At a Glance
- Tasks: Lead a team to deploy machine learning models on edge devices and mentor engineers.
- Company: Exciting sports tech company in London with a focus on innovation.
- Benefits: Competitive salary, supportive work environment, and remote work options.
- Why this job: Shape the future of AI in sports technology and drive impactful innovations.
- Qualifications: Experience in engineering management and MLOps infrastructure.
- Other info: Join a dynamic team with opportunities for growth and creativity.
The predicted salary is between 48000 - 72000 Β£ per year.
A sports technology company in London is seeking an Engineering Manager to lead a new team focused on deploying machine learning models to edge devices. In this role, you will mentor engineers while managing the technical aspects of the MLOps infrastructure. You are encouraged to innovate with state-of-the-art AI research and help shape the roadmap for future developments. Remote candidates within the UK are welcome. Competitive benefits and a supportive work environment are provided.
Engineering Manager, Edge AI & MLOps (London/Remote) employer: Hudl
Contact Detail:
Hudl Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Engineering Manager, Edge AI & MLOps (London/Remote)
β¨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working in AI and MLOps. A friendly chat can lead to insider info about job openings or even a referral.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to edge AI and MLOps. This will give potential employers a taste of what you can bring to the table.
β¨Tip Number 3
Prepare for interviews by brushing up on the latest trends in AI and MLOps. We want you to be able to discuss how you can innovate and lead a team effectively.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Engineering Manager, Edge AI & MLOps (London/Remote)
Some tips for your application π«‘
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and machine learning shine through. We want to see how your interests align with our mission in sports technology and how you can contribute to our innovative projects.
Highlight Your Leadership Skills: As an Engineering Manager, you'll be mentoring engineers and managing technical aspects. Make sure to showcase your leadership experience and any successful projects you've led in the past. We love seeing how you've helped teams grow!
Tailor Your Application: Donβt just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the role. We appreciate candidates who take the extra step to show they understand what weβre looking for.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures you donβt miss out on any important updates about the hiring process. Letβs get started on this journey together!
How to prepare for a job interview at Hudl
β¨Know Your Tech Inside Out
Make sure youβre well-versed in the latest trends and technologies in edge AI and MLOps. Brush up on your knowledge of deploying machine learning models and be ready to discuss specific tools and frameworks you've used in past projects.
β¨Showcase Your Leadership Skills
As an Engineering Manager, you'll need to demonstrate your ability to mentor and lead a team. Prepare examples of how you've successfully guided engineers in previous roles, focusing on your approach to fostering innovation and collaboration.
β¨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in managing MLOps infrastructure and how you overcame them. Be ready to explain your thought process clearly.
β¨Align with Their Vision
Research the companyβs mission and recent developments in sports technology. Be prepared to discuss how your experience and ideas can contribute to their roadmap for future innovations, showing that youβre genuinely interested in their work.