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For Companies At a Glance
- Tasks: Design and maintain AI agents, ensuring security and high availability across platforms.
- Company: Join MUFG Investor Services, a leader in asset servicing with a global presence.
- Benefits: Competitive salary, vibrant culture, and opportunities for innovation and growth.
- Why this job: Work with cutting-edge AI technologies and collaborate with industry experts.
- Qualifications: 5+ years in Platform Engineering/DevOps with strong coding and AWS skills.
- Other info: High visibility role with excellent career advancement opportunities.
The predicted salary is between 36000 - 60000 ÂŁ per year.
MUFG Investor Services is a trusted partner to many of the world’s largest public and private funds, providing asset servicing and operational solutions built for alternatives. With over $1 trillion in client assets under administration, we offer fund administration, banking, payments, fund financing, foreign exchange overlay, corporate and regulatory services, custody, business consulting, and more. Operating from 17 locations worldwide, we help clients mitigate risk, enhance efficiency, and navigate the operational complexities of today’s investment management landscape.
As a division of Mitsubishi UFJ Financial Group (MUFG), one of the world’s largest financial institutions with approximately $3 trillion in assets, we combine deep expertise with the strength and stability of a leading financial institution.
Job Description
You Will:
- Design, deploy, and maintain AI agents on Agent Core MCP servers and MCP gateways.
- Implement and manage observability using OpenTelemetry for logs and traces, integrating with Datadog.
- Ensure security, high availability, and cost optimization across all AI platform components.
- Provide infrastructure and deployment support to AI researchers and engineering teams, enabling integration of cutting‑edge technologies into production.
- Perform load testing, token cost measurement, and optimize resource utilization.
- Facilitate external vulnerability assessments and ensure compliance with security best practices.
- Troubleshoot and resolve platform issues promptly to maintain operational stability.
- Contribute to DevOps workflows, CI/CD pipelines, and automation for AI deployments.
- Support evaluation of third‑party products related to hosting AI agents or enhancing project capabilities.
- Assist in external audits and maintain documentation for platform architecture and processes.
- Develop and execute automation scripts using the AWS Boto3 SDK to deploy, test, and validate AI platform components across multiple environments.
- Implement Infrastructure as Code (IaC) using Terraform to provision and manage cloud resources for AI workloads, ensuring consistency and scalability.
Qualifications
- 5+ Years of experience in Platform Engineering / DevOps practice.
- Deep understanding of DevOps principles, workflows, and best practices.
- Proven experience in platform engineering and full‑stack development.
- Proficiency in API design and integration.
- Hands‑on experience with AWS services.
- Familiarity with OpenTelemetry, Datadog, and observability tooling.
- Solid coding skills in languages commonly used for backend and automation (e.g., Python, Node.js, Go).
- Knowledge of microservices, container orchestration (Kubernetes/EKS), and cloud‑native architectures.
- Extensive knowledge of security practices, cost optimization, and performance testing.
- Interest and familiarity with latest trends in MCPs (Model Context Protocol) and AI agent frameworks.
Preferred Experience
- Working with AI/ML platforms or deploying AI agents in production environments.
- Exposure to high‑scale distributed systems and cloud infrastructure.
- Experience in observability and monitoring for complex systems.
- AWS certifications.
Project Details
- High visibility within the organization.
- Opportunity to work with cutting‑edge AI technologies and collaborate with leading experts.
Additional Information
What’s in it for you to join MUFG Investor Services? Take a look at our careers site and you’ll find everything you’d expect working with one of the fastest‑growing businesses at one of the world’s largest financial groups. Now take another look. Because it’s how we defy expectations that really defines us. You’ll feel that difference in all kinds of ways. Our vibrant CULTURE. Connected team. Love of innovation, laser client focus. So, why settle for the ordinary? Apply now for your next Brilliantly Different opportunity.
We thank all candidates for applying; however, only those proceeding to the interview stage will be contacted.
MUFG is an equal opportunity employer.
Senior MLOps Engineer 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 Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at MUFG or similar companies. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI and DevOps. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios related to MLOps. Practice explaining your thought process clearly; it’s all about demonstrating your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the team at MUFG Investor Services.
We think you need these skills to ace Senior MLOps Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior MLOps Engineer role. Highlight your platform engineering and DevOps experience, especially with AWS and automation tools, to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI technologies and how your background makes you a perfect fit for our team. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any relevant projects, especially those involving AI or cloud infrastructure, make sure to mention them. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our careers site. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at MUFG Investor Services!
How to prepare for a job interview at MUFG Investor Services
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like AWS, OpenTelemetry, and Terraform. Brush up on your coding skills in Python or Node.js, as you might be asked to solve a problem on the spot.
✨Showcase Your DevOps Experience
Prepare to discuss your hands-on experience with CI/CD pipelines and automation. Be ready to share specific examples of how you've implemented DevOps best practices in previous roles, especially in relation to AI deployments.
✨Understand the Business Context
Research MUFG Investor Services and understand their role in the financial sector. Knowing how your work as a Senior MLOps Engineer can impact their operations will show that you’re not just technically skilled but also aligned with their business goals.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about past challenges you’ve faced in platform engineering or security compliance, and be ready to explain how you tackled them effectively.
