RELX
Full‑Stack Machine Learning Engineer
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Are you excited to build and deploy ML-powered services, tools, and full-stack applications that support fraud and identity analytics? Do you enjoy working across backend services, model-serving pipelines, and user interfaces to deliver solutions that make a real-world impact?
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 Software Engineer, you will build and deploy machine learning-powered services, tools, and full-stack applications that support fraud and identity analytics. You’ll work across backend systems, model-serving infrastructure, and user-facing applications, collaborating with cross-functional teams to deliver scalable, secure, and reliable solutions in production environments.
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
- Develop ML inference APIs, microservices, and data/feature pipelines.
- Build full-stack tools to support model evaluation and transparency.
- Integrate ML models into real-time production systems.
- Implement automated training, monitoring, and evaluation workflows.
- Use and contribute to AI-assisted development tools.
- Own DevOps and security standards for assigned services.
- Collaborate with data scientists, architects, and QA.
Requirements
- 4+ years software engineering (backend, full-stack, or ML).
- Strong Python and Java.
- Snowflake or similar data-platform experience.
- Familiarity with ML model serving and feature engineering.
- Strong ownership and independent execution.
- Working knowledge of DevOps and secure engineering.
- LLMs, embeddings, or vector databases.
- Behavioural, graph, or anomaly detection models.
- dbt, Snowpark, or Snowflake ML.
Risk benefit statement
Learn more about the LexisNexis Risk team and how we work here
Get help with your application
Your very own career expert that helps elevate your application to the next level.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
Please read our Candidate Privacy Policy.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
USA Job Seekers:
EEO Know Your Rights.
“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
Location