At a Glance
- Tasks: Lead the design and delivery of innovative AI solutions that drive real business value.
- Company: Join Lloyds Banking Group, a leader in ethical AI implementation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Work in a hybrid environment with a focus on continuous learning and innovation.
- Why this job: Make an impact in the AI field while mentoring the next generation of tech talent.
- Qualifications: Extensive AI experience and a Master's or PhD in a relevant STEM field.
The predicted salary is between 90440 - 106400 £ per year.
- End Date: Sunday 31 May 2026.
- Flexible working is supported.
- 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
- 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.
- 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.
- Lead and work with cross‑functional teams comprising of business leaders, product managers, data scientists, data engineers and ML/AI engineers.
- Partner with the Responsible AI team to embed robust ethical principles, bias mitigation techniques, and regulatory compliance into all AI development workflows.
- Coach and mentor junior data scientists and AI engineers, helping to grow team capabilities and fostering a culture of continuous learning and curiosity.
- 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 Ph D (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 Py Torch/Tensor Flow, Scikit-learn, Statsmodels, Lang Graph and ADK.
- Familiarity with cloud platforms (preferably Google Cloud Platform and Vertex AI).
- 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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We think you need these skills to ace Lead AI Scientist
Python
Problem-Solving Skills
SQL
Communication Skills
Data Engineering
Automation
Data Pipeline Development
