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- Tasks: Build AI observability and governance, develop data pipelines, and implement tools.
- Company: Leading banking client with a focus on innovation and technology.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a cross-functional team and shape the future of AI in banking.
- Qualifications: Strong skills in distributed systems and cloud-based AI ecosystems required.
- Other info: Work in a dynamic environment with a focus on collaboration and innovation.
The predicted salary is between 36000 - 60000 £ per year.
A leading banking client is seeking an AI Software Engineer to join a cross-functional team in London. The role involves building AI observability and governance, developing data pipelines, and implementing observability tools using technologies like Python, AWS SageMaker, and Kafka.
Candidates should have strong skills in distributed systems and cloud-based AI ecosystems. This is a hybrid position requiring on-site work twice a week.
AI Platform Engineer: Observability & Governance in London employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Platform Engineer: Observability & Governance in London
✨Tip Number 1
Network like a pro! Reach out to folks in the banking and AI sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python, AWS SageMaker, and Kafka. This is your chance to shine and demonstrate your expertise in observability and governance.
✨Tip Number 3
Prepare for those interviews! Brush up on distributed systems and cloud-based AI ecosystems. We want you to feel confident discussing your experience and how it relates to the role.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace AI Platform Engineer: Observability & Governance in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI observability and governance. We want to see how your skills in Python, AWS SageMaker, and Kafka shine through!
Showcase Your Projects: Include any relevant projects you've worked on that demonstrate your expertise in distributed systems and cloud-based AI ecosystems. We love seeing real-world applications of your skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for AI and how you can contribute to our cross-functional team.
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 get to know you better!
How to prepare for a job interview at Lorien
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, AWS SageMaker, and Kafka. Brush up on your knowledge of distributed systems and cloud-based AI ecosystems, as these will likely come up during technical questions.
✨Showcase Your Projects
Prepare to discuss any relevant projects you've worked on that involve AI observability and governance. Be ready to explain your role, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Banking Sector
Since this role is with a banking client, it’s beneficial to have a grasp of the specific challenges and regulations in the financial sector regarding AI. Research current trends and issues in banking technology to show your interest and understanding of the industry.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the company’s approach to AI governance, and how they measure success in observability. This not only shows your enthusiasm for the role but also helps you gauge if the company is the right fit for you.
