Lead AI Scientist

End Date: Sunday 31 May 2026. Salary Range: £90,440 – £106,400. Flexible working is supported.

Salary: £90,440 – £106,400. Location: London, Bristol, Leeds, Manchester or Edinburgh. Working pattern: Hybrid, 40% (or two days) on in the respective office.

Job Summary

As an AI technical delivery lead at Lloyds Banking Group, you will lead the design and delivery of cutting‑edge artificial intelligence, machine learning, and generative AI solutions to drive business value while ensuring ethical and responsible implementation.

Responsibilities

• AI Solution Design: Lead the development of AI use‑case solution designs, balancing innovation with practicality.
• Apply appropriate data science techniques to develop and/or tune models and evaluate performance.
• Project Delivery: Oversee the entire data science / AI delivery lifecycle, from data exploration to model development/tuning to deployment, monitoring, and performance optimisation using ML and AI Ops best practices.
• Collaboration: Lead and work within cross‑functional teams comprising of business leaders, product managers, data scientists, data engineers and ML/AI engineers.
• Responsible AI Governance: Partner with the Responsible AI team to embed robust ethical principles, bias mitigation techniques, and regulatory compliance into all AI development workflows.
• Team Mentorship: Coach and mentor junior data scientists and AI engineers, helping to grow team capabilities and fostering a culture of continuous learning and curiosity.
• Continuous Learning: Maintain an active view of emerging tools and techniques, develop proof‑of‑concepts to demonstrate new capabilities, and guide the team in solving complex AI use cases and improving existing approaches.

Qualifications

• 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 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 VertexAI).
• Strong analytical, critical thinking, and complex problem‑solving abilities.
• Excellent communication, interpersonal, and influencing skills, with the ability to convey business information from technical subject matter.
• A high degree of ethical awareness, with an understanding of AI ethics, risk mitigation, and bias detection.
• Adaptability and a passion for continuous learning to keep up with the rapidly evolving AI landscape.

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