At a Glance
- Tasks: Design and deploy AI software solutions that drive business value.
- Company: Leading media company with a focus on innovation and technology.
- Benefits: Hybrid work model, competitive salary, and excellent benefits.
- Why this job: Join a dynamic team and shape the future of AI in media.
- Qualifications: 8+ years in software engineering, backend development, and Python expertise.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading media company is looking for an experienced Lead Engineer to join their AI Enablement team. This role involves designing, building, and deploying AI-enabled software solutions across the organization.
The ideal candidate will have over 8 years of software engineering experience, a solid background in backend development, and proficiency in Python, particularly within Azure environments.
You will work closely with product teams to create practical solutions that deliver significant business value. This position offers a hybrid work model and competitive benefits.
Lead AI Engineer — Production AI & Platforms (Hybrid) employer: Bauer Media Outdoor UK
Contact Detail:
Bauer Media Outdoor UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer — Production AI & Platforms (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at the company you're eyeing. A friendly chat can sometimes lead to insider info or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your AI projects and backend development work. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Ace the interview! Research common interview questions for Lead AI Engineers and practice your responses. Be ready to discuss your experience with Python and Azure, and how you've delivered business value in past roles.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, ensuring it gets seen by the right people. Plus, you'll be one step closer to joining our awesome team!
We think you need these skills to ace Lead AI Engineer — Production AI & Platforms (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in software engineering and backend development. We want to see how your skills in Python and Azure can shine through, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for the Lead AI Engineer role. Share specific examples of your past projects and how they’ve delivered business value, just like we aim to do at StudySmarter.
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've designed and deployed AI solutions. We love seeing how you tackle challenges and create practical solutions that make a difference.
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 from our team!
How to prepare for a job interview at Bauer Media Outdoor UK
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and Azure knowledge. Be ready to discuss specific projects where you've implemented AI solutions, as well as the challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
As a Lead Engineer, you'll need to demonstrate your ability to guide teams. Prepare examples of how you've led projects or mentored junior engineers, focusing on how your leadership contributed to successful outcomes.
✨Understand the Business Impact
Be prepared to talk about how your technical solutions have delivered business value in previous roles. Think about metrics or case studies that highlight your contributions to the bottom line.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI strategy and how the role fits into their overall goals. This shows your genuine interest and helps you assess if it's the right fit for you.