Lloyds Banking Group

Artificial Intelligence

• Join a dedicated team responsible for the independent review, analysis and validation of GenAI models.
• Assist with independent validation and periodic reviews of GenAI models, ensuring models are robust, fair, explainable, and aligned with applicable regulations.
• Engage with a diverse array of use cases, improving your technical expertise across the LBG modelling landscape and throughout the entire model lifecycle, from development to monitoring and maintenance.
• Develop benchmark models and conduct quantitative analysis / recoding, predominantly using Python/GCP.
• Review model documentation to evaluate the soundness of the model and infrastructure, from inputs to use of the outputs.
• Raise validation challenges/findings and follow through to resolution.
• Provide clear, concise, and actionable reporting on validation outcomes and AI risk assessments to senior members of the team.
• Contribute to the improvement of validation frameworks and processes related to AI models.

AI Independent Validation Assistant Manager

• Play a key role in shaping the future of safe and responsible AI.
• You’ll dive into meaningful risk reviews, help design robust assurance controls, and bring teams together across the organisation to strengthen our AI governance framework.
• Play a hands‑on role in reviewing and challenging AI use cases, supporting the identification of AI‑specific risks and control effectiveness throughout the AI lifecycle.
• Support ongoing monitoring of AI use cases, helping surface governance gaps, emerging risks, and issues requiring escalation.
• Assist in shaping clear and concise AI risk documentation, helping translate complex risks into meaningful insights for internal collaborators.
• Stay close to AI regulation and policy developments, supporting impact assessments and helping the team respond to a rapidly evolving regulatory landscape.
• Collaborate across Model Risk, Technology Risk, and Responsible AI teams to help ensure AI oversight is joined‑up, proportionate, and aligned to enterprise governance.

AI Risk Oversight Assistant Manager

• Leading the AI Transformation Office Team, setting direction and coordinating large-scale, complex AI initiatives across the Group
• Acting as the senior integration point for the AI agenda across Platforms, Business Units and third parties
• Owning integrated AI roadmaps, managing dependencies, sequencing delivery and resolving interlocks
• Identifying delivery, regulatory and operational risks associated with AI change
• Acting as a key escalation point for AI-related blockers
• Leading a high performing team to achieve short term and long term targets in a fast-paced, fluid environment.

AI Transformation Lead

Infrastructure Engineer

• Design, implement, and deploy software-defined infrastructure and cloud security tooling
• Take ownership of complex problems and deliveries
• Build automated security controls using CI/CD pipelines, Infrastructure as Code, and Policy as Code
• Lead small engineering teams to deliver security-focused products
• Own production services across public cloud platforms, ensuring availability, reliability and security
• Contribute to the development and implementation of cloud security policies and standards
• Identify gaps in existing practices and drive continuous improvement initiatives
• Act as a technical leader and mentor for junior engineers

Senior Infrastructure Engineer – Cloud

Manager

• As a Customer Insight Manager, you will act as a strategic partner to product, proposition, channel and marketing teams.
• You will help frame business problems, prioritise where insight creates the most value, and turn complex data points into clear and actionable recommendations.
• You will explore customer behaviours, market trends and research to build a robust view of what customers expect from us in a rapidly evolving landscape.
• You will collaborate across the Group to embed customer understanding into decision making, proactively surface emerging opportunities, and influence senior stakeholders with compelling storytelling.
• Your work will help shape future propositions and experiences that deliver value for both our customers and the business.
• Lead and deliver insight projects focused on customer behaviours, preferences and emerging trends across propositions, features and channels.
• Triangulate behavioural data, research, analytics and market intelligence to create holistic and commercially grounded recommendations.
• Proactively identify customer and market shifts, providing forward looking insight to guide strategy.
• Prioritise and triage requests, shaping and challenging briefs to ensure clarity, focus and value.
• Translate complex data into simple, compelling narratives for senior stakeholders.
• Work collaboratively across product, proposition, channel, analytics and research teams to embed insight in decision making.
• Champion customer focused thinking and an insight led culture across the organisation.

