At a Glance
- Tasks: Develop and enhance AI features in a collaborative team environment.
- Company: Join MUFG Investor Services, a leader in financial solutions with a vibrant culture.
- Benefits: Enjoy hybrid working, professional development, and a supportive team atmosphere.
- Other info: Be part of a dynamic team focused on innovation and growth.
- Why this job: Make an impact by working on cutting-edge AI technology in finance.
- Qualifications: Masters/PhD or equivalent experience, 3+ years in ML/AI engineering, Python proficiency.
The predicted salary is between 36000 - 60000 £ 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.
Job 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) employer: MUFG Investor Services
MUFG Investor Services is an exceptional employer, offering a vibrant culture that fosters innovation and collaboration within a supportive team environment. With a strong focus on learning and development, employees are encouraged to grow their skills while contributing to cutting-edge AI projects in a hybrid working model. Joining MUFG means being part of a leading financial institution that values its people and provides meaningful opportunities for career advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Associate, IT, AI Engineer (Mid Level)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with MUFG employees on LinkedIn. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AI projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and coding challenges. Practice makes perfect, so consider mock interviews with friends or use online platforms to get feedback.
✨Tip Number 4
Don’t forget to 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 the MUFG team!
We think you need these skills to ace Senior Associate, IT, AI Engineer (Mid Level)
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your experience with ML and AI engineering, and don’t forget to mention any relevant projects or tools you've worked with that align with our needs.
Showcase Your Skills:We want to see your Python programming skills shine! Include specific examples of how you've built or improved AI features in past roles. This is your chance to demonstrate your technical prowess and problem-solving abilities.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain your experience and how it relates to the job. We appreciate good communication skills, so make sure your application reflects that!
Apply Through Our Website:Don’t forget to apply through our careers site! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
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 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 to share specific examples of how you've tackled challenges in previous projects. Think about times when you had to refine AI features or improve testing frameworks. This will demonstrate your strong problem-solving skills and attention to detail, which are crucial for this role.
✨Communicate Clearly
Since you'll be working closely with both technical and business teams, practice explaining complex AI concepts in simple terms. Being able to communicate effectively will set you apart and show that you can bridge the gap between different stakeholders.
✨Embrace Collaboration
Highlight your experience working in collaborative environments. Be prepared to discuss how you've contributed to team goals and supported your colleagues in past roles. This will align well with the team's focus on shared delivery and innovation.
