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For Companies At a Glance
- Tasks: Develop and enhance AI features in a collaborative team environment.
- Company: Join MUFG Investor Services, a leader in financial services with a vibrant culture.
- Benefits: Enjoy hybrid working, professional development, and a supportive team atmosphere.
- Why this job: Make an impact by working on cutting-edge AI technology in finance.
- Qualifications: Masters or PhD with 3+ years in ML/AI engineering and Python skills.
- Other info: Be part of a dynamic team focused on innovation and growth.
The predicted salary is between 36000 - 60000 ÂŁ per year.
About MUFG Investor Services
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.
Description
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.
Responsibilities
- AI Feature Development & Enhancement
- 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)
- Testing & Quality
- 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
- Support champion/challenger validation before promotion
- Contribute to model observability and dashboard development—tracking performance, quality, and usage patterns
- Collaboration & Delivery
- 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
- Required Skills And Qualifications
- 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)
- Financial services background
- 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.
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 from a career with the fastest‑growing business 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, and next‑level LEARNING & DEVELOPMENT. Oh, and we really walk the talk when it comes to HYBRID WORKING. So, why settle for the ordinary? Apply now for a Brilliantly Different career.
MUFG is an equal opportunity employer.
Senior Associate, IT, AI Engineer (Mid Level) 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 Associate, IT, AI Engineer (Mid Level) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at MUFG Investor Services on LinkedIn. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your AI projects. This is your chance to demonstrate your hands-on experience and creativity in AI feature development.
✨Tip Number 3
Ace the interview by practising common AI engineering questions. We recommend doing mock interviews with friends or using online platforms to build your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re genuinely interested in joining our team.
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 reflects the skills and experiences that align with the AI Engineer role. Highlight your proficiency in Python, ML/AI lifecycle, and any relevant projects you've worked on. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a great fit for our IT-AI team. Be sure to mention any experience with MLOps tooling or cloud platforms if you have it.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—give examples of how you've tackled challenges in previous roles. We love candidates who can demonstrate strong problem-solving abilities and attention to detail, so share those stories!
Apply Through Our Website: We encourage you to apply directly through our careers site. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the info you need about our vibrant culture and opportunities for growth!
How to prepare for a job interview at MUFG Investor Services
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI and ML concepts, especially those relevant to the role. Be ready to discuss your experience with Python programming and any MLOps tools you've used, like MLflow. This will show that you're not just familiar with the theory but can apply it practically.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in previous roles. Think about challenges you've faced in AI feature development or testing frameworks, and be ready to explain your thought process and the outcomes. This will highlight your analytical skills and attention to detail.
✨Communicate Clearly
Since this role involves collaboration with various teams, practice articulating your ideas clearly and concisely. You might be asked to explain technical concepts to non-technical stakeholders, so being able to bridge that gap is crucial. Consider doing mock interviews to refine your communication style.
✨Embrace the Team Spirit
This position is all about working within a collaborative team structure. Be prepared to discuss how you've contributed to team goals in the past and your approach to sharing knowledge. Highlighting your ability to work well with others will demonstrate that you're a good fit for their culture.
