Senior Associate, IT, AI Engineer (Mid Level)

JobsCloseBy Editorial Insights

MUFG Investor Services is looking for a mid level AI Engineer to join the IT AI team in London to contribute to AI feature development for Continuous Product Enhancement initiatives. You will build and refine AI powered features, develop and maintain agent tools and integrations, optimize prompts for production, and support experiment tracking and model versioning with MLflow. You’ll also design tests, establish quality gates, contribute to observability dashboards, and collaborate with Data Scientists and Platform Engineers to productionise research. Requirements include 3+ years in ML/AI, a Masters or PhD or equivalent, proficient Python, and clear cross functional communication. Nice to have: MLOps tooling, GenAI, cloud or Databricks experience, financial services background. To apply, tailor your CV to show CPE delivery, collaboration, delivery velocity, and willingness to learn in a hybrid London environment.

Company Description

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.

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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

#LI-Hybrid

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.