Jobs at Lloyds Technology Centre

Design, develop, integrate and test data product features; manage development and operation of data management and knowledge systems; deliver small-to-medium projects; coordinate cross-team schedules; analyze diverse data to identify business impacts; coach colleagues and recommend process and IT security improvements.

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.

Assist in design, development, and maintenance of software under senior guidance. Write and review code, troubleshoot and support live services, apply DevOps practices, participate in incident RCA, learn test automation, and follow AI safety guidelines. Collaborate with stakeholders and contribute to team capability building.

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.

Lead design and delivery of Generative BI solutions: build generative models and semantic layers, collaborate with stakeholders and agile teams, craft prompts and conversational analytics, use Google Cloud/BigQuery and Power BI Copilot, and drive user adoption and best practices across the organisation.

Lead design, development, and scaling of AI/ML solutions (GenAI, LLMs, autonomous agents). Build production-grade LLM systems, RAG pipelines, and MLOps practices. Mentor teams, drive experimentation, integrate AI into products, and establish governance and model lifecycle best practices.

Deliver quality engineering within Agile feature teams: design and run functional, regression, smoke, API and performance tests; integrate third-party systems; automate tests with Playwright/Cucumber and NodeJS; set up CI/CD testing; facilitate pen testing; collaborate with product, architecture and engineering teams to ensure product quality.

Operate and improve production services for AI and digital products: coordinate incident triage, execute runbooks, monitor service health, onboard applications into support, drive problem management and automation, and maintain operational documentation and reporting.

Senior Site Reliability Engineer responsible for designing and improving observability, SLIs/SLOs, incident management, automation and operational runbooks. Collaborate with Product, Engineering and Production Support to reduce toil, improve resilience and onboard services into the SRE model. Mentor engineers and lead reliability initiatives, with possible line management responsibilities.

Serve as a Finance Data SME supporting transformation of finance data and systems using Google Cloud Platform and Oracle. Provide domain, technical, process and regulatory expertise to agile teams, advise stakeholders, drive controlled change, and support the Finance Platform while managing LTC-based colleagues.

Accountable for designing, implementing, maintaining and supporting DevOps pipelines, tooling and automation at Feature/Lab level. Recommends pipeline/tool choices aligned to group strategy, manages budgets and direct reports, drives process and security improvements, supports change and risk management, and delivers outcomes within established systems.

Lead Quality Engineering across lab/PT within a cross-functional feature team. Identify and improve processes (including IT security), define product specs, design tests and standards, deliver outcomes, manage/direct reports, and share QE knowledge across the group.

Accountable for designing, implementing, maintaining and supporting DevOps pipelines, tooling and automation for Feature/Lab teams. Recommend appropriate pipelines and tools aligned to group strategy. Manage budgets, coach and develop reports, identify and implement process and security improvements, and deliver outcomes within established systems and risk frameworks.

Orchestrate and define complex solution architectures aligned to technology strategy; enable delivery by shaping architecture roadmaps, partnering with Product Owners, engineering and enterprise architects, managing budgets, compliance, change, knowledge management, and leading medium-sized teams to deliver key products and outcomes.

Lead engineering teams in an ID & Auth lab to deliver secure, resilient cloud-native authentication services. Set technical vision, own roadmaps, ensure compliance, mentor staff, embed operational discipline, and drive modern engineering practices (CI/CD, automated testing, observability) on GCP.

Lead and deliver engineering work at team level: write and maintain clean code, perform code reviews, mentor junior engineers, support live services, troubleshoot incidents, apply DevOps and test automation, and drive small technical initiatives while ensuring scalable, secure, and performant solutions.

Develop, maintain, and support production services using Node.js and TypeScript in containerized environments. Participate in code reviews, troubleshoot live services, apply DevOps principles, contribute to automation and incident root-cause analysis, collaborate with stakeholders, and mentor early-career engineers while continuously improving technical skills.

Develop, maintain, and support production services using Node.js and TypeScript in containerized environments. Troubleshoot incidents, participate in code reviews, apply DevOps and test automation practices, collaborate with stakeholders, and mentor junior engineers. Contribute estimates, drive resilience and security improvements, and stay current with technology trends and basic AI concepts.

Product Owner for Lloyds Banking Group's Resolving Financial Crime lab. Owns a single product backlog, prioritises work, manages delivery and resources, champions customer outcomes, leads feature-team delivery, and applies domain knowledge in financial crime and ML/AI to drive product success.

Design and communicate solution architectures that meet quality, resilience and technical objectives. Lead delivery of workstreams, manage budgets, suggest process improvements, coach teams, support QA and change initiatives, and produce tailored documentation for stakeholders.