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 opportunities to manage teams and develop junior talent.
- 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 in London 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 unique blend of professional challenge and personal fulfilment, 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 in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking and AI sectors. Attend industry meetups or webinars where you can chat with potential employers and showcase your skills. Remember, it’s all about who you know!
✨Tip Number 2
Showcase your projects! Create a portfolio that highlights your experience with LLMs, MLOps, and any relevant AI systems you've built. This is your chance to demonstrate your hands-on skills and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to explain complex concepts in simple terms, especially since you'll be dealing with senior stakeholders. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace AI Engineer - multiple levels - Banking or Capital Markets - Consulting in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role. Highlight your experience in AI delivery, especially with Python and SQL, and don’t forget to mention any banking or financial services background. We want to see how your skills align with what we’re looking for!
Showcase Your Projects:Include specific projects where you've designed scalable solutions or worked with LLMs and MLOps. We love seeing real examples of your work, so don’t hold back on the details that show off your expertise!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use straightforward language to explain your technical skills and experiences. Remember, we need to understand your capabilities quickly, so clarity is key!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the right level. Plus, it’s super easy to do!
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 projects where you've used Python, SQL, and any vector databases like Pinecone. Highlight your experience with MLOps and CI/CD pipelines, as these are crucial for the role.
✨Communicate Clearly with Stakeholders
Since this role involves senior stakeholder management, practice explaining complex technical concepts in simple terms. Think about how you can translate your technical expertise into business value, especially when discussing ROI and project outcomes.
✨Be Ready for Team Management Questions
Expect questions about your experience managing and developing junior team members. Prepare examples that showcase your leadership style and how you've successfully guided teams through challenges in AI delivery.
