Senior ML Engineering Manager - Applied AI & Research

Senior ML Engineering Manager - Applied AI & Research

Full-Time 80000 - 100000 € / year (est.) No home office possible
Super

At a Glance

  • Tasks: Lead a team to develop cutting-edge machine learning systems for sports and gaming.
  • Company: Super, a forward-thinking company revolutionising sports technology.
  • Benefits: Competitive salary, mentorship opportunities, and a chance to shape the future of tech.
  • Other info: Be part of a vibrant culture focused on innovation and growth.
  • Why this job: Join a dynamic team and make a real impact in the exciting world of AI.
  • Qualifications: Master’s or Ph.D. in a related field with strong ML and leadership experience.

The predicted salary is between 80000 - 100000 € per year.

Super in the United Kingdom is seeking a Senior Engineering Manager specializing in Machine Learning to lead the development and delivery of advanced machine learning systems. You will manage and mentor a team while ensuring high-quality solutions align with business goals.

The ideal candidate has a Master’s or Ph.D. in a related field, along with substantial experience in machine learning roles and team leadership. This position plays a critical role in shaping the future of sports and gaming technology.

Senior ML Engineering Manager - Applied AI & Research employer: Super

Super is an exceptional employer that fosters a dynamic and innovative work culture, particularly for those passionate about machine learning and its applications in sports and gaming technology. Employees benefit from comprehensive professional development opportunities, a collaborative environment, and the chance to lead cutting-edge projects that shape the future of the industry. Located in the vibrant UK tech scene, Super offers a unique blend of career growth and meaningful impact, making it an ideal place for talented individuals to thrive.

Super

Contact Detail:

Super Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior ML Engineering Manager - Applied AI & Research

Tip Number 1

Network like a pro! Reach out to your connections in the machine learning field and let them know you're on the hunt for a Senior ML Engineering Manager role. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Showcase your expertise! When you get the chance to chat with potential employers, be ready to discuss your past projects and how they align with the latest trends in AI and machine learning. This will help you stand out as a candidate who’s not just experienced but also passionate about the field.

Tip Number 3

Prepare for interviews by brushing up on your technical skills and leadership experience. Be ready to answer questions about managing teams and delivering high-quality solutions. We recommend practising common interview questions with a friend or using mock interview platforms.

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 proactive and take the time to engage with us directly.

We think you need these skills to ace Senior ML Engineering Manager - Applied AI & Research

Machine Learning
Team Leadership
Mentoring
Advanced Machine Learning Systems Development
Quality Assurance
Business Alignment
Ph.D. or Master's in a Related Field

Some tips for your application 🫡

Tailor Your CV:Make sure your CV highlights your experience in machine learning and team leadership. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your background makes you the perfect fit for leading our ML team. Keep it engaging and personal.

Showcase Your Leadership Style:As a Senior Engineering Manager, we’re keen to know how you lead and mentor teams. Share examples of how you’ve successfully guided others in previous roles and the impact it had on project outcomes.

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 this exciting opportunity in shaping the future of sports and gaming technology!

How to prepare for a job interview at Super

Know Your ML Stuff

Make sure you brush up on the latest trends and technologies in machine learning. Be ready to discuss your past projects in detail, especially those that align with the role at Super. They’ll want to see how your experience can directly contribute to their goals.

Showcase Your Leadership Skills

As a Senior Engineering Manager, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've successfully managed teams in the past, focusing on your approach to fostering collaboration and innovation.

Align with Business Goals

Understand Super's business objectives and think about how advanced machine learning systems can support these goals. Be ready to discuss how you can bridge the gap between technical solutions and business needs during the interview.

Ask Insightful Questions

Prepare thoughtful questions that show your interest in the company and the role. Inquire about their current projects, team dynamics, and future challenges they foresee in the sports and gaming technology space. This will not only demonstrate your enthusiasm but also help you gauge if it's the right fit for you.