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 70000 - 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 - multiple levels - 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 among AI engineers at all levels. Our commitment to employee growth is evident through tailored development programmes and opportunities to work on cutting-edge AI projects within the banking sector, ensuring that you not only contribute to impactful solutions but also advance your career in a supportive environment. Located in a vibrant city, our office offers a stimulating atmosphere where creativity thrives, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer - multiple levels - Banking or Capital Markets - Consulting
✨Tip Number 1
Network like a pro! Reach out to folks in the banking and AI sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about sliding into DMs. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those related to banking or capital markets. This could be anything from prototypes to production systems. It’s a great way to demonstrate your hands-on experience and technical prowess.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of LLMs and MLOps. Be ready to discuss your experience with Python, SQL, and any vector databases you’ve worked with. Practice explaining complex concepts in simple terms – it’ll impress those senior stakeholders!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented AI engineers. Plus, applying directly can sometimes give you an edge over other candidates. So, get your application in and let’s make some AI magic happen together!
We think you need these skills to ace AI Engineer - multiple levels - Banking or Capital Markets - Consulting
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Engineer role. Highlight your software or data engineering background, especially any experience in banking or financial services. We want to see how you can bring your unique expertise to our team!
Showcase Your Projects:Include specific examples of projects where you've applied AI delivery using Python and SQL. If you've worked on LLM architecture or MLOps, let us know! This is your chance to shine and show us what you've built.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your technical skills and experiences, especially when discussing complex topics like RAG pipelines or API-enabled backend services. We appreciate clarity as much as complexity!
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 to join our team at StudySmarter!
How to prepare for a job interview at Milburn Lewis
✨Know Your AI Fundamentals
Make sure you brush up on your understanding of LLM fundamentals, prompt engineering, and RAG patterns. Be ready to discuss how you've applied these concepts in real-world scenarios, especially in banking or financial services.
✨Showcase Your Technical Skills
Prepare to demonstrate your software or data engineering background. Bring examples of your work with Python, SQL, and any vector databases like Pinecone. If you've built API-enabled backend services, be ready to talk about that too!
✨Understand the Business Context
Since this role involves senior stakeholder management, think about how you can translate complex technical concepts into simple terms for non-technical audiences. Practice explaining your past projects in a way that highlights their business impact.
✨Be Ready for Team Dynamics
This position requires managing teams and developing junior members. Prepare examples of how you've led teams in the past, shaped proposals, and contributed to successful project outcomes. Show them you're not just a tech whiz but also a great team player!
