At a Glance
- Tasks: Lead a team to deliver AI-powered services for digital identity and fraud detection.
- Company: LexisNexis Risk Solutions, a leader in innovative technology.
- Benefits: Comprehensive benefits package, fostering professional growth and innovation.
- Other info: Join a fast-paced environment with opportunities for career advancement.
- Why this job: Make an impact in AI while mentoring a dynamic engineering team.
- Qualifications: Extensive machine learning experience and strong Python/Java skills required.
The predicted salary is between 80000 - 100000 £ 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
- 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 in London employer: LexisNexis Risk Solutions
At LexisNexis Risk Solutions, we pride ourselves on being an exceptional employer that champions innovation and professional development. Our dynamic work culture encourages collaboration and creativity, providing employees with comprehensive benefits and opportunities for growth in the rapidly evolving field of AI and machine learning. Join us in our mission to deliver cutting-edge solutions in digital identity and fraud detection, all while working in a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer - Platform & ML Services in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving machine learning and AI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Practice coding challenges in Python and Java, and be ready to discuss your experience with deploying ML services. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. 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 in London
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 any leadership roles you've had. It helps us see why you’re the perfect fit!
Be Authentic:Let your personality shine through in your written application. We value authenticity and want to get a sense of who you are beyond just your technical skills. Share your passion for AI and innovation!
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 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 project or guided a team. Highlight your ability to inspire and support others, as this is crucial for a Lead Engineer position.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in previous roles and how you overcame them, especially in the context of AI and fraud detection.
✨Ask Insightful Questions
At the end of the interview, have some thoughtful questions ready about the company's approach to AI and digital identity. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
