Applied AI Engineering Lead - ML, Platform & DevOps

LexisNexis Risk Solutions Group; Greater London; On-site; GBP 56,000 - 96,000; Full time

Job summary

LexisNexis Risk Solutions is hiring a senior ML engineering leader for our London-based team. You will lead full-stack ML engineers, QA engineers, and a UI developer, defining technical direction for AI-powered services, internal tools, and platform components.

You will drive model deployment pipelines, inference APIs, and data/feature systems while ensuring high-quality delivery, observability, and robust security.

Qualifications

• 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

Skills

Backend engineering

Full-stack

ML engineering

Distributed systems

Team leadership

Mentoring

Tools

Snowflake

Spark

Databricks

CI/CD

DevOps tooling

Job description

LexisNexis Risk Solutions is hiring a senior ML engineering leader for our London-based team. You will lead full-stack ML engineers, QA engineers, and a UI developer, defining technical direction for AI-powered services, internal tools, and platform components.

You will drive model deployment pipelines, inference APIs, and data/feature systems while ensuring high-quality delivery, observability, and robust security.