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- Tasks: Deploy and manage AI agents while ensuring platform reliability and optimal operations.
- Company: Global financial services provider leading in AI initiatives.
- Benefits: Hybrid work model, competitive salary, and opportunities for innovation.
- Why this job: Join a cutting-edge team and make an impact in the AI space.
- Qualifications: 5+ years in DevOps, strong AWS experience, and coding skills in Python.
- Other info: Exciting projects with excellent career growth potential.
The predicted salary is between 48000 - 72000 £ per year.
A global financial services provider is seeking a skilled MLOps / Platform Engineer to join its AI initiative in Greater London. This role focuses on deploying and managing AI agents, ensuring platform reliability and optimal operations.
Key responsibilities include:
- Designing infrastructure
- Implementing observability
- Supporting AI Engineers
Candidates should have:
- 5+ years in DevOps and platform engineering
- Strong AWS experience
- Coding skills in Python or similar languages
This position offers a hybrid work model and the chance to work on innovative projects.
Senior MLOps Platform Engineer — Hybrid in London employer: MUFG Investor Services
Contact Detail:
MUFG Investor Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior MLOps Platform Engineer — Hybrid in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in MLOps or AI. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS and Python. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common MLOps scenarios. Think about how you would design infrastructure or implement observability in real-world situations. We want you to shine!
✨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 are proactive about their job search.
We think you need these skills to ace Senior MLOps Platform Engineer — Hybrid in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in MLOps and platform engineering. We want to see how your skills align with the role, so don’t be shy about showcasing your AWS expertise and coding prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit for our AI initiative. Let us know what innovative projects you’ve worked on!
Showcase Relevant Projects: If you've worked on any projects that involved deploying AI agents or ensuring platform reliability, make sure to mention them. We love seeing real-world applications of your skills, so share those success stories!
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. Don’t miss out!
How to prepare for a job interview at MUFG Investor Services
✨Know Your Tech Inside Out
Make sure you brush up on your AWS skills and any relevant coding languages like Python. Be ready to discuss specific projects where you've deployed AI solutions or managed platform reliability. The more detailed examples you can provide, the better!
✨Understand the Company’s AI Initiative
Do some homework on the global financial services provider and their AI initiatives. Familiarise yourself with their recent projects and how they integrate AI into their operations. This shows genuine interest and helps you align your answers with their goals.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to MLOps and platform engineering. Think about challenges you've faced in previous roles and how you overcame them. Practising these scenarios can help you articulate your thought process clearly.
✨Showcase Your Teamwork Skills
Since this role involves supporting AI Engineers, be prepared to discuss how you collaborate with others. Share examples of successful teamwork and how you’ve contributed to a positive team dynamic. Highlighting your interpersonal skills can set you apart from other candidates.