At a Glance
- Tasks: Design and build machine learning models for advanced sports tracking.
- Company: Leading sports technology company in the UK with an agile team.
- Benefits: Competitive salary, annual leave, wellness programs, and hybrid work model.
- Why this job: Join a dynamic team and revolutionise sports technology with your skills.
- Qualifications: Strong programming skills in Python and experience in machine learning or computer vision.
- Other info: Exciting opportunity to work in a fast-paced environment with career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
A leading sports technology company in the UK seeks a Machine Learning Engineer to join their agile team. This role involves designing and building machine learning models for advanced tracking of sports activities.
Candidates should have strong programming skills in Python, familiarity with tools like Pytorch, and experience in machine learning or computer vision.
The position offers a hybrid work model and various benefits, including a competitive salary, annual leave, and wellness programs.
Realtime ML Engineer - Sports Tracking & Vision in Bristol employer: Hawk Eye Innovations
Contact Detail:
Hawk Eye Innovations Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Realtime ML Engineer - Sports Tracking & Vision in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the sports tech industry on LinkedIn or at events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to sports tracking or computer vision. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for technical interviews by brushing up on Python and Pytorch. Practice coding challenges and be ready to discuss your past projects in detail. We want to see how you think and solve problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Realtime ML Engineer - Sports Tracking & Vision in Bristol
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your programming skills in Python and any experience you have with Pytorch. We want to see how your background aligns with the role, so don’t hold back on showcasing your projects or relevant work!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention your experience in machine learning and computer vision, and how it relates to sports tracking. This will help us see why you're the perfect fit for our agile team.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points if necessary to make your key achievements stand out!
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’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Hawk Eye Innovations
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and get comfortable with Pytorch. Be ready to discuss specific projects where you've implemented machine learning or computer vision techniques. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical questions or case studies during the interview. Think about how you would approach designing a machine learning model for sports tracking. Practising these scenarios can help you articulate your thought process clearly.
✨Understand the Company’s Vision
Research the company’s products and their impact on sports technology. Being able to discuss how your skills align with their goals will demonstrate your genuine interest in the role and the industry. It’s all about showing that you’re not just looking for any job, but this job.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the team dynamics, the hybrid work model, or ongoing projects. This not only shows your enthusiasm but also helps you gauge if the company culture is the right fit for you. Remember, interviews are a two-way street!