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MUFG Investor Services

Senior Associate, IT, AI Engineer (Mid Level)

Hybrid

London, United kingdom

Senior

Full Time

19-02-2026

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Skills

Communication Python CI/CD Test Problem-solving Research Attention to detail Programming git Azure AWS cloud platforms Langchain python programming CI/CD Pipelines Databricks

Job Specifications

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. To learn more, visit us at www.mufg-investorservices.com.

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.

You Will:

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

You Have:

Required Skills And Qualifications

Masters or PHD, or an equivalent amount of professional working experience
3+ years of experience in ML and AI engineering
Proficency 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.

About the Company

MUFG Investor Services partners with some of the world’s largest public and private funds, providing comprehensive support across every stage of the investment lifecycle. A global leader in asset servicing with over $1 trillion in client assets under administration, the company is renowned for its innovative solutions, tailored client-centric approach, operational transformation expertise, and unwavering focus on alternative investments. Operating from 17 locations worldwide, MUFG Investor Services partners with clients to ... Know more