At a Glance
- Tasks: Lead AI projects, develop innovative machine learning models, and collaborate across teams.
- Company: Join Quilter plc, a top financial advice and wealth management provider in the UK.
- Benefits: Enjoy competitive salary, private medical insurance, and generous holiday allowance.
- Other info: Inclusive culture that values diversity and promotes career growth.
- Why this job: Make a real impact in AI while working with cutting-edge technology in finance.
- Qualifications: PhD or MSc in AI, ML, or related STEM field required.
The predicted salary is between 80000 - 100000 £ per year.
About the Business
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). It has an adviser and customer offering spanning financial advice, investment platforms, multi-asset investment solutions, and discretionary fund management. The business is comprised of two segments: Affluent and High Net Worth.
Affluent encompasses the financial planning business, Quilter Financial Planning, the Quilter Investment Platform and Quilter Investors, the multi-asset investment solutions business. High Net Worth includes the discretionary fund management business, Quilter Cheviot, together with Quilter Cheviot Financial Planning. At Quilter we never stand still. Our foundations are rooted in our extraordinary expertise, which is trusted by hundreds of thousands of customers, but we have great ambitions to stay one step ahead and make an even greater difference to the people and communities we serve. Our business is transforming, continually modernising, and becoming even more customer centric. So, if you want to be bold in the pursuit of your ambitions, bring new ideas, and challenge and evolve what we do, it’s the perfect time to join us!
About the Role
Level: 5
Department: CDO
Location: Southampton or London
Contract type: Permanent
The new role sits within Chief Data Office (CDO) and reports Head of AI. The 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 both 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 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
Qualifications
- 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 (e.g., Neural Nets, CNNs, GANs, RNNs, Transformers).
- In-depth understanding of natural language processing (NLP) model development and large language model (LLM) fine‑tuning, evaluation and ongoing monitoring framework.
- Deep understanding of prompt engineering techniques, including zero‑shot and few‑shot prompting strategies with ability to enhance the performance of LLMs and agentic AI systems.
- Solid grasp of data structures and handling for both structured (SQL, pandas) and unstructured (text, images, audio) data, including knowledge base creation with Graph (Neo4j) and vector stores.
- 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 (e.g., PyTorch, TensorFlow) and LLM libraries (e.g., Hugging Face, LangChain/LangGraph, LlamaIndex).
- Strong experience in stakeholder management, working closely with business owners, engineers and governance teams to deliver AI initiatives end‑to‑end.
- Experience in GenAI and AI Agent development and deployment using scalable cloud platforms (Azure, AI Foundry, Databricks, AWS).
- Deep expertise in AI model evaluation framework and ongoing monitoring techniques.
- Expertise in providing technical leadership and mentoring AI Scientists, supporting their development and ensuring high‑quality AI delivery.
- Background in financial services or other regulated industries is highly desirable.
Skills
- Advanced programming skills in Python (and optionally, other languages such as R or Java).
- Strong data engineering and data wrangling abilities for both structured and unstructured data.
- Expertise in model development, evaluation, benchmarking and continuous improvement.
- Effective communication skills for presenting complex technical concepts to non‑technical audiences.
- 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. We celebrate the unique contributions of a diverse workforce and create a respectful, nurturing environment where every colleague can thrive.
Values
- Do the right thing: We act with integrity and are proudly committed to going above and beyond in service of our clients and the support we provide our communities.
- Always curious: We continuously seek new ideas and knowledge so we’re one step ahead of our clients’ needs. We look for inspiration everywhere and encourage experimentation, recognising that this is how we create brilliant solutions for brighter futures.
- Embrace challenge: We aim high to transform our potential into meaningful outcomes. With ambition as our driving force and a steadfast commitment to growth, we succeed for the good of every generation.
- Stronger together: Combining our diverse talents, we accomplish more collectively than we ever could do alone. We speak openly, actively listen, and support each other, and constructively challenge and embrace new ideas. We seek empowerment and demonstrate ownership and trust, with the confidence to make impactful decisions.
Core Benefits
- Holiday: 182 hours (26 days)
- Quilter Incentive Scheme: All employees are eligible to participate in incentive scheme, to incentivise business performance and their contribution.
- Pension Scheme: A non‑contributory company pension scheme that can be boosted through personal contributions.
- Private Medical Insurance: Single cover as standard with options to increase cover to include your partner or children.
- Life Assurance: 4x your salary.
- Income Protection: 75% of salary, less state benefits, payable after 26 weeks of absence.
- Healthcare Cash Plan: Jersey employees only.
In addition to our core benefits, we offer a range of flexible benefits to UK employees that you can choose from and pay for conveniently via a salary deduction.
Lead AI Scientist employer: Quilter
Contact Detail:
Quilter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Scientist
✨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 finance. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that align with financial services. This could be anything from model development to innovative solutions you've implemented. A strong portfolio can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI roles. Think about how you can demonstrate your problem-solving skills and technical expertise. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining Quilter and being part of our mission to innovate in wealth management.
We think you need these skills to ace Lead AI Scientist
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Lead AI Scientist role. Highlight your relevant experience in AI/ML, especially any hands-on projects you've worked on that align with our needs at Quilter.
Showcase Your Skills: Don’t just list your qualifications; demonstrate how your skills in machine learning algorithms and natural language processing can contribute to our mission. Use specific examples to illustrate your expertise!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary. Make it easy for us to see why you’re a great fit for the team!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
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 relevant to the role like NLP and LLMs. Be ready to discuss your hands-on experience with frameworks like PyTorch or TensorFlow, as well as any projects you've worked on that showcase your skills.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex business problems using AI solutions. Think about the challenges you faced, the approaches you took, and the outcomes. This will demonstrate your ability to apply your technical expertise in a practical setting.
✨Understand the Business Context
Familiarise yourself with Quilter's business model and how AI can enhance their services. Being able to connect your technical skills to their financial advice and wealth management offerings will show that you're not just a techie, but someone who understands the bigger picture.
✨Emphasise Collaboration
Since the role involves cross-functional collaboration, be prepared to discuss your experience working with stakeholders from different backgrounds. Highlight how you've successfully communicated complex ideas to non-technical audiences and how you’ve contributed to team success.