At a Glance
- Tasks: Develop AI governance frameworks and monitor AI systems in a hands-on role.
- Company: Join Lorien, a forward-thinking company at the forefront of AI technology.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with opportunities to shape the future of AI.
- Why this job: Make a real impact in AI engineering while working with cutting-edge technologies.
- Qualifications: Strong skills in Python, SQL, and experience with AWS SageMaker.
The predicted salary is between 60000 - 80000 £ per year.
Lorien is seeking an exceptional AI Engineer to work on a hybrid basis in London, contributing to the development of AI governance and monitoring frameworks. This role demands strong skills in Python, SQL, and cloud-based AI/ML ecosystems, particularly AWS SageMaker.
The successful candidate will build scalable services, contribute to data pipelines, and ensure the observability of AI systems across the bank. This is a hands-on role with high impact at the intersection of distributed systems and AI engineering.
Hybrid AI Platform Engineer - Observability & Governance in London employer: Lorien
Lorien is an outstanding employer that fosters a collaborative and innovative work culture, particularly for those in the AI engineering field. With a strong emphasis on employee growth, you will have access to cutting-edge technology and training opportunities in the vibrant city of London, allowing you to make a significant impact in AI governance and monitoring frameworks. The hybrid working model promotes a healthy work-life balance, making it an ideal place for talented individuals seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid AI Platform Engineer - Observability & Governance in London
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and cloud engineering space on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and AWS SageMaker. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with observability and governance frameworks, as well as any challenges you've faced in AI engineering.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and take the time to engage with us directly. It shows you're serious about landing that role!
We think you need these skills to ace Hybrid AI Platform Engineer - Observability & Governance in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, SQL, and AWS SageMaker. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background in AI governance and monitoring frameworks makes you a perfect fit for us.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in distributed systems or AI engineering. We love seeing candidates who can think critically and innovate solutions!
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 Lorien
✨Know Your Tech Stack
Make sure you brush up on your Python, SQL, and AWS SageMaker skills. Be ready to discuss how you've used these technologies in past projects, as well as any challenges you faced and how you overcame them.
✨Understand AI Governance
Familiarise yourself with AI governance frameworks and monitoring practices. Be prepared to share your thoughts on best practices for ensuring the observability of AI systems, as this will show your depth of knowledge in the field.
✨Showcase Your Problem-Solving Skills
Think of specific examples where you've built scalable services or contributed to data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's approach to AI governance and observability. This not only shows your interest in the role but also helps you gauge if the company aligns with your career goals.
