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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. 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).
Ideal Candidate Profile:
- 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.
Why Join Us:
- 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
Familiarise yourself with the latest advancements in computer vision and generative AI. Follow industry leaders on platforms like LinkedIn or Twitter, and engage with their content 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 AI. Include examples of models you've developed, particularly those that have been deployed in production. This tangible evidence of your skills can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the AI and computer vision space. Attend relevant meetups, webinars, or conferences to connect with others in the industry. These connections can provide valuable insights and potentially lead to referrals for job openings.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design questions specifically related to AI and machine learning. Use platforms like LeetCode or HackerRank to sharpen your skills, focusing on problems that involve deep learning frameworks and computer vision techniques.
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 job description, such as your work with computer vision or generative models, to demonstrate your fit for the position.
Showcase Relevant Projects: If you have worked on notable projects involving computer vision, generative techniques, or large-scale ML pipelines, include these in your application. Briefly describe your role, the technologies used, and the impact of your work.
Highlight Continuous Learning: Mention any recent courses, certifications, or self-directed learning related to AI, machine learning, or computer vision. This shows your commitment to staying updated with industry trends and innovations, which is crucial for this role.
How to prepare for a job interview at Willing Care Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with deep learning frameworks like PyTorch or TensorFlow. Bring examples of projects where you've deployed AI models in production, especially those related to computer vision.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Practice articulating your thought process when solving complex problems, particularly in machine learning and computer vision contexts.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in AI, especially in generative models and large-scale ML pipelines. Being able to discuss recent trends will show your passion and commitment to the field.
✨Prepare for Collaborative Scenarios
Since the role involves working with cross-functional teams, be ready to discuss your experience collaborating with others. Share examples of how you’ve integrated AI solutions into existing systems and how you handle team dynamics.
