At a Glance
- Tasks: Lead a team to create innovative AI solutions for sports experiences.
- Company: Enigma, a forward-thinking company in Greater London.
- Benefits: Flexible work location and a supportive environment.
- Other info: Great opportunity for career growth in a dynamic field.
- Why this job: Join us to shape the future of sports with advanced AI technologies.
- Qualifications: Experience in AI/ML systems and strong leadership skills.
The predicted salary is between 70000 - 90000 £ per year.
Enigma in Greater London is seeking an Engineering Manager for the Applied Machine Learning team. This role focuses on delivering innovative solutions for sports experiences using advanced AI technologies and leading a team of Engineers and Data Scientists.
The ideal candidate should have hands-on experience in AI/ML systems, proven leadership skills, and the ability to communicate complex concepts to diverse stakeholders.
Enjoy benefits including flexibility in work location and a supportive work environment.
ML Engineering Manager — Lead Scalable AI for Sports in London employer: Enigma
Enigma is an exceptional employer that fosters a dynamic and innovative work culture, particularly for those passionate about applying AI technologies in the sports industry. With a strong emphasis on employee growth, we offer flexible work arrangements and a supportive environment that encourages collaboration and creativity, making it an ideal place for professionals looking to make a meaningful impact in their field.
StudySmarter Expert Advice🤫
We think this is how you could land ML Engineering Manager — Lead Scalable AI for Sports in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and sports tech space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them during interviews. It’s all about demonstrating what you can bring to the table.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your technical knowledge and be ready to explain complex AI concepts in simple terms. Remember, it’s not just about what you know, but how you communicate it.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to lead innovative projects. Your next big opportunity could be just a click away!
We think you need these skills to ace ML Engineering Manager — Lead Scalable AI for Sports in London
Some tips for your application 🫡
Show Your Passion for AI/ML:When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how your experience aligns with our mission to innovate in sports using advanced technologies.
Highlight Leadership Experience:Make sure to showcase your leadership skills in your application. We’re looking for someone who can guide a team of Engineers and Data Scientists, so share examples of how you've successfully led projects or teams in the past.
Communicate Clearly:Since this role involves explaining complex concepts to various stakeholders, it’s crucial to demonstrate your communication skills. Use clear and concise language in your application to show us you can break down intricate ideas effectively.
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 about the process!
How to prepare for a job interview at Enigma
✨Know Your AI/ML Stuff
Make sure you brush up on your knowledge of AI and machine learning systems. Be ready to discuss specific projects you've worked on, the technologies you used, and the impact they had. This will show that you’re not just a manager but also someone who understands the technical side of things.
✨Showcase Your Leadership Skills
Prepare examples that highlight your leadership experience. Think about times when you successfully led a team through challenges or implemented innovative solutions. This is your chance to demonstrate how you can inspire and guide a team of Engineers and Data Scientists.
✨Communicate Clearly
Since you'll be dealing with diverse stakeholders, practice explaining complex concepts in simple terms. You might be asked to present a technical idea to someone without a tech background, so being able to break it down is key. Use analogies or real-world examples to make your points relatable.
✨Research Enigma and Their Projects
Familiarise yourself with Enigma’s work in sports and AI. Knowing their current projects and challenges will help you tailor your answers and show genuine interest. It’ll also give you a chance to suggest how your skills can contribute to their goals.
