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 work 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 and AI engineering; Python proficiency required.
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.
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) employer: Mufg Investorservices
MUFG Investor Services is an exceptional employer, offering a dynamic work environment where innovation thrives and collaboration is key. As part of a global financial powerhouse, employees benefit from extensive professional growth opportunities, a supportive culture that encourages learning, and the chance to work on cutting-edge AI projects that have a real impact on the investment management landscape. Located in a vibrant city with access to diverse resources, MUFG provides a unique platform for career advancement while ensuring a healthy work-life balance.
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, especially those at MUFG or similar companies. 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. Practising with friends or using online platforms can help you feel more confident when it’s your turn to shine.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Associate, IT, AI Engineer (Mid Level)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of AI Engineer. Highlight your experience with ML and AI engineering, and don’t forget to mention any relevant projects or tools you've worked with. We want to see how your skills align with what we're looking for!
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 you can contribute to our team. Be sure to mention specific experiences that relate to the job description—this will help us see your fit for the role.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in past roles. We love candidates who can think critically and come up with innovative solutions, especially in the fast-paced world of AI!
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 shows us you’re keen on joining our team at MUFG Investor Services!
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 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 strong problem-solving skills.
✨Communicate Clearly
Since this role involves working closely with both technical and business teams, practice explaining your projects and ideas in a way that's easy to understand. Use clear language and avoid jargon when possible. This will demonstrate your ability to bridge the gap between different teams.
✨Be Ready for Team Dynamics
This position is all about collaboration, so think about how you've worked in teams before. Be prepared to discuss your experiences with shared ownership and how you contribute to team goals. Showing that you can thrive in a collaborative environment will make you a strong candidate.
