About this role
Salary: £44,000 - 84,000 per year
Requirements: Advanced degree (MSc or PhD) in Machine Learning, Natural Language Processing, Artificial Intelligence, or a related field.Proven track record of delivering AI solutions from research to production in real-world applications.Strong foundation in machine learning algorithms and deep learning concepts, including neural networks and transformer-based architectures.Experience developing and deploying scalable models on Databricks, Azure, and AWS, using tools such as FastAPI and Docker.Proficiency in model tracing and observability for LLMs in production, and in implementing evaluation frameworks for model quality and reliability.Strong understanding of software engineering best practices, including version control, testing, and CI/CD for production-ready AI systems.Domain expertise in financial services or other regulated industries is highly desirable.Strong experience in AI/ML research and development, specialising in deep learning-based NLP, information retrieval, and generative AI.Proven expertise in RAG/GraphRAG pipeline development and evaluation, including advanced retriever-reranker techniques.Experience in building knowledge bases and ontologies is highly desirable.Extensive experience in defining and implementing evaluation metrics for GenAI systems such as recall, precision, NDCG, LLM-as-a-Judge, BERTScore, BLEU score, and hallucination detection.Proven ability to provide mentorship and technical guidance to junior AI Scientists.Strong proficiency in Python and experience with frameworks such as NumPy, Pandas, Scikit-learn, and modern Generative AI libraries such as LangChain, LlamaIndex, and Azure AI Foundry.Hands-on experience with PyTorch and leading LLM libraries such as Hugging Face, LangChain, LangGraph, and LlamaIndex.Skilled in hypothesis formulation, defining evaluation metrics, conducting literature reviews, and building reproducible prototypes with critical outcome analysis.Comfortable with a fail-fast, learn-fast approach, iterating quickly to validate ideas and accelerate innovation.Exceptional problem-solving skills and a strong passion for innovation.Excellent communication and collaboration abilities, thriving in cross-functional environments. Responsibilities: We deliver end-to-end AI/ML solutions, including traditional and GenAI-based machine learning models, from discovery analytics and experimental design through to model development, benchmarking, enhancement, and deployment.We design and implement new Retrieval-Augmented Generation (RAG) pipelines and enhance existing frameworks, applying advanced techniques in data chunking and splitting, vectorisation, knowledge graph representation (GraphRAG), and query retrieval and evaluation.We design and execute experiments to benchmark and evaluate model performance using classical metrics and GenAI-specific techniques, and we develop and refine prompts to optimise GenAI model reasoning, accuracy, and overall effectiveness.We work closely with business partners, stakeholders, and technical teams, including data engineering and platform engineering, to translate business requirements into impactful AI solutions.We stay abreast of emerging tools, techniques, and best practices in LLMs, RAG, GenAI, model development, and evaluation, and proactively apply new knowledge to drive innovation. Technologies: AIAWSAzureCI/CDDatabricksDockerFastAPILLMMachine LearningPLCPyTorchPythonRAGnumpypandasCloudSupportLESS More:
We are Quilter plc, a leading wealth management business helping to enable brighter financial futures for every generation. We oversee 126.3 billion in customer investments and offer adviser and customer solutions across financial advice, investment platforms, multi-asset investment solutions, and discretionary fund management. Our business is made up of Affluent and High Net Worth segments, with a presence throughout the UK, Ireland, and the Channel Islands. This permanent Level 4 role sits within our AI Centre of Excellence in the Chief Operating Office, based in Southampton or London. We are transforming and modernising our business, and we offer a culture built on inclusion, curiosity, challenge, and teamwork, alongside core benefits including 26 days holiday, an incentive scheme, pension, private medical insurance, life assurance, and income protection.
last updated 36 week of 2026