Jobs at Lloyds Technology Centre

Lead development and delivery of core data management systems, provide input to IT security policies, analyze complex data sources, manage a portfolio of projects, build frameworks to meet business needs, and coach/mentor teams while co-leading product roadmap planning.

Lead technical development at team level, writing and maintaining clean Node.js/TypeScript code, performing code reviews, mentoring junior engineers, supporting live service operations, troubleshooting, applying DevOps practices, test automation, and leading small engineering initiatives to improve security, resilience, and performance.

Senior Technical Application Specialist responsible for delivering outcomes within data and knowledge management systems, managing budgets, mentoring staff, developing IT security policies, leading small change-management initiatives, defining product specifications and testing procedures, and analyzing complex technical issues to provide solutions.

Lead Product Owner oversees a single product backlog (2-3 features/journeys/components), defines user stories, shapes product vision and roadmap, prioritises and manages backlog, ensures change governance and business readiness, supports OKRs and benefits realisation, mentors teams, and coordinates large changes with integrators. Technical POs also handle technical design, budget, risk, supplier strategy, and environment planning.

Lead technical design and delivery of Workday HCM features, enforce development standards and change governance, conduct design and 4-eyes reviews, mentor engineers, and act as Workday subject-matter expert collaborating with business stakeholders.

Lead design and deliver end-to-end AI-enabled solutions focused on NLP and Document AI (OCR, parsing, extraction). Build scalable data pipelines (batch/streaming), integrate LLMs/RAG and Vertex AI, implement production-quality software (Python/Java), containerize services (Docker/Kubernetes), and own CI/CD, observability, and system-level trade-offs while collaborating with product, data science, and platform teams.

Design, build and support production-grade agentic AI applications and orchestration layers. Advise on architecture and integration, partner with cross-functional teams to deliver secure, resilient, and responsible AI solutions from prototype to production, and coach others to grow AI capability.

Lead design and deliver end-to-end AI-enabled solutions focused on NLP and Document AI. Build and maintain data pipelines (batch/streaming), implement production-grade code and APIs on GCP (BigQuery, Vertex AI), containerize services, create CI/CD pipelines, ensure reliability and observability, and collaborate with product owners, data scientists, and platform teams to deploy scalable, performant systems.

Provide technical support for Business Process Intelligence: apply BPMN modelling standards, support process and task mining interpretation, configure and administer SaaS process tooling, maintain controls and audit evidence, and collaborate with UK and LTC teams to improve process quality and delivery.

Lead development and delivery of data management systems, co-lead product roadmap and teams, set long-term objectives, implement development and security frameworks, analyse complex data to inform business decisions, mentor colleagues and manage delivery across multiple projects.

Lead and deliver engineering work across product or domain: design scalable, secure, testable systems; own application health and governance; mentor engineers; apply DevOps and test automation; perform incident root-cause analysis; and incorporate basic AI tools for familiar scenarios.

Develop, maintain, and support scalable software systems. Write clean code, participate in code reviews, troubleshoot live services, apply DevOps and test automation practices, mentor junior engineers, and contribute to system design and release processes. Apply basic AI concepts and drive improvements in security, resilience, and automation.

Accountable for delivering Quality Engineering across lab/PT within a multi-skilled feature team. Ensure product quality and customer requirements, design testing procedures and standards, develop product specifications, identify and implement process and IT security improvements, manage and coach direct reports, and contribute to the QE community by sharing knowledge.

Define test coverage and scope from acceptance criteria; perform automation and exploratory testing as part of a multi-skilled feature team. Design test procedures from product specifications, identify and remediate process/IT security shortcomings, coach and supervise small teams, manage risks, and support documentation and change-management activities to deliver quality products.

Design, develop and maintain large-scale data platform features and pipelines. Collaborate with product, architecture and engineering teams to produce end-to-end solutions, ensure scalability, reliability, CI/CD and observability, mentor engineers, and support production deployments and troubleshooting.

Assist in design, development, and maintenance of software applications. Write clean code, participate in code reviews, support live service monitoring and troubleshooting, apply DevOps principles, collaborate with stakeholders, and learn test automation and basic AI concepts under senior guidance.

Accountable for delivering Quality Engineering across lab/PT within a feature team. Defines product specifications, designs testing procedures and standards, identifies process and IT security improvements, manages direct reports, and contributes to group QE knowledge sharing and change delivery.

Lead and grow engineering teams (up to 20), set engineering strategy and roadmaps, champion agile/DevOps practices, ensure delivery of high-quality software, mentor engineers, promote systems thinking, automation, inner-source and cross-team collaboration, and ensure compliance with bank engineering standards.

Coordinate and manage integration dependencies between the Lab and external stakeholders, lead complex/high-risk implementations, liaise with suppliers, identify and mitigate delivery blockers, support governance activities, and supervise small teams to ensure safe, timely delivery.

Own and optimise end-to-end customer journeys by integrating insights from data, processes and systems. Collaborate with Product, Experience Design and Engineering to map, measure and improve journeys, coordinate cross-functional alignment, and support continuous improvement and prioritisation for product features.