At a Glance
- Tasks: Build AI solutions that streamline admin for financial advisers and enhance client support.
- Company: Fast-growing wealth infrastructure company transforming the UK wealth management market.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative culture focused on innovation, support, and work-life balance.
- Why this job: Join a dynamic team to shape AI capabilities and make a real impact in finance.
- Qualifications: 5+ years in AI engineering, strong SQL and Python skills, and experience with MLOps.
The predicted salary is between 63000 - 77000 £ per year.
Build AI that gives financial advisers less admin and more time with clients. Fundment is a fast-growing wealth infrastructure company combining proprietary technology with exceptional customer service to transform the UK wealth management market. As we grow our Data, Analytics & AI function, we’re looking for a hands‑on Senior AI Engineer to help shape our AI capabilities from the ground up.
About the Role
Reporting to our Head of Data & Analytics, you’ll join experienced AI engineers to deliver practical, production-ready systems for advisers and Fundment colleagues—streamlining administration, automating communications and improving client support.
Key Responsibilities
- AI Product Development: Identify high-impact opportunities with the business and build robust AI solutions that reduce administration and support growth. Use multi-modal data—including time-series data, documents, emails and phone calls—to improve operational quality and efficiency.
- AI/ML Operations: Build end-to-end MLOps pipelines, with model governance, a version-controlled model registry and consistent deployment standards. Define success metrics and monitor production performance, prediction latency and model performance decay to drive continuous improvement.
- Empowering Colleagues & Stakeholders: Build reusable components with the AI team and translate business requirements into technical specifications and project plans, owning delivery from concept to production. Help technical and non-technical colleagues use AI effectively and securely.
Experience: Proven experience (5+ years) in data-driven systems or AI engineering.
Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Core Technical skills:
- Advanced proficiency in SQL for data manipulation and analysis.
- Advanced proficiency in Python and preferably other programming languages.
- Experience with containerisation technologies including Docker.
- Experienced with Infrastructure as Code (e.g. Terraform).
AI Experience:
- Experienced in building AI systems using LLMs, RAG and AI agents.
- Experienced in turning AI/ML prototypes into robust production systems.
- Experience with AI/MLOps pipeline and production monitoring systems.
Communication: Excellent written and verbal communication, presentation and interpersonal skills. Experience in a startup or high-growth environment.
Knowledge of data privacy and AI regulation, preferably within financial services. Experience in building the infrastructure and tools to support effective A/B testing and experimentation. Experience in GCP Vertex AI platform, including Vertex AI Pipelines, Model Registry, and Vertex AI Endpoints. GCP Professional Machine Learning Engineer certifications.
Our Values at Fundment:
- Collaborative: We listen, communicate and work towards shared goals.
- Innovative: We push boundaries and improve our solutions.
- Supportive: We help each other grow and succeed.
- Flexible: We adapt to team and client needs, supporting work-life balance and effective outcomes.
- Trustworthy: We act consistently and transparently, delivering on our promises.
Senior AI Engineer employer: Fundment Limited
Fundment Limited is an exceptional employer located in the heart of London, offering a dynamic work culture that fosters innovation and collaboration. As a Senior Python Backend Engineer, you will have access to cutting-edge technologies and opportunities for professional growth, all while contributing to a meaningful fintech platform that empowers users. With a strong focus on employee development and a commitment to maintaining a supportive environment, Fundment stands out as a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Fundment Limited or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Fundment Limited.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Fundment Limited.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Fundment Limited that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Fundment Limited.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Fundment Limited and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Fundment Limited
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Fundment Limited uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
