70k.
- Why this job: Lead AI innovation while collaborating directly with the founder in a dynamic environment.
- Qualifications: Strong Python skills and experience with PyTorch or TensorFlow required.
- Other info: Flexible start date in July 2025; ideal for those passionate about tech and culture.
The predicted salary is between 52000 - 84000 £ per year.
We’re partnered with a fast-growing early-stage startup that’s transforming how people experience real-world spaces like museums, aquariums, and heritage sites using AI, computer vision, and generative tech. They’ve nailed pilots with major cultural institutions and just closed their pre-seed round. Now they’re on the hunt for a Machine Learning Engineer to take full ownership of their AI stack and drive the next wave of innovation.
What You’ll Be Doing
- Designing, training, and deploying computer vision models to recognize exhibits and physical objects across large venues
- Integrating LLMs and retrieval-augmented generation (RAG) systems to enable contextual, safe, and engaging visitor conversations
- Developing voice interfaces using speech-to-text and text-to-speech for seamless hands-free experiences
- Building scalable infrastructure, backend APIs, and MLOps pipelines (preferably on AWS)
- Working closely with the founder to influence product roadmap and AI strategy
What They’re Looking For
- Strong Python skills with experience in PyTorch or TensorFlow frameworks
- Proven computer vision expertise or solid transferable ML experience
- Familiarity with cloud platforms and backend development focused on MLOps
- Experience or strong interest in LLMs, prompt engineering, AR, indoor navigation, or data infrastructure is a bonus
Why This Role?
- Lead and own the AI function from the ground up
- Work at the intersection of cutting-edge tech and real-world impact
- Collaborate directly with the founder and shape product and technology decisions
Interested? We’re already speaking with top ML and computer vision engineers. If you want to take on this challenge, let’s chat.
Computer Vision Engineer employer: Maxwell Bond
Contact Detail:
Maxwell Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in computer vision and machine learning. Follow relevant blogs, attend webinars, and engage with online communities to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Build a portfolio showcasing your projects related to computer vision and machine learning. Include any models you've designed, trained, or deployed, especially those using PyTorch or TensorFlow. A strong portfolio can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the AI and computer vision space. Attend industry meetups, conferences, or online events to connect with like-minded individuals. These connections can lead to valuable insights and potential referrals for job opportunities.
✨Tip Number 4
Prepare to discuss how you would approach integrating LLMs and RAG systems into existing projects. Think about practical examples and be ready to share your ideas on enhancing user experiences through technology. This will show your proactive thinking and alignment with the company's goals.
We think you need these skills to ace Computer Vision Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in computer vision and machine learning. Emphasise your skills in Python, PyTorch, or TensorFlow, and any projects that showcase your expertise in these areas.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for AI and its real-world applications. Mention specific projects or experiences that align with the company's mission to transform visitor experiences.
Showcase Relevant Projects: If you have worked on any projects related to computer vision, LLMs, or MLOps, be sure to include them in your application. Provide links to your GitHub or portfolio to demonstrate your hands-on experience.
Highlight Collaboration Skills: Since this role involves working closely with the founder, emphasise your ability to collaborate effectively. Share examples of how you've contributed to team projects or influenced product decisions in previous roles.
How to prepare for a job interview at Maxwell Bond
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, PyTorch, and TensorFlow in detail. Bring examples of projects where you've designed or deployed computer vision models, as this will demonstrate your hands-on expertise.
✨Understand the Company’s Vision
Research the startup's mission and recent projects. Understanding how they use AI and computer vision to enhance visitor experiences will help you align your answers with their goals during the interview.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly, especially when discussing MLOps pipelines or integrating LLMs into existing systems.
✨Demonstrate Collaboration Skills
Since you'll be working closely with the founder, highlight your teamwork and communication skills. Share examples of how you've influenced product decisions or collaborated on tech strategies in previous roles.
