About Quilter plc
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. It is comprised of two segments: Affluent and High Net Worth. The Affluent segment includes the financial planning business, Quilter Financial Planning, the Quilter Investment Platform and Quilter Investors. The High Net Worth segment includes the discretionary fund management business, Quilter Cheviot, and Quilter Cheviot Financial Planning.
About The Role
Level: 5
Department: CDO
Location: Southampton or London
Contract type: Permanent
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:
Key Accountabilities
* 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.
Qualifications
* 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 (e.g., Neural Nets, CNNs, GANs, RNNs, Transformers); in‑depth understanding of NLP model development and LLM fine‑tuning, evaluation and monitoring framework; deep understanding of prompt engineering techniques including zero‑shot and few‑shot prompting strategies with the ability to enhance 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 (PyTorch, TensorFlow) and LLM libraries (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: 4× 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.
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