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- Tasks: Design and optimise AI models for real-world applications in computer vision.
- 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 machine learning and computer vision.
- Other info: Be part of a high-growth team driving innovation in AI and infrastructure.
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 social media, read relevant research papers, and participate in online forums 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 virtual meetups, webinars, or conferences to connect with others in the industry. These connections can lead to referrals or insider information about job openings at companies like ours.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and system design questions related to AI and machine learning. Use platforms like LeetCode or HackerRank to sharpen your skills. Being well-prepared will boost your confidence and improve your chances of impressing the interviewers.
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 self-directed learning you've undertaken in AI, machine learning, or related fields. This shows your commitment to staying updated with the latest trends and technologies in the industry.
How to prepare for a job interview at Willing Care Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with AI models, particularly in computer vision. Highlight specific projects where you've designed, built, or optimised models using CNNs, Transformers, or generative techniques. This will demonstrate your hands-on expertise and understanding of the technologies relevant to the role.
✨Demonstrate Problem-Solving Abilities
Expect to face technical challenges during the interview. Be ready to explain your thought process when tackling complex problems, especially those related to deploying AI models in production. Use examples from your past experiences to illustrate how you approached and solved these issues.
✨Stay Updated on Industry Trends
The field of AI is constantly evolving, so it's crucial to show that you're aware of the latest trends and advancements. Discuss recent developments in machine learning, LLMs, and generative AI, and how they could impact the company's work. This will reflect your passion for the industry and your commitment to continuous learning.
✨Emphasise Collaboration Skills
Since the role involves working with cross-functional teams, highlight your ability to collaborate effectively. Share examples of how you've worked with product and engineering teams in the past to integrate AI solutions. This will showcase your interpersonal skills and your ability to contribute to a team-oriented environment.
