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
- 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 employer: Lorien
Lorien is an outstanding employer that fosters a dynamic and inclusive work culture, offering employees the chance to engage in cutting-edge AI projects while enjoying the flexibility of a hybrid working model in London. With a strong emphasis on professional development, team collaboration, and innovative problem-solving, Lorien provides ample opportunities for growth and advancement in the rapidly evolving field of AI engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid AI Platform Engineer - Observability & Governance
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and cloud engineering space on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a GitHub repo showcasing your Python and SQL projects, especially those related to AI governance or observability. It’s a great way to demonstrate your hands-on experience.
✨Tip Number 3
Prepare for technical interviews by brushing up on your AWS SageMaker knowledge. We recommend doing some mock interviews with friends or using online platforms to get comfortable with the questions you might face.
✨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 take that extra step!
We think you need these skills to ace Hybrid AI Platform Engineer - Observability & Governance
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Python, SQL, and AWS SageMaker in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your technical prowess!
Tailor Your Application:Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to connect their experiences to the job description, especially around AI governance and monitoring frameworks.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so make sure your key achievements and experiences shine through without unnecessary fluff.
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. Plus, it’s super easy!
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 best practices. Be prepared to share your thoughts on the importance of observability in AI systems and how it can impact performance and compliance.
✨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 hands-on experience.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to AI governance and observability. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
