{"@context":"https://schema.org/","@type":"JobPosting","title":"Lead AI Scientist
Role details
Job location
Tech stack
Job description
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 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., 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.
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.
- 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., * 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 provide technical leadership and mentor 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.
Benefits & conditions
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","identifier":{"@type":"PropertyValue","name":"eFinancialCareers","propertyID":"JobId","value":56693529},"datePosted":"2026-03-24T13:12:46.000Z","validThrough":"2026-05-05T23:55:00.000Z","employmentType":"FULL_TIME","hiringOrganization":{"@type":"Organization","name":"eFinancialCareers","sameAs":""},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"London","addressRegion":"South East
