Lead AI Scientist (AI)

TL;DR

Lead AI Scientist (AI/ML): Leading the technical delivery of cutting-edge artificial intelligence, machine learning, and generative AI solutions to drive business value within the financial sector with an accent on ethical and responsible implementation. Focus on developing AI use-case solution designs, overseeing the data science/AI delivery lifecycle, and mentoring junior data scientists.

Location: Hybrid, 40% (two days) in the London or Bristol office, United Kingdom.

Salary: £90,440–£131,450

Company

hirify.global is rebooting an icon and building the future of finance through investments in people, data, and technology.

What you will do

• Lead the development of AI use-case solution designs, applying data science techniques for model development and evaluation.
• Oversee the entire data science/AI delivery lifecycle, from data exploration to model deployment and performance optimisation using ML and AI Ops.
• Collaborate with cross-functional teams including business leaders, product managers, data scientists, and ML/AI engineers.
• Partner with the Responsible AI team to embed ethical principles, bias mitigation, and regulatory compliance into AI development workflows.
• Coach and mentor junior data scientists and AI engineers, fostering continuous learning.
• Maintain an active view of emerging tools and techniques, developing proof-of-concepts for new capabilities.

Requirements

• Extensive experience developing and deploying AI systems and machine learning models in a production environment.
• Master’s or PhD (preferred) in Computer Science, Mathematics, Engineering, or a relevant STEM field.
• Deep knowledge of AI/ML concepts, algorithms, and techniques, including Generative AI, Agentic AI, and reinforcement learning.
• Strong proficiency in programming languages, particularly Python.
• Expertise in AI/ML frameworks such as PyTorch/TensorFlow, Scikit-learn, Statsmodels, LangGraph, and ADK.
• Familiarity with cloud platforms, preferably Google Cloud Platform and Vertex AI.
• Strong analytical, critical thinking, and complex problem-solving abilities.
• Excellent communication and influencing skills with a high degree of ethical awareness, understanding AI ethics, risk mitigation, and bias detection.

Culture & Benefits

• A generous pension contribution of up to 15%.
• An annual bonus award, subject to Group performance.
• Share schemes including free shares.
• Flexible benefits package, such as discounted shopping.
• 30 days’ holiday, plus bank holidays.
• A range of wellbeing initiatives and generous parental leave policies.
• Commitment to an inclusive environment, celebrating diversity and welcoming applications from under-represented groups.