Software Engineering Lead / Applied AI Engineering

Salary: £56,000 - 96,000 per year

Requirements:

• 7+ years in backend, full-stack, ML engineering, or distributed systems
• 2+ years in technical leadership, team leadership, or senior mentoring roles
• Hands-on experience deploying ML-powered services into production
• Strong Python and Java experience, both actively used across our production services
• Experience with Snowflake, Spark, Databricks, or similar technologies, CI/CD pipelines, and modern DevOps tooling
• Solid understanding of SecOps practices and security-conscious system design
• Demonstrable track record of taking initiative and driving work independently
• Broad 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 developer
• Define technical direction for AI-enhanced services, internal tools, and platform components
• Drive architecture for model deployment pipelines, inference APIs, and data and feature systems
• Ensure high-quality delivery across code quality, testing, documentation, and observability
• Partner with Product, Architecture, and ML Research teams to prioritise and scope work
• Foster a culture of modern AI development practices, including LLM tooling, MLOps, and automation
• Set and enforce DevOps and SecOps standards across our services and pipelines
• Coordinate cross-team dependencies and contribute to roadmap planning

Technologies:

• AI
• Backend
• CI/CD
• Databricks
• DevOps
• Support
• Java
• LLM
• MLOps
• Python
• Security
• Snowflake
• Spark
• UX UI Design
• Machine 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