Head of Computer Vision (UK) (London)

FLOX
London
3 months ago
Applications closed

Related Jobs

View all jobs

Deputy Head of Service for Performance and Quality

Lead Test Engineer (Embedded Software)

Senior IT Engineer

Support Co-ordinator

Head of CRM & Insights

Head of CRM & Insights

About Us

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

Please double check you have the right level of experience and qualifications by reading the full overview of this opportunity below.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. It’s 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 some vegans in our ranks; all welcome). We’re fun, quirky, humble, ambitious, and passionate.It’s an exciting time of growth for FLOX – and we’re looking for like-minded people to join the team.About the Role

We are currently seeking a Head of Computer Vision to spearhead our analytics product’s scaling strategy and creatively lead the development of our AI-based features. This role reports to the CTO.We’re a growing start-up with plenty of room for progression and making the role your own.Key Responsibilities

Guide us in scaling and extending our AI-based product featuresManage the expansion of our MLOps infrastructure, with a focus on continuous learningAdvocate for Data and ML as part of the Leadership Team strategic effortsWork closely with our Operations team to execute our data scaling strategyDesign, implement and manage ML algorithmsLead development of hard Computer Vision features like visual weighing or health assessment for chickensLead and mentor the the Computer Vision team, with the option of line managing itAbout You

5+ years of commercial Computer Vision experience3+ years of commercial Data Science experienceA strong understanding with MLOps and ideally having led MLOps engineersExperience with our tech stack: Python (NumPy, Scipy, Pandas, etc.),

OpenCV, PyTorchMSc or PhD in a related subject matterStrong leadership experience i.e. a team of 3+ peopleExperience working and managing teams in an Agile environmentExperience working with remote teamsCan commute to our East London HQ approximately twice per weekStart-up / scaleup experience a bonus (we are working towards our Series A)Ability to empathise with and mentor the team, and lead with kindnessStrong experience in taking research ideas into production at scaleA natural enthusiasm for keeping up to date with new technologies and methodologiesCompensation, Perks & Benefits

£90k-£120k depending on experience and location£100k+ share options packageFlexible working25 days’ holidays (excluding bank holidays)Lunch and snacks provided in the officeInclusive and relaxed company culture: we welcome everyone, we encourage you to be yourself and dress as you likeExposure to state-of-the-art technologiesA young and international work environmentA chance to work with well-respected experts, including AI and roboticsWe 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.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.