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- Tasks: Join a dynamic team to develop real-time AI systems for live sports.
- Company: Be part of an innovative sports tech startup transforming fan experiences with cutting-edge technology.
- Benefits: Enjoy a fully remote role, competitive salary, and career growth opportunities.
- Why this job: Work on exciting projects that impact live matches 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. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with online communities or forums related to AI in sports tech. Networking with professionals in the industry can provide valuable insights and potentially lead to referrals for the position.
✨Tip Number 3
Showcase any relevant projects or contributions you've made in AI or computer vision on platforms like GitHub. Having a portfolio of your work can set you apart and give the hiring team a glimpse of your coding skills.
✨Tip Number 4
Prepare to discuss how you would approach building real-time data systems. Think about specific challenges you might face and how you would solve them, as this will highlight your problem-solving abilities during discussions.
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. This could be through a portfolio or links to GitHub repositories.
Highlight Team Collaboration Skills: Since the 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 Passion for Sports Tech
Make sure to express your enthusiasm for sports technology and how it can enhance the experience of fans and analysts. Share any personal experiences or projects that relate to sports analytics, as this will demonstrate your genuine interest in the field.
✨Highlight Relevant Technical Skills
Since the role focuses on Python and potentially computer vision, be prepared to discuss your proficiency in these areas. Bring examples of past projects where you've used Python to solve real-time problems, especially in a collaborative environment.
✨Prepare for Problem-Solving Scenarios
Expect to face technical challenges during the interview. Brush up on algorithms and data structures, and be ready to think aloud as you work through problems. This will showcase your analytical skills and ability to work under pressure.
✨Demonstrate Team Collaboration Skills
As the role involves working closely with a tight-knit team, be sure to highlight your experience in collaborative settings. Discuss how you’ve successfully worked with others in agile environments and how you handle feedback and communication.
