Computer Vision Engineer

Computer Vision Engineer

Crawley Full-Time 100000 - 120000 £ / year (est.) No home office possible
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At a Glance

  • 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 your efforts.
  • 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

Join a dynamic and innovative team at the forefront of AI technology, where you'll have the opportunity to work remotely while contributing to groundbreaking projects that are set to transform a multi-trillion-dollar industry. Our company fosters a collaborative and creative work culture, offering competitive salaries, equity options, and ample opportunities for professional growth in a fast-paced environment backed by leading venture capital firms. Embrace the agility of a startup with the stability of a well-supported foundation, and be part of a mission-driven organisation that values responsible AI practices and encourages continuous learning.
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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 the company’s current projects and technologies they are using. Tailor your discussions to align your skills and experiences with their needs. Showing that you understand their business and how you can contribute will set you apart from other candidates.

We think you need these skills to ace Computer Vision Engineer

Proficiency in Python
Experience with deep learning frameworks (PyTorch, TensorFlow, Keras)
Strong expertise in computer vision techniques
Knowledge of generative models (e.g., GANs, diffusion models)
Experience deploying AI models in production environments
Familiarity with large-scale machine learning pipelines
Understanding of LLMs and fine-tuning techniques
Experience with synthetic data generation and utilisation
Infrastructure knowledge (AWS, Kubernetes, Terraform/OpenTofu)
Strong problem-solving skills
Ability to work independently and collaboratively
Awareness of responsible AI practices

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 company values innovation and staying abreast of the latest trends in machine learning and generative AI. Make sure to mention any recent developments or technologies that excite you, and how they could be applied to the company's goals. This shows your passion for the field and your commitment to continuous learning.

✨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 successfully integrated AI solutions into existing systems or worked alongside product and engineering teams to achieve common goals. This will highlight your teamwork skills and adaptability.

Computer Vision Engineer
Willing Care Recruitment
W
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