Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and delivery of AI systems to drive business growth.
- Company: Fast-growing wealth infrastructure company revolutionising investment experiences.
- Benefits: Competitive salary, 28 days annual leave, and a dynamic work environment.
- Other info: Join a collaborative team with excellent career growth opportunities.
- Why this job: Shape cutting-edge AI capabilities and make a real impact in finance.
- Qualifications: 7+ years in data-driven systems, GenAI, NLP or AI engineering.
The predicted salary is between 80000 - 100000 £ per year.
Fundment is a fast-growing wealth infrastructure company, building on our cutting-edge digital investment system to transform the £3 trillion UK wealth management market. We are passionate about revolutionising the investment experience for financial advisers and their clients by combining our innovative proprietary technology with exceptional customer service. As we scale, we are growing our multi-disciplinary Data, Analytics & AI function to unlock the full potential of our data assets.
With our highly scalable tech platform, we are poised to take the industry to the next level in terms of efficiency and service. AI sits at the heart of that. This is a high-impact, hands-on leadership role with the opportunity to shape Fundment’s AI capabilities from the ground up. Reporting to our Head of Data & Analytics, you will lead the design and delivery of AI systems and infrastructure to drive business growth and enhance operational efficiency.
Responsibilities
- Set the functional vision and roadmap for Fundment’s AI capabilities, identifying components needed to ensure alignment with our business goals.
- Enable our AI apps to operate in a high-trust environment, where error tolerance is low and carefully designed guardrails are needed.
- Ensure our AI systems adhere to all applicable data regulatory requirements, AI ethical guidelines, and employ Explainable AI (XAI) techniques.
- Build the GenAI and agentic models that will power our AI products.
- Turn complex and ambiguous questions into structured analyses, clear metrics, and practical recommendations.
- Develop frameworks for assessing model performance, user outcomes, and business impact.
- Define how we measure the quality, reliability, and impact of AI-powered product experiences.
- Design and analyse experiments to evaluate product changes, model updates, and new AI features.
- Identify bias, drift, failure modes, and data quality issues in production AI systems.
- Partner closely with engineering and product to improve logging, instrumentation, and evaluation workflows.
- Communicate results clearly, including uncertainty, assumptions, and decision trade-offs.
- Help build a culture of rigorous experimentation and evidence-based product development.
- Build our AI scientist and engineering capability and recruit other AI professionals of the highest calibre.
- Provide technical guidance, mentorship, and quality assurance frameworks to our multi-disciplinary team of analysts, data scientists and data engineers.
- Work closely with our product and engineering teams to embed our AI capabilities into our platform.
- Translate requirements into technical specifications and project plans, overseeing execution from conception to production.
- Collaborate with cross-functional teams across the company to help both technical and non-technical users leverage our AI capabilities in an optimal and secure way.
Required Skills / Experience
- Proven experience (7+ years) in data-driven systems, GenAI, NLP or AI engineering.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Solid understanding of statistical text processing and analysis.
- Advanced proficiency in SQL for data manipulation and analysis.
- Advanced proficiency in Python.
- A strong grounding in statistics, experimental design, and inference.
- Experienced in architecting AI systems using LLMs, RAG and AI agents.
- Experienced in evaluating AL/ML models for robust outcomes.
- Experience with maintaining AI/ML models and quickly detecting issues.
- Ability to turn open-ended questions into clear product plans, robust metrics, and actionable steps to launch.
- Excellent written and verbal communication, presentation and interpersonal skills.
Preferred Skills / Experience
- Experience in a startup or high-growth environment.
- Knowledge of data privacy and AI regulation, preferably within financial services.
- Familiarity with experimentation platforms, dashboards, or analytics tooling.
- Experience in AI products, SaaS, marketplaces, or other data-rich product environments.
Competitive salary. 28 days annual leave plus.
AI Scientist in London employer: Fundment
Contact Detail:
Fundment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Scientist in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or conferences related to AI and data science. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that demonstrate your ability to build and maintain models. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical teams.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight how your experience aligns with our mission at Fundment.
We think you need these skills to ace AI Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Scientist role. Highlight your experience with data-driven systems, GenAI, and NLP. We want to see how your skills align with our mission at Fundment!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to our innovative tech platform. Let us know why you're excited about joining Fundment and what you can bring to the table.
Showcase Your Projects: If you've worked on relevant AI projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to build AI products and maintain high-quality models. We love seeing real-world applications of your skills!
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’re considered for the role. Plus, it shows you’re keen on being part of our team!
How to prepare for a job interview at Fundment
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially around GenAI and NLP. Be ready to discuss your past experiences in detail, focusing on how you've architected AI solutions and tackled challenges in data-driven environments.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate how you turn complex questions into structured analyses. Think of specific examples where you've developed frameworks for assessing model performance or user outcomes, and be ready to share these during the interview.
✨Understand the Business Impact
Fundment is all about transforming the investment experience. Be prepared to discuss how your AI capabilities can drive business growth and enhance operational efficiency. Show that you understand the company's goals and how your role fits into that vision.
✨Communicate Clearly
Since you'll be working with both technical and non-technical teams, practice explaining complex concepts in simple terms. Highlight your communication skills by preparing to present your ideas clearly and confidently, ensuring everyone understands your insights and recommendations.