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- Tasks: Enhance training platform with AI-powered algorithms and collaborate with diverse teams.
- Company: Leading sports tech firm in London with a focus on innovation.
- Benefits: Competitive salary, flexible working, health insurance, and performance incentives.
- Why this job: Join a dynamic team and shape the future of sports training technology.
- Qualifications: 5 years of software engineering experience, Python proficiency, and strong problem-solving skills.
- Other info: Enjoy a hybrid work model and opportunities for professional growth.
The predicted salary is between 60000 - 72000 £ per year.
A leading sports technology firm in London seeks an experienced Software Engineer to enhance its training platform. The role involves developing and optimizing training features, collaborating with cross-functional teams, and utilizing data-led approaches.
Candidates should have around 5 years of experience in software engineering, proficiency in Python, and strong problem-solving skills.
The position offers a hybrid work model with a competitive salary package and various benefits including flexible working, health insurance, and incentives.
Senior Modelling Engineer II - AI-Powered Training Algorithms in London employer: Runna
Contact Detail:
Runna Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Modelling Engineer II - AI-Powered Training Algorithms in London
✨Tip Number 1
Network like a pro! Reach out to folks in the sports tech industry, especially those who work at companies you're eyeing. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving AI and training algorithms. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common software engineering questions and problem-solving scenarios. Practice coding challenges to keep your skills sharp and ready for anything they throw at you.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Senior Modelling Engineer II - AI-Powered Training Algorithms in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience in software engineering, especially with Python. We want to see how your skills align with the role of enhancing our training platform.
Be Data-Driven: Since we’re all about data-led approaches, don’t forget to mention any relevant projects where you’ve used data to solve problems. This will show us you understand the importance of analytics in your work.
Collaborate Like a Pro: Collaboration is key in this role, so share examples of how you’ve worked with cross-functional teams in the past. We love seeing teamwork in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us.
How to prepare for a job interview at Runna
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and any relevant frameworks or libraries. Be prepared to discuss your previous projects in detail, especially those that involved AI or data-led approaches, as this will show your expertise and passion for the role.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think of examples from your past work where you faced a tough problem and how you solved it. This will demonstrate your analytical thinking and ability to work under pressure.
✨Collaborate Like a Pro
Since the role involves working with cross-functional teams, be ready to discuss your experience in collaboration. Share specific instances where you successfully worked with others to achieve a common goal, highlighting your communication skills and teamwork.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to AI in training algorithms or how they measure success in their projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.