AI Engineer - Fintech/Wealthtech

PlannerPal
London
6 months ago
Applications closed

Related Jobs

View all jobs

AI Engineer- Start/ Scale Up Experience

AI Engineer - Machine Learning LLM

AI Engineer - Machine Learning LLM

AI Software Engineer

Graduate AI Engineer

MLOps & AI Engineer Lead

Join us at PlannerPal.

We are looking for an AI Engineer to join our team at PlannerPal, the financial planner's AI assistant. We are a UK-based, early-stage wealthtech start-up dedicated to reshaping wealth management with AI-driven tools.

Our mission is to democratise wealth management by empowering financial planners and advisers to focus more client relationships over administrative tasks. PlannerPal allows advisers to automatically transcribe and summarise meetings, generate draft letters and documents, and update their CRM system.

Our service has seen rapid takeup by the industry, with over 350 firms using the service in the UK. We are backed by a top-tier venture capital firm alongside seasoned fintech angel investors.

This AI Engineer role is focused on generative AI - ie building applications using large language modes and traditional programming languages (notably Python). It will also involve you working with other parts of our stack (Mongo DB, Node, various AWS services).

As a pivotal early team member, your role will extend from developing and evaluating applications through to solutions design and many aspects of technical product management. You will not just be an employee, but a crucial part of our journey as we transform this industry.

Tasks

  • Design, build and operate generative AI products for the IFA and wealth management industry
  • Keep pace with advancements in the generative AI sector - new models, new application frameworks and architecture patterns, etc
  • Collaborate closely with the firm’s founders on shaping the product roadmap
  • Collaborate closely with the rest of the PlannerPal engineering team

Requirements

  • A Bachelor’s degree in a STEM field
  • 0-3 years of professional experience or more if this is a career transition, preferably in financial services or related fields with demonstrable interest and experience in AI, machine learning, or a related field
  • Proficiency in Python, JavaScript and MongoDB is a plus
  • Some hands-on experience of using of generative AI - either at work or in a hobby project
  • Problem-solving aptitude and enthusiasm for complex challenges
  • Attention to detail and the ability to work independently with a team-oriented work ethic
  • Adaptability in a fast-evolving tech landscape
  • Strong communication skills for effective teamwork and collaboration

Benefits

  • Competitive salary and growth opportunities
  • Remote-first work environment with a collaborative team culture
  • Regular team meet-ups in London to foster team synergy and alignment
  • An open, transparent work environment where your voice is valued and your contributions directly shape the company’s trajectory

We are committed to diversity and inclusion. We welcome applicants from all backgrounds and life stages to join our journey in revolutionising wealth management with AI

Application: Please send your CV with a brief statement of your relevant experience and mention any AI-related projects you have worked on. Please include your right to work in the UK if you are not a UK national.



PlannerPal, The Financial Planner's AI Assistant. We are a UK-based, early-stage wealthtech start-up dedicated to reshaping wealth management with AI-driven tools.

Our product is a transcription tool built specifically for the wealth industry that automatically crafts draft client follow-ups and letters.

Our team is backed by a top-tier venture capital firm alongside seasoned fintech angel investors, our co-founders bring extensive fintech and wealthtech experience, supported by a talented and agile team.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Jobs

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Jobs

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.