At a Glance
- Tasks: Lead AI projects, design innovative solutions, and mentor junior team members.
- Company: Join Lloyds Banking Group, a leader in AI transformation.
- Benefits: Enjoy a generous pension, bonus opportunities, and 30 days holiday.
- Other info: Collaborative environment with continuous learning and growth opportunities.
- Why this job: Make a real impact in AI while ensuring ethical practices.
- Qualifications: Master’s or PhD in STEM, with strong AI/ML experience.
The predicted salary is between 80000 - 100000 € 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.
Key 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 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 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, 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
- 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.
Lead AI Scientist employer: Lloyds Banking Group
Lloyds Banking Group is an exceptional employer, offering a dynamic work environment where innovation meets ethical responsibility in AI. As a Lead AI Scientist, you will benefit from generous pension contributions, flexible lifestyle benefits, and a strong focus on employee growth through mentorship and continuous learning opportunities. With a commitment to fostering a collaborative culture and providing a comprehensive wellbeing programme, Lloyds Banking Group stands out as a leader in the banking sector, making it an attractive place for those seeking meaningful and rewarding careers in AI.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those at Lloyds Banking Group. Attend industry events or webinars, and don’t be shy about sliding into DMs on LinkedIn. You never know who might help you land that interview!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving machine learning and generative AI. Share it on platforms like GitHub or your personal website, and make sure to highlight any innovative solutions you've developed.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with AI frameworks and ethical considerations in AI. Practice common interview questions and think of examples that demonstrate your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, keep an eye on our careers page for any new openings that match your skills and interests. We’re always looking for talented individuals to join our team!
We think you need these skills to ace Lead AI Scientist
Some tips for your application 🫡
Show Your Expertise:Make sure to highlight your extensive experience in developing and deploying AI systems. We want to see your knowledge of AI/ML concepts and frameworks, so don’t hold back on showcasing your skills in Python and any relevant tools you've used.
Tailor Your Application:When applying, tailor your CV and cover letter to reflect the key responsibilities mentioned in the job description. We love seeing how your past experiences align with our needs, especially in areas like project delivery and collaboration within cross-functional teams.
Emphasise Ethical Awareness:Given the importance of responsible AI governance, make sure to mention any experience you have with ethical AI practices. We’re keen on candidates who understand bias mitigation and regulatory compliance, so share any relevant examples!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values!
How to prepare for a job interview at Lloyds Banking Group
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI concepts, algorithms, and frameworks like TensorFlow and PyTorch. Be ready to discuss your experience with machine learning models and how you've applied them in real-world scenarios.
✨Showcase Your Project Delivery Skills
Prepare to talk about your experience overseeing the entire AI delivery lifecycle. Highlight specific projects where you led data exploration, model development, and deployment, and be ready to discuss the challenges you faced and how you overcame them.
✨Emphasise Collaboration
Since this role involves working with cross-functional teams, think of examples where you've successfully collaborated with business leaders, product managers, and engineers. Share how you facilitated communication and drove projects forward through teamwork.
✨Demonstrate Ethical Awareness
Be prepared to discuss your understanding of responsible AI governance and ethical principles. Talk about any experiences you have with bias mitigation techniques and how you've ensured compliance in your previous projects.
