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- Tasks: Develop innovative tracking solutions using machine learning and computer vision.
- Company: Leading sports technology company with a focus on innovation.
- Benefits: Hybrid work model, 25 days annual leave, and enhanced pension scheme.
- Why this job: Make a real impact in the sports industry with cutting-edge technologies.
- Qualifications: Strong programming skills in Python and knowledge of machine learning.
- Other info: Inclusive and collaborative environment with exciting growth opportunities.
The predicted salary is between 36000 - 60000 £ per year.
A leading sports technology company is seeking a Machine Learning Engineer to develop innovative tracking solutions. The role requires strong programming skills in Python and knowledge in machine learning and computer vision.
Offering a hybrid work model with 25 days annual leave and an enhanced pension scheme, this position provides a unique opportunity to impact the sports industry. Join us to work on cutting-edge technologies in an inclusive and collaborative environment.
Real-Time ML Engineer - Sports Tracking in Bristol employer: Hawk Eye Innovations
Contact Detail:
Hawk Eye Innovations Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Real-Time ML Engineer - Sports Tracking in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the sports tech industry on LinkedIn or at events. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to sports tracking. This will give you an edge and demonstrate your passion.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and ML concepts. Practice coding challenges and be ready to discuss your thought process. We want to see how you tackle problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Real-Time ML Engineer - Sports Tracking in Bristol
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and any relevant experience with machine learning and computer vision. We want to see how you can bring your expertise to our innovative tracking solutions!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect how your background aligns with the role of Real-Time ML Engineer. We love seeing candidates who are genuinely interested in what we do.
Be Yourself: We value authenticity, so let your personality shine through in your application. Share your passion for sports technology and how you envision contributing to our inclusive and collaborative environment.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to review your application and get you on board to work with cutting-edge technologies!
How to prepare for a job interview at Hawk Eye Innovations
✨Know Your Tech
Make sure you brush up on your Python skills and be ready to discuss your experience with machine learning and computer vision. Prepare to explain how you've applied these technologies in past projects, as this will show your practical knowledge.
✨Show Your Passion for Sports Tech
Since the role is in sports technology, it’s a great idea to demonstrate your enthusiasm for the industry. Share any personal projects or interests related to sports tracking or analytics that could set you apart from other candidates.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Practice coding challenges or case studies relevant to real-time machine learning applications, as this will help you think on your feet during the interview.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about the team dynamics, ongoing projects, or future innovations in sports tracking technology to leave a lasting impression.
