At a Glance
- Tasks: Design and implement AI solutions for major banking clients, leading projects from prototype to production.
- Company: Global consulting firm at the forefront of AI technology in finance.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with strong career advancement potential.
- Why this job: Join a dynamic team and shape the future of AI in banking.
- Qualifications: Experience in software or data engineering, with a focus on AI delivery.
The predicted salary is between 80000 - 100000 £ per year.
Our client is a global consulting firm building and deploying production AI systems for major banking clients. They are looking to hire multiple AI engineers at Manager, senior manager or associate director level. These roles sit at the intersection of engineering and delivery — designing scalable agentic solutions, leading technical implementation, and owning the path from prototype to production. You'll work across the full stack: LLM architecture, RAG pipelines, MLOps, CI/CD, and regulatory compliance, collaborating with data scientists, architects, and senior client stakeholders to ship AI that works at enterprise scale.
Core requirements
- Proven software or data engineering background, with a track record of applied AI delivery using Python and SQL
- Experience in banking or broader financial services
- Solid grasp of LLM fundamentals — prompt engineering, fine-tuning, embedding models, and RAG patterns
- Hands-on experience with at least one vector database (e.g. Pinecone) and at least one agent framework (e.g. LangChain, LangGraph, or Agent Development Kit)
- Ability to design and build evaluation frameworks for agentic systems
- Comfortable building API-enabled backend services, e.g. FastAPI
- MLOps or LLMOps knowledge, including CI/CD pipeline setup for ML or agent development
- Experience with at least one hyperscaler stack — AWS, Azure, GCP, or Databricks; cloud certifications preferred
- Familiarity with Agile or SaFe delivery methodologies
The role also requires
- Senior stakeholder management — translating technical concepts clearly for non-technical audiences
- Experience scoping and estimating agentic AI builds, including commercial thinking around ROI
- Dependent on level, confidence contributing to bids, RFPs, and proposal development
- Experience managing and developing junior team members
- Client-facing and delivery-led. You'll manage teams, shape proposals, and own outcomes.
AI Engineer - Banking or Capital Markets - Consulting employer: Milburn Lewis
As a leading global consulting firm, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from extensive growth opportunities, including professional development programmes and mentorship, all while working in a vibrant location that promotes work-life balance. Join us to be part of a team that values your contributions and supports your career aspirations in the exciting fields of Data and AI within Banking and Capital Markets.
