At a Glance
- Tasks: Lead the design and delivery of AI services while mentoring a talented team.
- Company: A top-tier information and analytics company with a focus on innovation.
- Benefits: Competitive salary, flexible work options, and a strong work/life balance.
- Why this job: Shape the future of AI while working in a dynamic, collaborative environment.
- Qualifications: Expertise in Python, Kubernetes, and Agile methodologies required.
- Other info: Join a forward-thinking team with opportunities for professional growth.
The predicted salary is between 43200 - 72000 Β£ per year.
A leading information and analytics company is seeking a Software Engineering Lead to provide technical leadership in AI services design and delivery. This role is essential for mentoring developers, ensuring scalable and reliable solutions, and fostering best engineering practices.
You will work closely with cross-functional teams and must possess strong expertise in Python, Kubernetes, and Agile methodologies. A competitive benefits package is available, promoting a healthy work/life balance.
GenAI Platform Lead - Backend & AI Services (Hybrid) in London employer: Elsevier
Contact Detail:
Elsevier Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land GenAI Platform Lead - Backend & AI Services (Hybrid) in London
β¨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with AI services or software engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and Kubernetes. This will give potential employers a taste of what you can do and how you approach problem-solving.
β¨Tip Number 3
Prepare for interviews by brushing up on Agile methodologies and technical leadership scenarios. We recommend practising common interview questions and even doing mock interviews with friends to build confidence.
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 about their job search!
We think you need these skills to ace GenAI Platform Lead - Backend & AI Services (Hybrid) in London
Some tips for your application π«‘
Show Off Your Skills: Make sure to highlight your expertise in Python, Kubernetes, and Agile methodologies in your application. We want to see how your skills align with the role of GenAI Platform Lead!
Tailor Your Application: Donβt just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements mentioned in the job description. It shows us youβre genuinely interested.
Be Yourself: Let your personality shine through in your written application. We value authenticity and want to get a sense of who you are beyond your technical skills.
Apply Through Our Website: For the best chance of success, make sure to apply through our website. Itβs the easiest way for us to keep track of your application and ensures it gets to the right people!
How to prepare for a job interview at Elsevier
β¨Know Your Tech Inside Out
Make sure you brush up on your Python, Kubernetes, and Agile methodologies. Be ready to discuss specific projects where you've applied these skills. The more detailed examples you can provide, the better!
β¨Showcase Your Leadership Skills
As a Software Engineering Lead, you'll need to demonstrate your ability to mentor and guide developers. Prepare examples of how you've successfully led teams or improved processes in previous roles.
β¨Understand the Companyβs Vision
Research the companyβs mission and values. Be prepared to explain how your experience aligns with their goals, especially in AI services design and delivery. This shows that you're not just looking for any job, but that you're genuinely interested in contributing to their success.
β¨Prepare for Cross-Functional Collaboration
Since this role involves working closely with various teams, think of instances where you've collaborated effectively. Be ready to discuss how you handle differing opinions and ensure everyone is on the same page.