At a Glance
- Tasks: Lead AI projects, develop innovative machine learning models, and collaborate with cross-functional teams.
- Company: Quilter plc, a top financial advice and wealth management provider in the UK.
- Benefits: Generous holiday, pension scheme, private medical insurance, and performance incentives.
- Other info: Inclusive culture that values diversity and promotes professional growth.
- Why this job: Join a dynamic team to shape the future of AI in finance and make a real impact.
- Qualifications: PhD or MSc in AI, strong ML and NLP skills, and experience with leading frameworks.
The predicted salary is between 80000 - 100000 £ per year.
Quilter plc is a leading provider of financial advice, investments and wealth management, committed to being the UK’s best wealth manager for clients and their advisers. Quilter oversees £141.2 billion in customer investments (as at December 2025). The business offers financial advice, investment platforms, multi‑asset investment solutions and discretionary fund management.
The new role sits within the Chief Data Office (CDO) and reports to the Head of AI. Key accountabilities for the role are as follows:
- AI/ML Solution Delivery: Hands‑on end‑to‑end development and deployment of both traditional and GenAI/Agentic AI based machine learning models, including discovery analytics, experimental design, model development, benchmarking, enhancement and deployment.
- Model Design, Prompt Engineering & Evaluation: Design and execute experiments to benchmark and evaluate model performance using classical metrics (precision, recall, F‑score) and GenAI/Agentic AI specific techniques (LLM‑as‑a‑Judge, ROUGE, GANs). Develop and refine prompts to optimise GenAI model reasoning, accuracy and overall effectiveness.
- Responsible AI: Apply a strong understanding of ethical AI principles and governance frameworks, ensuring robust model validation and ongoing monitoring with regulatory and organisational standards.
- Cross‑Functional Collaboration: Work closely with business partners, stakeholders and technical teams to translate business requirements into impactful AI solutions.
- Research & Innovation: Stay abreast of emerging tools, techniques and best practices in LLMs, RAG, GenAI, Agentic AI model development & evaluation techniques and proactively apply new knowledge to drive innovation.
About You:
- PhD or MSc in Artificial Intelligence, Machine Learning, Computer Science or a related STEM field.
- Knowledge: Strong foundation in core machine learning algorithms and deep learning concepts; in‑depth understanding of NLP model development and LLM fine‑tuning, evaluation and monitoring framework; deep understanding of prompt engineering techniques; solid grasp of data structures and handling for both structured and unstructured data; demonstrate expertise in designing, building and deploying AI agents to solve complex business problems; awareness of AI governance and regulatory considerations, especially in financial services.
- Experience: Proven track record in building, fine‑tuning and evaluating traditional ML, NLP and LLM‑based models; hands‑on experience with leading ML frameworks and LLM libraries; strong experience in stakeholder management; experience in GenAI and AI Agent development and deployment using scalable cloud platforms; deep expertise in AI model evaluation framework and ongoing monitoring techniques; expertise in providing technical leadership and mentoring AI Scientists.
- Skills: Advanced programming skills in Python; strong data engineering and data wrangling abilities; expertise in model development, evaluation, benchmarking and continuous improvement; effective communication skills; problem‑solving mindset, curiosity and a passion for staying up to date with the latest advancements; ability to document work clearly and adhere to best practices in reproducibility and model governance.
Inclusion & Diversity: We value diversity and strive to promote inclusivity in all aspects of our culture. We believe in equal opportunities for all, ensuring that no applicant encounters less favourable treatment based on anything but their skills, qualifications, experience and potential.
Values: Do the right thing; Always curious; Embrace challenge; Stronger together.
Core Benefits: Holiday: 182 hours (26 days); Quilter Incentive Scheme; Pension Scheme; Private Medical Insurance; Life Assurance; Income Protection; Healthcare Cash Plan.
Lead AI Scientist in London employer: Quilter
Contact Detail:
Quilter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your AI expertise. Be ready to discuss your past projects and how they relate to the role at Quilter. Confidence is key, so rehearse until you feel comfortable!
✨Tip Number 3
Don’t just apply and wait! Follow up on your applications after a week or two. A quick email expressing your continued interest can keep you on their radar and show that you're genuinely keen on the position.
✨Tip Number 4
Use our website to apply directly! It’s the best way to ensure your application gets seen. Plus, it shows you’re proactive and serious about joining the team at Quilter.
We think you need these skills to ace Lead AI Scientist in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead AI Scientist role. Highlight your relevant experience in AI and machine learning, and don’t forget to showcase any projects that align with the key accountabilities mentioned in the job description.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your skills can contribute to Quilter's mission. Be sure to mention specific experiences that demonstrate your expertise in model development and ethical AI.
Showcase Your Technical Skills: Since this role requires advanced programming skills and knowledge of ML frameworks, make sure to list these prominently. Include any relevant certifications or courses you've completed that relate to AI, machine learning, or data science.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Quilter
✨Know Your AI Stuff
Make sure you brush up on your knowledge of machine learning algorithms, especially those mentioned in the job description like Neural Nets and Transformers. Be ready to discuss your hands-on experience with frameworks like PyTorch and TensorFlow, as well as your understanding of prompt engineering techniques.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex business problems using AI solutions. Think about times when you collaborated with stakeholders to translate their needs into impactful AI projects, and be ready to explain your thought process.
✨Understand Responsible AI
Familiarise yourself with ethical AI principles and governance frameworks. Be prepared to discuss how you ensure model validation and ongoing monitoring aligns with regulatory standards, especially in the financial services sector.
✨Communicate Clearly
Practice explaining complex technical concepts in a way that non-technical audiences can understand. This is crucial for cross-functional collaboration, so think about how you can convey your ideas effectively during the interview.