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- Tasks: Lead a team to develop cutting-edge computer vision models for major sports events.
- Company: Join Tact, a forward-thinking company making waves in the sports tech industry.
- Benefits: Earn up to £100K, enjoy remote work, and make a real-world impact.
- Other info: Fully remote role with opportunities for significant career growth.
- Why this job: Your work will be showcased to millions during prestigious sports events.
- Qualifications: Strong machine learning background, team leadership experience, and passion for computer vision.
The predicted salary is between 90000 - 100000 £ per year.
Tact is seeking a Head of Machine Learning to lead a team in developing production-grade computer vision models for use in major sports events. This fully remote role offers up to £100K, focusing on impactful real-world applications and collaboration with engineers.
Ideal candidates have a strong background in machine learning, experience in leading teams, and a passion for computer vision. Work at Tact means having your contributions seen by millions during prestigious sports events.
Head of ML & Computer Vision - Remote UK, Scale Impact in London employer: Tact
Contact Detail:
Tact Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of ML & Computer Vision - Remote UK, Scale Impact in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at Tact or similar companies. A friendly chat can open doors and give you insider info on what they're really looking for.
✨Tip Number 2
Show off your skills! If you've got some cool projects or research in machine learning or computer vision, make sure to highlight them in conversations. Real-world examples of your work can set you apart from the crowd.
✨Tip Number 3
Prepare for the interview by diving deep into Tact's recent projects and their impact on sports events. Being able to discuss how your expertise aligns with their goals will show you're genuinely interested and ready to contribute.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Head of ML & Computer Vision - Remote UK, Scale Impact in London
Some tips for your application 🫡
Show Your Passion for Computer Vision: When writing your application, let us see your enthusiasm for computer vision! Share any projects or experiences that highlight your love for the field and how you’ve applied your skills in real-world scenarios.
Highlight Leadership Experience: As we’re looking for someone to lead a team, make sure to showcase your leadership experience. Talk about how you've guided teams in the past, the challenges you faced, and how you overcame them to achieve success.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Head of ML & Computer Vision role. We want to see how your unique skills align with our mission at Tact.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Tact
✨Know Your Stuff
Make sure you brush up on your machine learning and computer vision knowledge. Be ready to discuss your past projects, especially those that had a real-world impact. Tact is looking for someone who can lead a team, so be prepared to share your leadership experiences and how you've driven successful outcomes.
✨Show Your Passion
Tact wants someone who’s genuinely excited about computer vision and its applications in sports. Share your enthusiasm during the interview! Talk about any personal projects or research you've done in this area, and how you envision using ML to enhance sports events.
✨Team Collaboration is Key
Since this role involves working closely with engineers, highlight your experience in collaborative environments. Discuss how you’ve successfully led teams in the past, focusing on communication and teamwork. Tact values contributions that are seen by millions, so demonstrate how you can bring people together to achieve impactful results.
✨Prepare Questions
Interviews are a two-way street, so come armed with thoughtful questions about Tact's vision for machine learning in sports. Ask about their current projects, team dynamics, and how they measure success. This shows you're not just interested in the role, but also in how you can contribute to their mission.