At a Glance
- Tasks: Lead the delivery of innovative AI solutions and mentor junior team members.
- Company: Join Lloyds Banking Group, a leader in AI transformation.
- Benefits: Generous pension, annual bonus, 30 days holiday, and flexible working options.
- Other info: Collaborative environment focused on ethical AI and continuous learning.
- Why this job: Make a real impact on the future of banking with cutting-edge AI technology.
- Qualifications: Master’s or PhD in relevant STEM field and extensive AI/ML experience.
The predicted salary is between 90440 - 106400 £ per year.
End Date: Tuesday 09 December 2025
Salary Range: £90,440 - £106,400
We support flexible working – click here for more information on flexible working options.
As an AI technical delivery lead at Lloyds Banking Group, you will be an expert practitioner at the forefront of the Group’s AI transformation. In this role, you will lead the technical delivery of cutting‑edge artificial intelligence, machine learning, and generative AI solutions, guiding their application to drive business value while ensuring ethical and responsible implementation. You will work within the AI Centre of Excellence, collaborating with diverse teams to solve complex financial challenges and create innovative, customer‑centric banking solutions.
Role 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. Guide the team in solving complex AI use cases and improving existing approaches.
What you’ll need:
- 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 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.
Benefits:
- A generous pension contribution of up to 15%
- An annual bonus award, subject to Group performance
- Share schemes including free shares
- Benefits you can adapt to your lifestyle, such as discounted shopping
- 30 days’ holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
Want to do amazing work, that’s interesting and makes a difference to millions of people? Join our journey. At Lloyds Banking Group, we’re driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you’ll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you’ll have many opportunities to learn, grow and develop.
We keep your data safe. So, we’ll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run your background checks. We’ll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person.
We’re focused on creating a values‑led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
Lead AI Scientist in Bristol employer: Dormont Manufacturing Co
Lloyds Banking Group is an exceptional employer, offering a dynamic work environment in London or Bristol where innovation meets ethical responsibility. With a strong commitment to employee growth, flexible working options, and a comprehensive benefits package including generous pension contributions and wellbeing initiatives, we empower our team to lead the charge in AI transformation while making a meaningful impact on millions of customers. Join us to be part of a values-led culture that prioritises diversity and inclusion, ensuring every voice is heard and valued.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Scientist in Bristol
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We think you need these skills to ace Lead AI Scientist in Bristol
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
