Senior AI Research Engineer developing and deploying next - generation robot foundation models and end - to - end policies. Researching and implementing methods for humanoid robots to perform real - world tasks in a hybrid work environment.
About the role
- Lead Data & AI Scientist at Lloyds Banking Group delivering AI-driven solutions for Banking. Shaping technical roadmaps and mentoring teams in advanced AI practices and deployments.
Responsibilities
- Conceptualise and lead the delivery of AI-driven solutions to solve complex business problems focusing on enhancing digital experiences, process automation and data driven insights to enable colleague and client journeys.
- Shape and define the capability roadmap for Data & AI, including cloud-native solutions and scalable architectures.
- Provide technical leadership, coaching, and mentoring for data scientists and engineers.
- Ensure rigorous quality assurance in model development, testing, and deployment.
- Develop proofs-of-concept to demonstrate new capabilities and accelerate adoption.
- Partner with stakeholders to understand business requirements and translate them into actionable AI solutions.
- Advocate for responsible AI practices and compliance with governance frameworks.
- Guide the team in solving complex AI use cases and improving existing approaches.
- Contribute to the design of training curricula and professional development paths for the Data & AI community.
- Drive measurable business outcomes through AI solutions aligned to strategic priorities.
- Ensure solutions are scalable, secure, and aligned with Group Data & AI standards.
Requirements
- Expertise in Machine Learning, AI, and Generative AI, with hands-on experience in designing and implementing advanced models.
- Proven track record of deploying AI solutions end-to-end from model development to production deployment and monitoring
- Strong understanding of foundational models and large-scale architectures, including experience with fine-tuning and adapting pre-trained models for business use cases.
- Experience with cloud-based AI/ML platforms and services
- Deep understanding of responsible AI principles, hallucination guardrails, and assurance frameworks.
- Excellent stakeholder management and communication skills.
- Experience applying AI and machine learning within Financial Services
Benefits
- A generous pension contribution of up to 15%
- An annual performance-related bonus
- 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
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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