AI Engineer
Lloyds Banking Group
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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About the role
- We're the Innovation team, part of the Client Data & Analytics platform within the Business and Commercial Banking division.
- Our mission is to create business value through Generative AI by delivering innovative, production-ready solutions across multiple domains.
- As an AI Engineer, you’ll play a key role in designing and deploying enterprise-scale AI systems, shaping technical direction for both prototypes and production solutions.
- You'll help shape advanced AI solutions that harness Large Language Models (LLMs) and emerging agentic patterns, driving innovation while meeting strict security and governance standards.
- Our team is small, fast-moving, and constantly evolving, giving you the opportunity to influence technical decisions and contribute across the full solution lifecycle.
- You’ll thrive if you embrace ambiguity, excel in resource-constrained environments, and take initiative to drive best practices—while staying ahead of AI advancements to keep us at the forefront of innovation.
Requirements
- Ability to architect AI systems at scale, applying cloud-native principles and ensuring security, compliance, and governance.
- Skilled at navigating enterprise processes—identifying requirements, engaging with risk and security forums, and securing architecture approvals—while balancing innovation with regulatory obligations.
- Experience influencing and improving enterprise AI environments by collaborating with platform and governance teams to define secure, scalable, and compliant foundations, and proactively driving best practices.
- Strong Python expertise and solid software engineering fundamentals—clean, maintainable code, modular design, testing, and best practices for building secure, production-ready systems.
- Demonstrated track record of delivering production-grade AI services, including API development, containerization, orchestration, and automated infrastructure and release pipelines for reliable, scalable delivery in cloud environments.
- Applied experience with observability and MLOps practices, monitoring system health and model performance, tracking metrics, and enabling continuous improvement in production environments.
- Ability to collaborate effectively with technical and non-technical partners, translating business requirements into actionable technical solutions, setting shared expectations, and providing clear, timely communication throughout delivery.
- Commitment to staying informed on AI advancements and assessing their applicability, ensuring solutions remain innovative and aligned with strategic goals.
- Actively contribute to an inclusive, collaborative team culture, fostering knowledge sharing and collective growth.
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI systems architecturecloud-native principlesPythonAPI developmentcontainerizationorchestrationMLOps practicesobservabilityautomated infrastructurerelease pipelines
Soft Skills
collaborationcommunicationinitiativeinfluenceadaptabilityproblem-solvingknowledge sharingteam culturetranslating requirementssetting expectations