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- Tasks: Design and optimise AI models, develop computer vision pipelines, and collaborate with teams.
- Company: Join a fast-scaling SaaS company revolutionising a multi-trillion-dollar industry with innovative AI solutions.
- Benefits: Enjoy remote work, competitive salary, equity options, and long-term career growth.
- Why this job: Work on cutting-edge technology in a creative environment with top-tier investors backing you.
- Qualifications: 3+ years in software development, strong Python skills, and expertise in computer vision and ML pipelines.
- Other info: Be part of a high-growth international team driving real-world innovation through AI.
The predicted salary is between 100000 - 120000 £ per year.
A fast-scaling, venture-backed SaaS company is building an innovative AI platform aimed at revolutionising a multi-trillion-dollar global industry. With backing from leading venture capital firms in Japan and the US, the business has recently exited stealth mode and is entering a significant phase of product expansion and commercial growth.
We are now seeking an experienced AI Engineer specialising in Computer Vision to join a high-calibre engineering team. This is a unique opportunity to work on cutting-edge models, take ownership of end-to-end development, and contribute to the design of intelligent, scalable systems powering real-world innovation.
Key Responsibilities:- Design, build, and optimise production-level AI models using CNNs, Transformers, and generative techniques (e.g., diffusion models, GANs).
- Develop and deploy real-time and batch computer vision pipelines to support use cases such as object detection, document analysis, and synthetic data generation.
- Experiment with, fine-tune, and operationalise open-source models (e.g., LLaMA, Mistral, Stable Diffusion).
- Collaborate with cross-functional product and engineering teams to integrate AI solutions into core platform features.
- Drive innovation by staying abreast of the latest trends in machine learning, LLMs, and generative AI.
- Ensure responsible AI practices, including transparency, fairness, and scalability in production environments.
- Optimise models for performance, cost, and deployment efficiency on modern compute infrastructure (GPU/CPU).
- 3+ years of experience in software development and machine learning engineering in a fast-paced, technical environment.
- Proven experience deploying AI models in production (not just research) across real-world use cases.
- Advanced proficiency in Python and deep learning frameworks such as PyTorch, TensorFlow, or Keras.
- Strong expertise in computer vision, generative models, and large-scale ML pipelines.
- Familiarity with LLMs, diffusion models, fine-tuning, and techniques like LoRA.
- Experience curating and utilising synthetic data for training and evaluation.
- Infrastructure knowledge including AWS, Kubernetes, and Terraform/OpenTofu.
- Strong problem-solving skills, with the ability to work independently and collaboratively within cross-functional teams.
- Be part of a high-growth, international team transforming a globally significant industry through AI.
- Work on cutting-edge CV and generative AI technologies in a highly autonomous and creative environment.
- Enjoy the agility of a startup with the support of top-tier investors and a strong technical foundation.
- Competitive salary, equity options, and long-term career growth opportunities.
If you’re excited to contribute to a visionary platform at the intersection of AI, infrastructure, and global innovation, we’d love to hear from you. To apply, please submit your CV and a brief note outlining your interest and relevant experience.
Computer Vision Engineer employer: Willing Care Recruitment
Contact Detail:
Willing Care Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computer Vision Engineer
✨Tip Number 1
Make sure to showcase your hands-on experience with deploying AI models in production. Highlight specific projects where you've successfully implemented computer vision solutions, as this will demonstrate your practical skills and understanding of real-world applications.
✨Tip Number 2
Stay updated on the latest trends in machine learning and generative AI. Mention any recent technologies or frameworks you've experimented with, such as diffusion models or LLMs, to show that you're proactive about learning and innovation in the field.
✨Tip Number 3
Emphasise your collaborative skills by discussing experiences where you've worked with cross-functional teams. This is crucial for integrating AI solutions into core platform features, so sharing examples of successful teamwork can set you apart.
✨Tip Number 4
Familiarise yourself with the company's tech stack, including AWS, Kubernetes, and Terraform/OpenTofu. Being able to speak knowledgeably about these tools during discussions can demonstrate your readiness to hit the ground running in their environment.
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 experience in software development and machine learning engineering, particularly focusing on your work with AI models in production. Emphasise your proficiency in Python and any relevant frameworks like PyTorch or TensorFlow.
Craft a Compelling Cover Note: In your cover note, express your enthusiasm for the role and the company. Mention specific projects or experiences that align with the responsibilities listed in the job description, such as your work with computer vision pipelines or generative models.
Showcase Relevant Projects: If you have worked on notable projects related to computer vision or AI, summarise these in your application. Highlight your role, the technologies used, and the impact of your contributions to demonstrate your hands-on experience.
Highlight Continuous Learning: Mention any recent courses, certifications, or workshops you've completed that are relevant to AI and computer vision. This shows your commitment to staying updated with the latest trends and technologies in the field.
How to prepare for a job interview at Willing Care Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and deep learning frameworks like PyTorch or TensorFlow. Bring examples of projects where you've deployed AI models in production, highlighting your problem-solving skills and technical expertise.
✨Demonstrate Your Knowledge of Computer Vision
Familiarise yourself with the latest trends in computer vision and generative models. Be ready to discuss specific techniques you've used, such as CNNs or GANs, and how they apply to real-world use cases relevant to the company's goals.
✨Prepare for Collaborative Scenarios
Since the role involves working with cross-functional teams, think of examples where you've successfully collaborated with others. Highlight your ability to integrate AI solutions into existing systems and how you communicate complex ideas effectively.
✨Understand Responsible AI Practices
Research the principles of responsible AI, including transparency and fairness. Be prepared to discuss how you ensure these practices in your work, especially when optimising models for performance and scalability in production environments.
