At a Glance
- Tasks: Lead a team to deliver AI-powered services for digital identity and fraud detection.
- Company: Join LexisNexis Risk Solutions, a leader in innovative technology.
- Benefits: Enjoy a comprehensive benefits package and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and career advancement.
- Why this job: Make a real impact in AI while mentoring a dynamic engineering team.
- Qualifications: Extensive machine learning experience and strong skills in Python and Java.
The predicted salary is between 70000 - 90000 £ per year.
LexisNexis Risk Solutions is seeking a Lead Engineer to oversee a multidisciplinary engineering team focused on delivering AI-powered services for digital identity and fraud detection. The role combines technical leadership, hands-on architecture, and team mentoring in a dynamic environment.
Ideal candidates will have extensive experience in machine learning, strong skills in Python and Java, and a proven ability to deploy ML services in production.
The position offers a comprehensive benefits package, fostering professional growth and innovation.
Lead AI Engineer - Platform & ML Services employer: LexisNexis Risk Solutions
At LexisNexis Risk Solutions, we pride ourselves on being an exceptional employer that champions innovation and professional development. Our collaborative work culture encourages creativity and teamwork, while our comprehensive benefits package ensures that employees are well-supported in both their personal and professional lives. Located in a vibrant area, we offer unique opportunities for growth and the chance to make a meaningful impact in the field of AI and digital identity.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer - Platform & ML Services
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Lead AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects and any AI services you've deployed. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and Java skills, and be ready to discuss your experience with ML services. We recommend practising common technical questions and scenarios you might face as a Lead Engineer.
✨Tip Number 4
Don’t forget to apply through our website! It’s 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 Lead AI Engineer - Platform & ML Services
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with machine learning, Python, and Java in your application. We want to see how your skills align with the role of Lead AI Engineer, so don’t hold back!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. Mention your experience in deploying ML services in production and how you’ve led teams before. It’ll make your application stand out!
Be Authentic:Let your personality shine through in your written application. We’re looking for someone who can lead and mentor, so share your passion for AI and how you approach teamwork and collaboration.
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 at LexisNexis Risk Solutions!
How to prepare for a job interview at LexisNexis Risk Solutions
✨Know Your Tech Inside Out
Make sure you brush up on your machine learning concepts and be ready to discuss your experience with Python and Java. Be prepared to explain how you've deployed ML services in production, as this will show your hands-on expertise.
✨Showcase Your Leadership Skills
Since the role involves team mentoring, think of examples where you've led a team or project. Highlight your approach to guiding others and how you foster collaboration within a multidisciplinary environment.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in AI projects and how you overcame them, as this will demonstrate your critical thinking and adaptability.
✨Ask Insightful Questions
At the end of the interview, have some thoughtful questions ready about the company's AI initiatives or team dynamics. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
