At a Glance
- Tasks: Scope and deliver AI projects with top wealth management clients using Python and ML.
- Company: Join a cutting-edge tech firm transforming wealth management with agentic 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 fintech while collaborating with industry leaders.
- Qualifications: 6+ years in software development, strong Python skills, and hands-on 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.
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 employer: Palindrome
At Palindrome, we pride ourselves on being an exceptional employer, offering a high-trust environment where Forward Deployed Engineers can thrive. With competitive salaries and meaningful equity in a rapidly growing company, our team enjoys direct exposure to senior leadership within the wealth management sector, fostering both professional growth and impactful contributions. Our London office serves as a hub for collaboration, while the opportunity to work closely with cutting-edge AI technology ensures that every engineer plays a vital role in shaping the future of wealth management.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer
✨Tip Number 1
Get to know the company inside out before your interview. Dive into their projects, values, and recent news. This will help you connect your skills with what they need, especially when discussing agentic AI and Python.
✨Tip Number 2
Practice explaining complex technical concepts in simple terms. You’ll be chatting with C-suite folks who might not be as tech-savvy, so being able to break down your ML engineering experience will show you can communicate effectively.
✨Tip Number 3
Prepare some real-world examples of how you've scoped and delivered projects. Think about times you’ve turned ambiguous problems into clear solutions, especially in customer-facing roles. This will highlight your ownership and problem-solving skills.
✨Tip Number 4
Don’t forget to showcase your passion for continuous improvement. Talk about how you’ve iterated on models or processes in the past. This aligns perfectly with our ethos at StudySmarter, where we value pushing boundaries and raising the bar.
We think you need these skills to ace Forward Deployed Engineer
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 say you're good at Python; give us examples of what you've built!
Communicate Clearly:Since you'll be working closely with senior stakeholders, it's crucial to demonstrate your written communication skills. Keep your application clear and concise, and make sure to explain complex concepts in a way that anyone can understand. We love a good storyteller!
Tailor Your Experience:When applying, relate your past experiences to the role of Forward Deployed Engineer. Talk about your hands-on ML engineering experience and any customer-facing roles you've had. Show us how your background aligns with our mission at StudySmarter.
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at Palindrome
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and the specific tools mentioned in the job description, like Azure and FastAPI. Brush up on your ML engineering skills, as you'll need to demonstrate your hands-on experience with training and deploying models.
✨Understand the Customer's Needs
Since this role involves scoping projects directly with senior stakeholders, do your homework on the wealth management industry. Familiarise yourself with common challenges they face and think about how agentic AI can provide solutions.
✨Prepare for Technical Discussions
Be ready to discuss your past projects in detail, especially those that involved customer-facing elements. You might be asked to explain your decision-making process and how you’ve handled technical challenges in production environments.
✨Showcase Your Communication Skills
Excellent written and verbal communication is key, especially when dealing with C-suite executives. Practice articulating complex technical concepts in a way that’s easy to understand, and prepare to discuss how you’ve built credibility with clients in the past.
