Forward Deployed Engineer in London

Forward Deployed Engineer in London

London Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Scope and design AI projects with top clients, using Python and ML engineering.
  • Company: Join a cutting-edge tech firm transforming wealth management with AI.
  • Benefits: Competitive salary, equity options, and a high-trust work environment.
  • Other info: Dynamic role with opportunities for growth and direct client engagement.
  • Why this job: Make a real impact in the fintech space while working with industry leaders.
  • Qualifications: 6+ years in software development, strong Python skills, and ML experience.

The predicted salary is between 80000 - 100000 £ per year.

Embed with our wealth management customers across the UK. Scope agentic AI projects directly with senior business stakeholders, then design, train and ship the systems that solve them. Pure Python, ML engineering and customer ownership in one role. Palindrome is the agentic operating system for modern wealth management. Our platform pairs always-on AI agents with adviser, compliance and operations teams across firms managing combined assets of over £70 billion. We are a Microsoft Agentic Launchpad cohort company alongside NVIDIA, ISO 27001, SOC 2 Type II and ISO 42001 certified, and selected for the FCA's AI Live Testing programme.

About the role

Forward Deployed Engineering is the function that turns Palindrome from product into production outcomes. You will sit at the intersection of customer, product and ML, scoping agentic AI projects directly with the customer, then designing, training, evaluating and shipping the systems that solve them. This is not a delivery role and it is not pure research. You will write the Python that runs in production, own technical decisions end-to-end, and be the engineer the customer trusts to make the call when something needs to change.

What you'll do

  • Scope agentic AI projects directly with C-suite, heads of compliance and senior advisers.
  • Translate ambiguous business problems into well-defined ML systems.
  • Design, train and evaluate agentic systems for real customer workflows, document generation, file reviews, fact-find capture, suitability writing, compliance monitoring, next-best actions.
  • Deploy Palindrome inside the customer's own Azure tenant using Entra ID, Key Vault, private VNets and Azure AI Foundry. Operate it from day one.
  • Own the eval loop. Define the metrics, build the test sets, measure model behaviour against customer ground truth, iterate.
  • Build reusable Python abstractions from what you see in the field and push them into the core platform, every customer makes the next deployment faster.
  • Carry the pager when your customer needs it. Raise the bar on quality and on what is possible when something breaks.

What we're looking for

  • 6+ years building software in production, ideally at the senior or staff level.
  • Strong in Python. You will write Python daily, backend services, agents, evals, data pipelines.
  • Hands-on ML engineering experience: trained, evaluated and deployed models in production, not just used them via an API.
  • Real comfort with cloud infrastructure. Azure preferred; AWS or GCP experience translates well.
  • Excellent written communication and the credibility to sit opposite a CTO or head of compliance. Scoping from a blank page is part of the job.
  • Real opinions on agentic AI patterns: tool use, retrieval, multi-step reasoning, evals, guardrails.
  • Customer-facing experience preferred. Wealth, fintech or another regulated industry is a strong plus.

Stack and tools

  • Python (FastAPI, Pydantic, async stack), Azure (App Services, Functions, AI Foundry, Key Vault, Entra ID, Private VNet), Postgres, OpenAI and Anthropic models, evaluation frameworks for agentic systems, Microsoft Graph (Teams, Outlook, SharePoint), CRM integrations including XPLAN, Salesforce, Dynamics 365, Plannr and Intelliflo.

What we offer

  • Competitive base salary with meaningful equity in an early-stage company on a sharp growth trajectory.
  • High-trust environment. Minimal process, maximum ownership.
  • Direct exposure to senior leadership at the largest UK wealth firms.
  • Microsoft Agentic Launchpad cohort, access to the Microsoft, NVIDIA and partner network.
  • London office presence with travel to client sites across the UK.

Forward Deployed Engineer in London employer: Palindrome

At Palindrome, we pride ourselves on being an exceptional employer, offering a high-trust environment where engineers can take ownership of their projects and directly impact the wealth management sector. With competitive salaries, meaningful equity, and direct exposure to senior leadership in major UK firms, our culture fosters innovation and collaboration, while our commitment to employee growth ensures that you will continually develop your skills in a cutting-edge field. Join us in London and be part of a dynamic team that is shaping the future of agentic AI in finance.

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Contact Details:

Palindrome Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Forward Deployed Engineer in London

Tip Number 1

Network like a pro! Get out there and connect with people in the wealth management and fintech sectors. Attend industry events, join relevant online forums, and don’t be shy about reaching out on LinkedIn. You never know who might have the inside scoop on job openings!

Tip Number 2

Show off your skills! Create a portfolio showcasing your Python projects and ML systems. This is your chance to demonstrate your hands-on experience and problem-solving abilities. Make sure it’s easy to access and share when you’re chatting with potential employers.

Tip Number 3

Prepare for those interviews! Research common questions for Forward Deployed Engineers and practice your responses. Be ready to discuss your past projects, especially how you’ve scoped AI solutions and worked directly with customers. Confidence is key!

Tip Number 4

Apply through our website! We want to see your application come through directly. It shows initiative and gives us a chance to see your enthusiasm for joining our team. Plus, you’ll get to explore all the exciting opportunities we have to offer!

We think you need these skills to ace Forward Deployed Engineer in London

Python
Machine Learning Engineering
Cloud Infrastructure (Azure preferred)
Data Pipelines
Communication Skills
Customer-Facing Experience
Project Scoping

Some tips for your application 🫡

Show Off Your Python Skills:Make sure to highlight your Python expertise in your application. We want to see how you've used it in real-world projects, especially in production environments. Don't just list your skills; give us examples of how you've built and deployed systems using Python.

Communicate Clearly:Since you'll be working closely with senior stakeholders, it's crucial to demonstrate your written communication skills. Use clear and concise language in your application to show that you can translate complex ideas into understandable terms. This will help us see your potential to engage with C-suite executives.

Focus on Customer Experience:We love candidates who understand the importance of customer ownership. Share any experiences where you've directly interacted with clients or stakeholders to solve problems. This will show us that you can scope projects effectively and build trust with customers.

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining the StudySmarter team!

How to prepare for a job interview at Palindrome

Know Your Python Inside Out

Since this role heavily relies on Python, make sure you brush up on your skills. Be prepared to discuss your past projects and how you've used Python in production environments. Practising coding challenges can also help you demonstrate your proficiency.

Understand the Customer's Needs

This position involves scoping AI projects directly with senior stakeholders. Research the company and its clients beforehand. Think about how you can translate their business problems into ML solutions, and be ready to share your ideas during the interview.

Familiarise Yourself with Azure

As Azure is preferred for this role, ensure you're comfortable discussing cloud infrastructure. Brush up on Azure services like App Services and Key Vault, and be ready to explain how you've deployed models in a cloud environment in the past.

Communicate Clearly and Confidently

You'll need to interact with C-suite executives and heads of compliance, so practice articulating complex technical concepts in simple terms. Prepare examples of how you've effectively communicated with non-technical stakeholders in previous roles.