Computer Vision Engineer

About Us

Were The Healthy Chicken Company, an ag-tech start-up that believes you can have your chicken and eat it too! Using advanced AI, were on a mission to transform the poultry industry by improving the lives of the 1.8 trillion chickens reared over the next few decades.

How do we do it? Our system watches flocks and sheds with smart cameras and sensors and delivers data and insights to farmers (and others in the supply chain) that help improve welfare. Its a win-win-win-win: good for the birds, good for farmers, good for the environment and good for you!

Our team is made up of industry-leading technical talent and ambitious entrepreneurs who genuinely want to make a difference. We embrace diversity, representing 10+ nationalities and people from all walks of life (there are even a few vegetarians in our ranks; all welcome). Were fun, quirky, humble, ambitious, and passionate.

Its an exciting time of growth for FLOX and were looking for like-minded people to join the team.

About The Role

The role

We are looking for a Computer Vision Engineer with a strong software engineering mindset to develop and optimise AI-driven vision systems. This role seats in the Tech Team, and will report to the Engineering Manager / Head of Data and it will play a key role in building production-ready models, scaling AI infrastructure, and advancing our core vision capabilities.

This is an exciting opportunity to push the boundaries of AI in real-world applications, working with state-of-the-art Computer Vision, Deep Learning, and MLOps technologies.

Were a growing deep tech start-up with plenty of room for progression and making the role your own. Occasionally, and in line with your strengths and interests, you may be asked to work outside your job description.

Our tech stack

• Languages: Python (PyTorch, NumPy, OpenCV)
• ML Frameworks: PyTorch, TensorFlow, OpenCV
• Infrastructure: AWS, GCP, Docker, Kubernetes, MLFlow
• MLOps Tools: DVC, Weights & Biases, TensorRT
• Version Control & CI/CD: GitHub, GitLab, Jenkins
  
  

Key Responsibilities

• Develop & optimise high-performance Computer Vision and deep learning algorithms for real-time flock monitoring.
• Implement scalable AI solutions that transition seamlessly from research to production-level software.
• Own the full AI pipeline, including data collection, labeling, processing, and model deployment.
• Advance core vision features, such as visual weighing, behavior tracking, and health assessment of chickens.
• Optimise model efficiency & inference speed for deployment on edge devices, and cloud-based systems.
• Collaborate with engineers & researchers to enhance model accuracy, robustness, and interpretability.
• Participate in code reviews, debugging, and validation/testing to ensure high-quality, maintainable code.
• Stay ahead of industry trends in AI/ML, deep learning architectures, and MLOps best practices
  
  

About You

• 4+ years of hands-on experience developing Computer Vision and Deep Learning models in production environments.
• [ desirable ] Previous experience working with real-time video
• Strong software engineering skills, including clean coding, modular design, and best practices.
• Experience deploying ML models at scale, with knowledge of MLOps, model optimisation, and inference acceleration.
• Proficiency in Python and AI/ML frameworks like PyTorch & TensorFlow.
• Familiarity with cloud platforms (AWS, GCP, Azure) and containerised environments (Docker, Kubernetes).
• [ desirable ] Knowledge of camera models and calibration
• Ability to communicate complex AI concepts clearly to both technical and non-technical stakeholders.
• A natural collaborator that is keen on knowledge sharing and supporting other team members
• Can travel to our E8 London HQ ~ twice a week
• Start-up / scale-up experience a bonus
• ? Compensation, Perks & Benefits
• Up to £60k p.a. depending on experience and location
• Share options package of £20k
• Hybrid flexible working
• 25 days holidays (excluding bank holidays)
• Lunch and snacks provided in the office
• Inclusive and relaxed company culture: we welcome everyone, we encourage you to be yourself and dress as you like
• Exposure to state-of-the-art technologies
• A young and international work environment
• A chance to work with well-respected experts, including AI and robotics
  
  

We are committed to equality of opportunity for all staff and applications from all individuals are encouraged regardless of age, socioeconomic background, disability, sex, gender reassignment, sexual orientation, pregnancy and maternity, race, religion or belief and marriage and civil partnerships. We strongly encourage applications from womxn and queer folk.