Customer Insight Manager – Customer Needs

Attorney

• Building a long‑term technology roadmap that aligns to our Future Ready strategy, group architecture and business needs.
• Prioritising high‑value opportunities and defining a compelling vision for how digital solutions will improve workflows, risk management, governance, and stakeholder experience.
• Using data, insight, and strategic analysis to guide decision‑making and drive measurable impact.
• Driving end‑to‑end transformation.
• Leading cross‑functional transformation initiatives from discovery to delivery, applying design thinking, agile methods, and human‑centred innovation.
• Working across L&S to modernise processes, simplify ways of working, and embed automation, AI, and digital tools.
• Building and scaling technology solutions.
• Leading the Microsoft Power Platform Centre of Excellence in L&S (team of 4).
• Translating business needs into product‑ready requirements; prototyping, testing, and deploying tools.
• Navigating governance and promoting the adoption of enabling technologies including Power Platform, workflow tools, data automation, and AI‑powered products.
• Monitoring emerging trends across legal‑tech, AI, workflow digitisation, data innovation.
• Building relationships with external providers, industry bodies, and innovation networks.
• Partnering with senior stakeholders to align priorities and drive adoption.
• Communicating complex topics simply and persuasively.
• Providing day-to-day leadership to a team of innovation colleagues, setting direction, and using coaching capability.
• Encouraging an inclusive and development-focused team culture.

Senior Legal & Governance Innovation Manager

Customer Support

• You’ll begin your journey in one of our branches, providing face-to-face support to our customers
• You’ll learn, grow and develop within an inclusive organisation with genuine values focussed on putting people first making a difference to Customers, businesses and communities.
• Over time, there will be opportunities to transition into a range of roles such as, helping customers over the phone from home, continuing to deliver outstanding service remotely.

• Lead strategic policy projects that support the Group’s purpose and commercial priorities.
• Develop new ideas and innovate.
• Produce high-quality briefings and policy papers for senior leaders.
• Monitor and analyse political developments across Westminster, devolved administrations, and regional and local government.

Senior Policy Manager – Group Public Affairs

Engineering Manager

• Lead the technical delivery of GenAI validation tooling, including planning development sprints, breaking down product requirements into technical tasks, and coordinating development work.
• Design and develop reusable platform components and frameworks for GenAI validation, testing, and monitoring.
• Build prototype pipelines and evaluation frameworks to support testing and validation of GenAI models across multiple use cases.
• Act as the lead developer for selected projects, delivering end-to-end solutions from architecture design through implementation.
• Review code and guide developers to ensure engineering quality and consistency across the tooling platform.
• Collaborate with validation and risk oversight teams to translate requirements into scalable technical solutions and platform capabilities.
• Monitor emerging technologies (e.g., LLMOps tooling, RAG pipelines, agent frameworks) to continuously improve the validation tooling environment.

AI Engineering Manager – Tech and Tooling

Full-stack Engineer

• Set Technology Direction & Standards
• Define and communicate the technology vision for Segments & Propositions, partnering with Lead Architects and Product Owners.
• Establish engineering standards, quality assurance frameworks, and guidelines across the platform.
• Build Data Products & Drive Innovation
• Lead the design and delivery of data-driven products and services, enabling advanced analytics and AI capabilities.
• Champion pathfinder deliveries to explore emerging technologies and accelerate innovation.
• Lead FinTech Integration & Cloud Hosting
• Oversee integration of FinTech solutions, hosting and maintaining models in Google Cloud Platform (GCP).
• Ensure operational resilience, security by design, and compliance with regulatory standards.
• Mobile Application Delivery
• Provide strategic oversight and technical leadership for building mobile applications on iOS and Android, ensuring seamless integration with platform services and customer journeys through microservices.
• AI & Machine Learning Enablement
• Drive adoption of ML for model training, deployment, and monitoring, enabling scalable and secure AI solutions across propositions.
• Delivery Planning & Governance
• Create and manage delivery plans, establish governance frameworks, and manage dependencies across multiple teams and initiatives.
• Business Alignment
• Work closely with business stakeholders to guide, manage, and align technology delivery with their OKRs, ensuring outcomes support strategic priorities.
• Develop High-Performing Teams
• Attract, develop, and retain top engineering talent.
• Coach and mentor engineers to build capability in data engineering, cloud-native development, and modern delivery practices.
• Manage Distributed Teams
• Lead geographically dispersed teams across multiple locations, fostering collaboration and inclusion.
• Implement effective communication and delivery models for distributed agile teams.

