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- Tasks: Join a dynamic team to develop AI systems for real-time sports analytics.
- Company: Be part of an innovative sports tech startup transforming live game experiences.
- Benefits: Enjoy a fully remote role with a competitive salary and career growth opportunities.
- Why this job: Work on exciting projects that impact live sports and collaborate with passionate professionals.
- Qualifications: Proficiency in Python; experience with AI or computer vision is a plus.
- Other info: Visa sponsorship available for exceptional candidates.
The predicted salary is between 48000 - 64000 £ per year.
I’m working with a cutting-edge sports tech startup that’s using AI and computer vision to reshape how fans, coaches, and analysts experience live games. They are on the hunt for a software developer to join their AI/CV team and build real-time systems that push insights to customers as the action unfolds.
You’ll be right in the engine room, working closely with a tight-knit AI team on projects across football and growing into US sports. This is a hands-on, product-facing role for someone who loves fast-paced development work and wants their code to be used during actual live matches.
Why this could be a great fit:- You’ll build and optimize real-time data systems for live sport
- Work closely with computer vision and AI engineers on 2–3 key projects
- You’ll have room to grow into more responsibility as the team scales
- Flexible remote setup with support for cross-timezone collaboration
- No research-for-the-sake-of-it – your work goes straight into production
- Python (core language)
- Potential exposure to CV, AI models, and emerging tooling
- Working in a collaborative, agile team
- Salary up to £80,000
- Fully remote from anywhere in the UK
- Career growth opportunities in a small, focused team
- Visa sponsorship considered for exceptional candidates
If real-time data, sports tech, and building cool things that actually get used sounds like your thing – Apply now!!
AI Software Engineer employer: Understanding Recruitment
Contact Detail:
Understanding Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Software Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and computer vision, especially as they relate to sports analytics. Being able to discuss recent advancements or projects in this field during your interview will show your passion and knowledge.
✨Tip Number 2
Engage with online communities or forums related to AI in sports tech. Networking with professionals in the industry can provide insights into the company culture and potentially lead to referrals.
✨Tip Number 3
Prepare to demonstrate your coding skills in Python through practical exercises or challenges. Since this is a core requirement for the role, showcasing your proficiency will be crucial.
✨Tip Number 4
Research the startup's previous projects and their impact on sports analytics. Being able to discuss how your skills can contribute to their ongoing projects will set you apart from other candidates.
We think you need these skills to ace AI Software Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI, computer vision, and software development. Emphasise any projects or roles where you've worked with real-time data systems or in a sports tech environment.
Craft a Compelling Cover Letter: In your cover letter, express your passion for sports tech and how your skills align with the company's mission. Mention specific technologies you’ve worked with, like Python, and how they relate to the role.
Showcase Relevant Projects: If you have any personal or professional projects that demonstrate your ability to build real-time systems or work with AI and computer vision, include them in your application. Provide links or descriptions that showcase your contributions.
Highlight Team Collaboration Skills: Since this role involves working closely with a tight-knit team, emphasise your experience in collaborative environments. Mention any agile methodologies you’ve used and how you’ve contributed to team success in past projects.
How to prepare for a job interview at Understanding Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and any relevant AI or computer vision projects. Bring examples of your work that demonstrate your ability to build real-time systems, as this is crucial for the role.
✨Understand the Company’s Vision
Research the startup's mission and how they are using AI in sports tech. Being able to articulate how your skills align with their goals will show your genuine interest in the position.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges or scenarios related to real-time data processing to demonstrate your analytical thinking.
✨Emphasise Team Collaboration
Since the role involves working closely with a tight-knit team, highlight your experience in collaborative environments. Share examples of how you’ve successfully worked with others to achieve project goals.
