Forward Deployed Engineer – Applied AI

MBN Solutions; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

MBN Solutions is partnering with an early-stage AI company transforming wealth-management workflows. We’re seeking an ambitious engineer to own customer problems, build production Python services and data pipelines, and deploy models in client environments.

You’ll work closely with senior stakeholders, ship AI-enabled solutions, and turn deployment learnings into product improvements, with equity on offer and UK-based travel as needed.

Qualifications

• Hands-on experience training or fine-tuning, evaluating and deploying models.
• Strong Python skills with production-grade software delivery.
• Experience deploying to customer cloud environments (Azure/AWS/GCP).
• Excellent communication and customer-facing mindset.

Responsibilities

• Turn business problems into practical AI solutions with stakeholders.
• Build production Python services, agents and data pipelines.
• Train, evaluate and deploy models with quality metrics.
• Deploy into customer cloud environments and monitor performance.
• Iterate product improvements from deployment learnings.

Skills

Python

Production

Cloud experience

Communication

Ambition

Tools

Azure

AWS

GCP

Job description

London/Hybrid (Must be UK based with no visa restrictions)

UK client travel

You’ve built and shipped AI systems. Now you want more ownership: understanding the customer’s problem, making the technical decisions and seeing your work deliver results.

MBN Solutions is partnering with an early-stage AI company transforming how wealth-management firms operate. Its platform brings AI agents into complex, regulated workflows, helping advisers, compliance teams and operations teams work more effectively.

We’re looking for an ambitious, hands‑on engineer with strong foundations and the potential to grow into broader responsibility. You may already be an FDE, or you could be an Applied AI Engineer, Machine Learning Engineer or Python engineer ready to work more closely with customers.

What you’ll do

• Work with senior customer stakeholders to turn real business problems into practical AI solutions.
• Build production Python services, agents and data pipelines.
• Train, evaluate and deploy models, with clear measures of quality and reliability.
• Develop systems for document generation, information capture, file reviews and compliance workflows.
• Deploy into customer cloud environments and take ownership of how your systems perform.
• Turn what you learn from deployments into improvements to the core product.

What we’re looking for

• Strong Python skills and experience shipping software into production.
• Hands-on experience training or fine‑tuning, evaluating and deploying models—not solely connecting applications to model APIs.
• Practical understanding of retrieval, tool use, multi‑step workflows, evaluation and guardrails.
• Cloud experience across Azure, AWS or GCP.
• Clear communication, curiosity and the judgement to work through unfamiliar problems.
• The ambition to take on increasing technical and customer responsibility.

Experience in financial services or another regulated industry would be useful. An existing FDE title isn’t essential: evidence of what you’ve built, how you think and how you learn will matter.

Why consider it?

You’ll gain direct exposure to senior customer leaders, influence an evolving AI product and have room to grow as the business scales. This is an opportunity to build both your engineering depth and your ability to own an engagement from initial problem through to a working production system.

London office presence from time to time with flexibility to work from home in the UK, travel to client sites across the UK, and a competitive salary with meaningful equity.