At a Glance
- Tasks: Lead the delivery of innovative AI solutions and tackle complex financial challenges.
- Company: Join Lloyds Banking Group, a leader in AI transformation and inclusive culture.
- Benefits: Enjoy a competitive salary, generous pension, 30 days holiday, and flexible working options.
- Why this job: Make a real impact in the future of finance with cutting-edge AI technology.
- Qualifications: Master’s or PhD in STEM, extensive AI experience, and strong programming skills.
- Other info: Be part of a diverse team focused on continuous learning and ethical AI practices.
The predicted salary is between 80400 - 106400 £ per year.
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.
Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it’s why we especially welcome applications from under-represented groups. We’re disability confident. So, if you’d like reasonable adjustments to be made to our recruitment processes, just let us know.
We also offer a wide-ranging benefits package, which includes:
- 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
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'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: Lloyds Bank plc
Contact Detail:
Lloyds Bank plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Scientist in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend AI meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, models, or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI-related questions and case studies. Practice explaining complex concepts in simple terms, as communication is key in collaborative environments like Lloyds Banking Group.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our exciting journey at Lloyds Banking Group.
We think you need these skills to ace Lead AI Scientist in Bristol
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Lead AI Scientist role. Highlight your experience with AI systems and machine learning, and don’t forget to mention any relevant projects that showcase your skills in a production environment.
Showcase Your Technical Skills: We want to see your expertise in programming languages like Python and your familiarity with AI/ML frameworks. Include specific examples of how you've used these tools to solve complex problems or deliver innovative solutions.
Emphasise Collaboration and Mentorship: Since this role involves working with diverse teams, share experiences where you’ve collaborated effectively. If you’ve mentored others, mention that too! It shows you’re not just a tech whiz but also a team player.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way to ensure it gets into the right hands. Plus, we love seeing candidates who take the initiative to apply directly.
How to prepare for a job interview at Lloyds Bank plc
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI concepts, algorithms, and techniques. Be ready to discuss your experience with generative AI and reinforcement learning, as well as any projects you've led in these areas.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in AI or machine learning. Highlight your analytical thinking and how you've applied data science techniques to deliver successful outcomes.
✨Emphasise Collaboration
Since this role involves working with cross-functional teams, be ready to talk about your experience collaborating with business leaders, product managers, and engineers. Share how you’ve fostered teamwork and driven projects forward.
✨Demonstrate Ethical Awareness
Given the focus on responsible AI governance, be prepared to discuss your understanding of AI ethics, bias mitigation, and regulatory compliance. Show that you’re not just technically skilled but also aware of the ethical implications of AI.