Engineering Lead – Private Banking

Financial Planning and Analysis

• Act as the Group’s risk lead on motor finance compliance
• Building strong relationships with leadership and supporting engagement with regulators
• Interpret new and existing regulations accurately and adeptly
• Support risk-based decision making in line with risk appetite
• Ensure Conduct & Compliance Risks are measured, monitored, controlled, and reported on a timely basis
• Provide independent challenge to risk decisions
• Lead the development and implementation of a risk and control oversight plan

Head of Motor Finance Compliance

DevOps Engineer

• Support platforms serving millions of customers and billions of requests each month, ensuring availability, scalability and resiliency.
• Act as a key technical contributor within PEC, working with SRE guilds to improve cloud deployments, monitoring, CI/CD pipelines and cost efficiency.
• Explore and adopt new technologies and practices to advance SRE capabilities, including AI‑driven tooling and automation.
• Apply hands‑on experience running high‑throughput production systems to deliver customer value beyond POCs.
• Define and implement SLAs, SLOs and SLIs across software and data teams.
• Improve incident management through better tooling, alerting, runbooks and automated remediation.
• Act as a subject matter expert in site reliability engineering, contributing to technical discussions and fostering a culture of continuous learning across the lab.

Senior Site Reliability Engineer

• Design, build, and operate platform capabilities using Infrastructure‑as‑Code and modern CI/CD.
• Partner with architecture and feature teams to evolve our cloud roadmap and platform products.
• Embed a secure‑by‑design mindset and controls from design to runtime, safeguarding colleagues and customers.
• Define and operate against SLOs/SLIs; implement actionable observability, performance tuning and automation to reduce toil.
• Enable API‑first delivery with reusable patterns and golden paths for API producers/consumers; contribute to documentation and enablement.
• Mentor engineers and contribute to communities of practice, upholding Platform Engineering standards expected as a Senior Engineer.

Senior Public Cloud Infrastructure Engineer

• Support Finance readiness activities for the integration of our new Digital Payments business Curve into LBG.
• Collaborate across teams to ensure all key finance requirements are well defined and met as part of the programme of work, this includes establishing a strong framework of finance governance and controls.
• Support and challenge the Integration Programme to deliver its goals and key objectives, including identifying and delivering synergies.
• Collaborate across teams to prepare regular forecasts for the new Digital Payments business including group-level quarterly forecast and 4 Year Operating Plans and monthly latest views, taking into account strategic developments and updated business case assumptions.
• Support the direction, content and insight of financial and commercial performance of the new Digital Payments Business.
• Interpret and present management, ensuring that insight, results, and issues are well understood and explained in a way that is relevant.
• Work collaboratively across Finance and the Integration Programme.

Finance Manager, Digital Payment Transformation

• Assist with the design, build, and operate secure, automated cloud platform capabilities that support both API Gateway solutions and a broader set of Integration cloud products.
• Responsible for: Build and operate platform capabilities using Infrastructure‑as‑Code and modern CI/CD; partner with architecture and feature teams to evolve our cloud roadmap and platform products.
• Embed a secure‑by‑design approach and controls from design to runtime, safeguarding colleagues and customers.
• Define and operate against SLOs/SLIs; implement actionable observability, performance tuning and automation to reduce toil.
• Enable API‑first delivery with reusable patterns and golden paths for API producers/consumers; contribute to documentation and enablement.
• Contribute to communities of practice, upholding Platform Engineering standards expected at Grade D.