At a Glance
- Tasks: Develop and enhance AI-powered features in a collaborative team environment.
- Company: Join MUFG Investor Services, a leader in asset servicing with global reach.
- Benefits: Enjoy competitive salary, professional growth, and a supportive team culture.
- Other info: Dynamic role with opportunities for learning and career advancement.
- Why this job: Make a real impact by working on innovative AI solutions that drive value.
- Qualifications: Masters or PhD with 3+ years in ML/AI engineering and Python skills.
The predicted salary is between 60000 - 75000 € 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.
We are seeking an AI Engineer to join our IT-AI team, contributing to the development and enhancement of AI-powered product features—primarily within our Continuous Product Enhancement (CPE) initiatives. You will work hands-on with AI systems, focusing on building, testing, and improving AI capabilities that deliver value to end users. This role operates within a collaborative team structure, working alongside experienced colleagues and contributing to shared delivery goals. You will focus on the application layer—building and refining AI features—while working within the platform infrastructure.
You Will:
- Build and improve AI-powered features within existing products (CPE focus)
- Develop and maintain agent tools and integrations
- Refine and optimise prompts for production use cases
- Support experiment tracking and model versioning (e.g., MLflow)
- Build and maintain test functions for existing AI tools—including exploring agent-based testing approaches where AI validates AI
- Develop and execute testing frameworks for AI/agent evaluation
- Build and maintain quality gates and automated checks
- Contribute to model observability and dashboard development—tracking performance, quality, and usage patterns
- Work closely with Data Scientists and AI engineers on productionising research outputs
- Coordinate with Platform Engineers on deployment and infrastructure needs
- Support tactical AI solutions in collaboration with team members and other groups—responding to emerging business needs
- Participate in code reviews, documentation, and knowledge sharing
- Operate within team processes and contribute to shared delivery goals
Qualifications
You Have:
- Masters or PHD, or an equivalent amount of professional working experience
- 3+ years of experience in ML and AI engineering
- Proficiency in Python programming skills
- Understanding of ML/AI lifecycle and experiment tracking
- Good communication skills for working with technical and business teams
Good to Have:
- Experience with MLOps tooling (e.g., MLflow)
- Exposure to AI and agent frameworks (e.g., AWS Strands, Azure AI Agent Service, LangChain, LangSmith, CrewAI) is a plus
- Experience with GenAI application development
- Experience with cloud platforms (AWS, Azure) or data platforms (e.g., Databricks)
- Familiar with Git and CI/CD workflows
What We're Looking For:
- Strong problem-solving skills and attention to detail
- Clear communication—able to work effectively across teams
- Works well as part of a team with shared ownership
- Reliable, delivers quality work, and follows through on commitments
- At ease with change—you'll help define how we work, not just follow a playbook
- Eager to learn and grow within a supportive team environment
What This Role Is Not:
This role focuses on AI feature development, not infrastructure. Platform engineering responsibilities (IaC, CI/CD pipelines, infrastructure, MCP server deployment) sit with the Platform Engineering team.
Senior Associate, IT, AI Engineer (Mid Level) in London employer: Mufg Investorservices
MUFG Investor Services is an exceptional employer, offering a dynamic work environment where innovation thrives and collaboration is key. With a strong focus on employee growth, we provide ample opportunities for professional development within the rapidly evolving field of AI engineering. Our supportive culture, backed by the stability of one of the world's largest financial institutions, ensures that you can make a meaningful impact while advancing your career in a cutting-edge sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Associate, IT, AI Engineer (Mid Level) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews! Research MUFG Investor Services and understand their AI initiatives. We recommend practising common interview questions and even some technical ones related to AI engineering. The more prepared you are, the more confident you'll feel!
✨Tip Number 3
Showcase your projects! If you've worked on any AI-related projects or have a portfolio, make sure to highlight them during your discussions. We love seeing real-world applications of your skills, so don’t hold back!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at MUFG Investor Services. Let’s get you started on this exciting journey!
We think you need these skills to ace Senior Associate, IT, AI Engineer (Mid Level) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in AI and ML engineering. 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 position and how you can contribute to our team. Keep it concise but impactful—let your personality come through!
Showcase Your Technical Skills:Since this role is all about AI feature development, make sure to mention your proficiency in Python and any experience with MLOps tools. We love seeing candidates who can demonstrate their technical prowess!
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 the role. Plus, it’s super easy—just a few clicks and you’re done!
How to prepare for a job interview at Mufg Investorservices
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and ML concepts, especially those relevant to the job. Be ready to discuss your experience with AI feature development and any tools you've used, like MLflow or cloud platforms. This will show that you're not just familiar with the theory but can apply it practically.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Think about specific challenges you faced in AI engineering and how you approached them. This will demonstrate your strong problem-solving skills and attention to detail, which are key for this position.
✨Communicate Clearly
Since you'll be working closely with both technical and business teams, practice explaining your past projects in a way that's easy to understand. Clear communication is crucial, so think about how you can convey complex ideas simply and effectively during the interview.
✨Be Ready to Collaborate
This role is all about teamwork, so be prepared to discuss how you've worked collaboratively in the past. Share experiences where you contributed to shared goals and how you handled feedback from peers. Highlighting your ability to work well in a team will resonate with the interviewers.
