Lead AI Scientist
Quilter
full-time
Posted on:
Location Type: Hybrid
Location: Southampton • United Kingdom
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Job Level
About the role
- 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 optimize 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 organizational 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.
Requirements
- PhD or MSc in Artificial Intelligence, Machine Learning, Computer Science or a related STEM field.
- 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 bases creation with Graph (Neo4j) and vector stores.
- 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.
- Advanced programming skills in Python (and optionally, other languages such as R or Java).
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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdeep learningnatural language processingprompt engineeringdata structuresNeural NetsCNNsGANsRNNsTransformers
Soft Skills
cross-functional collaborationstakeholder managementinnovation
Certifications
PhD in Artificial IntelligenceMSc in Machine LearningMSc in Computer Science