Computer Vision Engineer, FLOX
£51-60k
+ Share options package of £20k
2-3 days a week in office
AI solutions for animal farming
Be an early applicant
AI solutions for animal farming
21-100 employees
Be an early applicant
£51-60k
+ Share options package of £20k
2-3 days a week in office
21-100 employees
Company mission
To transform the poultry industry by improving the lives of the 1.8 trillion chickens reared over the next few decades.
Role
Who you are
- 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
What the job involves
- 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
- We’re 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
- 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
- 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
Salary benchmarks
Our take
Each year, around 60M chickens are raised for meat, but even in the best farming conditions, their welfare often falls short. The most committed farms may inspect their flocks once or twice a day, yet in that brief window, chickens can become sick or injured.
This is where FLOX comes in, an innovative platform designed to enhance the welfare of chickens. Using computer vision, automated alerts, and real-time analytics, FLOX continuously monitors flocks, notifying farmers the moment an issue arises so they can act quickly. Beyond improving animal welfare, the platform also generates invaluable data, giving farmers deeper insights for better planning and decision-making.
Since its founding in 2018, FLOX has already gone live in 10 commercial sheds, including those operated by the UK's largest poultry producer. The company has also secured significant funding, including backing from DEFRA's Farming Innovation Programme, to develop a scalable industrial demonstrator system and further advance the platform. With the demand for poultry going nowhere, FLOX is poised for an exciting future, with its game-changing solution to an industry in need of innovation.
Freddie
Company Specialist at Welcome to the Jungle
Company
Funding (2 rounds)
Sep 2024
$3.1m
LATE VC
Oct 2021
$0.5m
GRANT
Total funding: $3.6m
Company benefits
- 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
Company HQ
North Kensington, London, UK
Leadership
Imtiaz Shams
(Co-Founder & CEO)Is also Director at Post Urban Ventures. Previously the Director of Business Development for Sunfish Energy and Technology Manager at Givergy.
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