About this role
Salary: £56,000 - 96,000 per year
Requirements: 7+ years in backend, full-stack, ML engineering, or distributed systems2+ years in technical leadership, team leadership, or senior mentoring rolesHands-on experience deploying ML-powered services into productionStrong Python and Java experience, both actively used across our production servicesExperience with Snowflake, Spark, Databricks, or similar technologies, CI/CD pipelines, and modern DevOps toolingSolid understanding of SecOps practices and security-conscious system designDemonstrable track record of taking initiative and driving work independentlyBroad full-stack curiosity, with the ability to contribute outside a primary discipline when needed Responsibilities: Lead and grow a team of full-stack ML engineers, QA engineers, and a UI developerDefine technical direction for AI-enhanced services, internal tools, and platform componentsDrive architecture for model deployment pipelines, inference APIs, and data and feature systemsEnsure high-quality delivery across code quality, testing, documentation, and observabilityPartner with Product, Architecture, and ML Research teams to prioritise and scope workFoster a culture of modern AI development practices, including LLM tooling, MLOps, and automationSet and enforce DevOps and SecOps standards across our services and pipelinesCoordinate cross-team dependencies and contribute to roadmap planning Technologies: AIBackendCI/CDDatabricksDevOpsSupportJavaLLMMLOpsPythonSecuritySnowflakeSparkUX UI DesignMachine Learning More:
We are LexisNexis Risk Solutions, the essential partner in the assessment of risk. Within our Business Services vertical, we provide solutions that help businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our products support customers in Anti-Money Laundering and Counter Terrorist Financing, Identity Authentication and Verification, Fraud and Credit Risk mitigation, and Customer Data Management. This is a full-time role based in London Wall. We offer country-specific benefits and are committed to a fair and accessible hiring process, equal opportunity employment, and protecting applicants from recruitment scams.
last updated 36 week of 2026