Get the latest tech news

Arsenal FC AI Research Engineer job posting

A fantastic opportunity to use your AI / deep learning expertise to keep our club at the forefront of football analytics research, championing a data-driven approach to help deliver on-pitch success.

Design, develop and deploy bespoke AI models- you’ll be a subject matter expert in deep learning and generative AI, contributing cutting-edge knowledge to projects Conduct applied AI research- you will be entrusted to address complex, unsolved challenges, particularly in modelling and analysing spatiotemporal and multimodal datasets Collaborate with colleagues- you’ll partner with with coaches, analysts, scouts and technical peers to tackle difficult problems and provide users with applicable solutions, whether that be identifying the right loan placement for breakthrough academy players or the ideal ball trajectory for free kicks Embrace the entire stack- you’ll collaborate with a small, multidisciplinary team where everybody is willing to roll up their sleeves and dive into unfamiliar territory, whether it be hacking together an interactive tactics board in ReactJS or plumbing model inference into a PySpark data pipeline Communicate key insights- you will make data-driven recommendations to a variety of audiences, including technical teams and non-technical stakeholders, ensuring clarity and engagement Keep abreast of industry trends- you'll enthusiastically be part of the greater AI community, sharing recent developments with peers and advocating for adoption of new technologies and methods where warranted Be part of a geo-distributed team- you will relish the opportunity to unite with colleagues in other global locations and efficiently manage the dynamics of collaborating with team members in different timezones Mentor and learn- you'll proudly mentor peers and eagerly learn from others, whether that be from colleagues across our club or at meetups and conferences with fellow industry experts Proven quantitative background- you hold an advanced qualification in a quantitative discipline (e.g., computer science, artificial intelligence, mathematics, statistics, data visualisation, data science), or a related field with proven expertise in modern ML/AI methodologies Understanding of programming fundamentals- you have a solid foundation in software engineering and machine learning principles Applied deep learning experience- you're well versed in applying deep learning to unique and complex challenges and you have a track record of engineering end-to-end solutions that leverage deep learning models Excellent written and verbal communication- you can communicate confidently and effectively with both technical and non-technical stakeholders, whether they are standing in the room with you or asynchronously exchanging messages across time zones Highly independent and self-motivated mindset- you thrive when you need to take the torch and carry it on your own, calling for self-discipline, proactive communication and a manager-of-one mentality Innately curious and an independent learner- you naturally let your curiosity and passion for crafting new solutions guide you in acquiring new skills and becoming competent in a new discipline gives you great satisfaction PyData tech stack fluency- you are comfortable with Python, numpy, Pandas/Polars and similar tech Experience with deep learning frameworks- you have worked with PyTorch, JAX, Keras and/or TensorFlow An exciting reward and recognition scheme Generous holiday allowance which increases with your length of service Great internal learning and development programmes A flexible hybrid working model Priority access to apply for match tickets A competitive health and wellbeing benefits package A leading Employee Assistance Programme Great discounts with some of our Partners

Get the Android app