Senior ML Engineer - Real-Time Fraud & Identity

Senior ML Engineer - Real-Time Fraud & Identity

Full-Time 56700 - 69300 Β£ / year (est.) No working from home possible
LexisNexis Risk Solutions

At a Glance

  • Tasks: Build and deploy ML-powered services for fraud and identity analytics.
  • Company: Join LexisNexis Risk Solutions, a leader in risk management technology.
  • Benefits: Enjoy competitive salary, health benefits, and opportunities for remote work.
  • Other info: Collaborative environment with strong focus on career development and growth.
  • Why this job: Make a real impact by enhancing security through innovative ML solutions.
  • Qualifications: Experience in software engineering and familiarity with ML applications required.

The predicted salary is between 56700 - 69300 Β£ per year.

Lexis Nexis Risk Solutions is seeking an experienced software engineer to build and deploy ML-powered services, tools, and full-stack applications supporting fraud and identity analytics.

You will work across backend services, model-serving pipelines, and user interfaces.

The role emphasizes owning Dev Ops, security, and end-to-end delivery, collaborating with data scientists, architects, and QA to implement automated training, monitoring, and evaluation workflows.

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Senior ML Engineer - Real-Time Fraud & Identity employer: LexisNexis Risk Solutions

At ICIS, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and accountability. Our commitment to employee well-being is reflected in our generous benefits package, extensive learning opportunities, and a supportive environment that encourages personal and professional growth. Join us in our mission to optimize the world's resources while enjoying a fulfilling career in a globally distributed team that values your insights and contributions.

LexisNexis Risk Solutions

Contact Details:

LexisNexis Risk Solutions Recruitment Team

We think you need these skills to ace Senior ML Engineer - Real-Time Fraud & Identity

Machine Learning
Software Engineering
DevOps
Backend Services Development
Model-Serving Pipelines
Full-Stack Application Development
Fraud Analytics