LexisNexis Risk Solutions
Software Engineering Lead (Machine Learning /AI)
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
What if you could lead a team shaping the next generation of AI-powered risk solutions that help businesses make faster, smarter, and more secure decisions?
Are you excited by the opportunity to combine technical leadership, machine learning, and platform engineering to deliver real-world impact at scale?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/
About the Role
As a technical leader, you will guide a multidisciplinary engineering team responsible for delivering AI-enhanced products, internal tools, and platform capabilities. You will combine hands-on technical expertise with people leadership, helping the team build scalable, secure, and reliable machine learning services while driving innovation and operational excellence.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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 the team's services and pipelines.
- Coordinate cross-team dependencies and contribute to roadmap planning.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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, both of which are in active use across the team's 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.
Risk benefit statement
Learn more about the LexisNexis Risk team and how we work here
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location