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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, expertise in Python, and experience with AI models in production.
- 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 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
Engage with the community by contributing to open-source projects related to computer vision. This hands-on experience can showcase your skills and commitment to potential employers. Plus, it’s a great way to network with other professionals in the industry.
✨Tip Number 3
Prepare to discuss specific projects where you've deployed AI models in production. Be ready to explain the challenges you faced, how you overcame them, and the impact of your work. This will highlight your practical experience and problem-solving abilities.
✨Tip Number 4
Research our company culture and values at StudySmarter. Tailor your conversations during interviews to align with our mission and demonstrate how your personal values resonate with ours. This connection can set you apart from other candidates.
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 deep learning frameworks.
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 contributions, the technologies used, and the impact of your work to demonstrate your expertise.
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. Prepare to explain how you've approached complex problems in past projects, especially those involving real-world applications of AI. Use examples that showcase your analytical thinking and ability to work independently as well as collaboratively.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in machine learning, LLMs, and generative AI. Being able to discuss current trends and how they might impact the company's goals will show your enthusiasm for the field and your commitment to continuous learning.
✨Prepare Questions for the Interviewers
Have insightful questions ready about the company's vision, the team you'll be working with, and the specific challenges they face in deploying AI solutions. This not only shows your interest in the role but also helps you assess if the company aligns with your career aspirations.
